Interactive vehicle information map

Information

  • Patent Grant
  • 9021384
  • Patent Number
    9,021,384
  • Date Filed
    Monday, June 2, 2014
    10 years ago
  • Date Issued
    Tuesday, April 28, 2015
    9 years ago
Abstract
An interactive vehicle information map system is disclosed in which, in various embodiments, geographical, geospatial, vehicle, and other types of data, geodata, objects, features, and/or metadata are efficiently presented to a user on an interactive map interface. In an embodiment, the user may search vehicle-related data via the interactive map by providing search criteria including, for example, information regarding a geographic area, a time period, a vehicle, a vehicle owner, and/or a license plate number, among other items. The map system may provide search results including a list of vehicles that match the search criteria, vehicle information, and/or points on the interactive map that indicate license-plate recognition read locations, among other information. In an embodiment, the user may view detailed information associated with particular vehicles including, for example, captured images, vehicle-owner data, event history, and the like. Further, the user may export data and/or create search alerts.
Description
TECHNICAL FIELD

The present disclosure relates to systems and techniques for geographical data integration, analysis, and visualization. More specifically, the present disclosure relates to interactive maps including data objects and vehicle information.


BACKGROUND

Interactive geographical maps, such as web-based mapping service applications and Geographical Information Systems (GIS), are available from a number of providers. Such maps generally comprise satellite images or generic base layers overlaid by roads. Users of such systems may, for example, search for and view locations of a small number of landmarks and/or determine directions from one location to another. In some interactive graphical maps, 3D terrain and/or 3D buildings may be visible in the interface.


SUMMARY

The systems, methods, and devices described herein each have several aspects, no single one of which is solely responsible for its desirable attributes. Without limiting the scope of this disclosure, several non-limiting features will now be discussed briefly.


In various embodiments, an interactive vehicle information map system is disclosed that enables a user to efficiently search through large amounts of vehicle-related data from many disparate sources. In various embodiments, the user may, for example, specify various search criteria including time frames, geographic areas, license plate numbers, vehicle descriptions, and/or owner descriptions. Further, in various embodiments, search results may be organized into particular vehicles. In various embodiments, vehicle-related data may be plotted on an interactive map. Additionally, a user may export search results and/or initiate a search alert.


According to an embodiment, a computer system is disclosed. The computer system may comprise: one or more hardware processors configured to cause the computer system to: display an interactive map on an electronic display of the computer system; receive an input from a user of the computing system including search criteria comprising at least one of: a geographic area of interest, a time period of interest, at least part of a description of a vehicle, or at least part of an identifier of an owner of a vehicle; and in response to the input: identify, from one or more electronic data sources, one or more vehicle-related data items that satisfy the search criteria, the one or more electronic data sources including at least one of: a vehicle owner information data source, a vehicle license plate data source, a law enforcement data source, a traffic incident data source, a license-plate recognition data source, or a criminal event data source; associate each of the identified vehicle-related data items with one or more corresponding vehicles; and display information regarding one or more of the vehicles having vehicle-related data items associated therewith.


According to another embodiment, another computer system is disclosed. The computer system may comprise: one or more hardware processors configured to cause the computer system to: display an interactive map on an electronic display of the computer system; receive an input from a user of the computing system including vehicle search criteria; identify, from one or more electronic data sources, vehicle-related data satisfying the vehicle search criteria, the vehicle related data including associated metadata; associate the identified vehicle-related data with one or more corresponding vehicles; for each of the vehicles: identify, from the one or more electronic data sources, additional vehicle-related data related to respective vehicles, the additional vehicle-related data identified based on data and metadata previously associated respective vehicles; and associate the additional vehicle-related data with the one or more corresponding vehicles; and display information regarding one or more of the vehicles having vehicle-related data items associated therewith.


According to yet another embodiment, a computer-implemented method is disclosed. The computer-implemented method may comprise: under control of a computing system configured with specific computer executable instructions, displaying an interactive map on an electronic display of the computer system; receiving an input from a user of the computing system including vehicle search criteria; identifying, from one or more electronic data sources, vehicle-related data satisfying the vehicle search criteria, the vehicle related data including associated metadata; associating the identified vehicle-related data with one or more corresponding vehicles; for each of the vehicles: identifying, from the one or more electronic data sources, additional vehicle-related data related to respective vehicles, the additional vehicle-related data identified based on data and metadata previously associated respective vehicles; and associating the additional vehicle-related data with the one or more corresponding vehicles; and displaying information regarding one or more of the vehicles having vehicle-related data items associated therewith.





BRIEF DESCRIPTION OF THE DRAWINGS

The following aspects of the disclosure will become more readily appreciated as the same become better understood by reference to the following detailed description, when taken in conjunction with the accompanying drawings.



FIG. 1 illustrates a sample user interface of an interactive vehicle information map system, according to an embodiment of the present disclosure.



FIGS. 2A-2B illustrate sample user interfaces of the interactive vehicle information map system in which a search is performed and results are displayed, according to embodiments of the present disclosure.



FIGS. 3A-3D illustrate sample user interfaces of the interactive vehicle information map system in which detailed vehicle and other information is displayed, according to embodiments of the present disclosure.



FIGS. 4A-4D illustrate sample user interfaces of the interactive vehicle information map system in which additional searching is performed and results are displayed, according to embodiments of the present disclosure.



FIGS. 5A-5B illustrate sample user interfaces of the interactive vehicle information map system in which vehicle information is exported, according to embodiments of the present disclosure.



FIGS. 6-7 show flowcharts depicting illustrative operations of the interactive vehicle information map system, according to embodiments of the present disclosure.



FIGS. 8A-8B illustrate a network environment and computer systems and devices with which various methods and systems discussed herein may be implemented, according to various embodiments of the present disclosure.





DETAILED DESCRIPTION OF SPECIFIC EMBODIMENTS
Overview

An interactive vehicle information map system (“map system”) is disclosed in which, in various embodiments, large amounts of geographical, geospatial, vehicle, and other types of data, geodata, objects, features, and/or metadata are efficiently presented to a user on an interactive map interface. In various embodiments, the interactive vehicle information map system allows for rapid and deep searching, retrieval, and/or analysis of various vehicle-related data, objects, features, and/or metadata by the user. In an embodiment, the user may search vehicle-related data via the interactive map by providing search criteria including, for example, information regarding a geographic area, a time period, a vehicle, a vehicle owner, and/or a license plate number, among other items. The map system may provide search results including a list of vehicles that match the search criteria, vehicle information, and/or points on the interactive map that indicate license-plate recognition (LPR) read locations, among other information. In an embodiment, the user may view detailed information associated with particular vehicles including, for example, captured images, vehicle-owner data, event history, and the like.


DEFINITIONS

In order to facilitate an understanding of the systems and methods discussed herein, a number of terms are defined below. The terms defined below, as well as other terms used herein, should be construed to include the provided definitions, the ordinary and customary meaning of the terms, and/or any other implied meaning for the respective terms. Thus, the definitions below do not limit the meaning of these terms, but only provide exemplary definitions.


Database: A broad term for any data structure or data store for storing and/or organizing data, including, but not limited to, relational databases (Oracle database, MySQL database, etc.), spreadsheets, XML files, and/or text files, among others.


Data Object, Object, or Feature: A data container for information representing specific things in the world that have a number of definable properties. For example, a data object can represent an entity such as a vehicle, a person, a place, an organization, a market instrument, or other noun. A data object can represent an event that happens at a point in time or for a duration. A data object may be associated with a unique identifier that uniquely identifies the data object. The object's attributes (for example, metadata about the object) may be represented in one or more properties. For the purposes of the present disclosure, the terms “event,” “feature,” “data object,” and “object” may be used interchangeably to refer to items displayed on the map interface of the interactive vehicle information map system, and/or otherwise accessible to the user through the interactive vehicle information map system. Examples of events/objects include, but are not limited to, license-plate reads, traffic incidents (such as accidents), criminal events, law enforcement activities (for example, traffic citations), vehicles, persons (for example, vehicle owners), and the like.


Properties: Also referred to as “metadata,” includes attributes of a data object/feature. At a minimum, each property/metadata of a data object has a type (such as a property type) and a value or values. Properties/metadata associated with features/objects may include any information relevant to that feature/object. Events/objects may be associated with various other events/objects, metadata and/or properties. For example, a vehicle object may be associated with various vehicle owner information, traffic incidents, license-plate reads, and the like.


Vehicle: A broad term that may, in various embodiments, refer to any of various types of machines including bicycles, automobiles (such as cars and trucks), motorcycles, boats, trains, and/or airplanes, among others.


Vehicle-Related Data: Any type of data and/or information related to a vehicle. Examples may include license-plate recognition (“LPR”) data, vehicle license plate data, vehicle owner information data, vehicle incident data, criminal event data, and the like. Vehicle-related data may be obtained from a single database or multiple databases. The single and/or multiple databases from which vehicle-related data may be obtained may be operated, maintained, and/or owned by various entities. For example, vehicle-related data may be obtained from public entities, private entities, law enforcement entities, government entities (for example, a department of motor vehicles (“DMV”)), LPR sources, and the like.


License-Plate Recognition (“LPR”): Also referred to as Automatic License-Plate Recognition (“ALPR”). Any process or system that uses optical character recognition on images to read vehicle registration plates (for example, vehicle license plates). For example, LPR may be accomplished by capturing a vehicle license plate with a camera mounted on a stoplight, on law enforcement vehicle, on a tow truck, or on any other type of vehicle, and/or near a road. The characters of the license plate may then be determined by optical character recognition to identify the vehicle. An image of the vehicle, an image of the license plate, the determined license plate characters, information related to the identified vehicle, information related to the registered vehicle owner, and/or any other type of information may be stored in one or more databases as part of LPR. The present disclosure may use the terms “LPR event” and/or “LPR read” interchangeably to refer to particular events in which a license plate is read by an LPR process.


DESCRIPTION OF THE FIGURES

Embodiments of the disclosure will now be described with reference to the accompanying figures, wherein like numerals refer to like elements throughout. The terminology used in the description presented herein is not intended to be interpreted in any limited or restrictive manner, simply because it is being utilized in conjunction with a detailed description of certain specific embodiments of the disclosure. Furthermore, embodiments of the disclosure may include several novel features, no single one of which is solely responsible for its desirable attributes or which is essential to practicing the embodiments of the disclosure herein described.



FIG. 1 illustrates a sample user interface of the interactive vehicle information map system, according to an embodiment of the present disclosure. The user interface may include a map interface 102, a search box 104, a geosearch button/icon 106, an ALPR (Automatic License-Plate Recognition) button/icon 108, and a search query box 110. As shown, the search query box 110 may include various required information boxes 112, various search parameters 114, a search button 116, and a save search button 117. Additionally, various events/objects, such as locations of license plate reads of vehicles matching search criteria, may be represented on the map interface 102 with icons and/or symbols, such as dot 118. In various embodiments, functionality of the interactive vehicle information map system (as described in reference to FIG. 1, and FIGS. 2A-7 below) may be implemented in one or more computer modules and/or processors, as is described below with reference to FIGS. 8A-8B.


The map interface 102 of FIG. 1 may be composed of multiple map tiles. The map tiles may be composed of multiple layers of geographical, vector, and/or other types of data. Vector data layers (also referred to as vector layers) may include associated and/or linked data objects/events. In an embodiment, vector layers are composed of data objects/features. Example systems and methods for generating an interactive map interface, such as the map interface 102, may be found in U.S. patent application Ser. No. 13/917,571 (the '571 Application), filed Jun. 13, 2013, and titled “Interactive Geospatial Map,” which is hereby incorporated by reference herein in its entirety and for all purposes.


In various embodiments, the user interface of FIG. 1 is displayed on an electronic display viewable by a user of the interactive vehicle information map system. The user of the interactive vehicle information map system may interact with the user interface of FIG. 1 by, for example, touching the display when the display is touch-enabled and/or using a mouse pointer to click on the various elements of the user interface.


The map interface 102 may include various highlighted events/objects and/or event/object icons. For example, the map interface 102 may include roads, buildings and structures, utilities, lakes, rivers, vegetation, and railroads, among other objects. The user may interact with the map interface 102 by, for example, rolling over and/or clicking on various objects. In one embodiment, rolling over and/or placing the mouse pointer over an object may cause the object to be outlined and/or otherwise highlighted. In the embodiment shown, various LPR events are shown in the map interface 102, each represented by colored or shaded dots (such as dot 118). In this example, the locations of the dots on the map indicate the locations of the LPR events (also referred to as LPR reads).


The user of the map system may interact with the user interface (as shown in FIG. 1) by scrolling or panning up, down, and/or side to side; zooming in or out; selecting objects; drawing shapes; selecting layers; performing a geosearch; viewing LPR data (for example, the locations of LPR reads and/or locations of LPR cameras); viewing event information (for example, criminal events, traffic events, law enforcement events, and the like); and/or viewing registered owner address locations; among other actions as are described below. Various user actions may reveal more or less map detail, and/or more or fewer events/objects.


In various embodiments, a user may provide various textual queries to the map system via the search box 104. For example, the user may search for a particular geographical location, such as a city, state, and/or zip code. Matching locations may be shown in a dropdown box, which the user may select. Selection of a search result may cause the map interface 102 to move and/or zoom to the selected location. In various embodiments, the user may use the search box 104 to search for various events/objects that may or may not be displayed on the map interface 102.


In various embodiments, the user may select the ALPR button 108 to cause, for example, the map system to display various LPR events on the map interface 102 (for example, dot 118). For example, in an embodiment the user may select the ALPR button 108 and, in response, the map system may display any available LPR events on a currently visible portion of the map shown in the map interface 102. In another embodiment, the ALPR button 108 button may be used to toggle display of LPR events on the map interface 102. In an embodiment, the user may select the ALPR button 108 to reveal the search query box 110.


In various embodiments, the user may select the geosearch button 106 to perform a geosearch and/or to reveal the search query box 110. In various embodiments, the term “geosearch” may refer to searches performed via the map system in which a particular geographic area and/or location of interest is defined. Providing a geographic area as a search criterion is described in detail below in reference to FIGS. 4A-4D. In an embodiment, selection of the geosearch button 106 may cause a user interface to be displayed in which the user may provide an address and/or draw a location on the map interface, as described below in reference to FIG. 4A. The geosearch may also be filtered using various vehicle-related attributes, such as those discussed below.


In various embodiments, the example user interface of FIG. 1 (in addition to the example user interfaces of FIGS. 2A-4D described below) may or may not include various of the buttons, icons, and/or other aspects shown. For example, in an embodiment the user interface of FIG. 1 may not include the geosearch button 106 and/or the ALPR button 108. Rather, the user may, for example, directly view and/or access the search query box 110.


The user may use the search query box 110 to perform various searches of vehicle-related data. For example, the user may provide various items of search criteria including, for example, information regarding a geographic area, a time period, a vehicle, a vehicle owner, and/or a license plate number, among other items. In an embodiment, under required information 112, the user may provide a time period of interest (including a start and end date/time). By providing a start and end date, the user may limit the search of vehicle-related data to a specific time period of interest. For example, the user may be investigating a robbery that occurred on Mar. 1, 2013, at 3:00 PM. Accordingly, the user may limit the search of vehicle-related data to Mar. 1, 2013, between 2:00 PM and 4:00 PM, so as to limit the search to the most relevant information and/or time period. In an embodiment, time period information may be required to perform a search via the search query box 110. In another, embodiment, time period information may not be required to perform a search via the search query box 110.


In various embodiments, the user may also provide information related to the search being performed, for example, the user may provide a case number (or other search name), and/or a search purpose. The case number, search purpose, and/or other information related to the search may be used to identify the search for future retrieval, auditing, export, and/or alerts, as described below.


Additionally, in various embodiments, the user may provide various search parameters by entering information into text boxes under search parameters 114. For example, the user may provide whole and/or partial information related to any of a license plate number, a vehicle description, a registered owner, and/or a geographical location. Multiple types of information may be provided in the same search. For example, the user may provide part of a vehicle description and a geographic location and/or a license plate number. As shown in FIG. 1, the user has provided part of a license plate number: “GROUP*”. In an embodiment, an asterisk (“*”) may indicate one or more wildcard characters (in other embodiments, the wildcard operator may be assumed for a search without specific inclusion of a wildcard character). Thus, for example, a search for “GROUP*” may match any license plates beginning with “GROUP”, for example, “GROUPA”, “GROUPYYY”, and the like.


In an embodiment, the user may select the search button 116 and/or the “VIEW RESULTS” button to perform the specified search. In an embodiment, the user may select the “CLEAR” button to clear the provided search criteria.


In an embodiment, the user may select the save search button 117 to save the search and/or generate a search alert. For example, in an embodiment the user may provide search criteria (as described above), perform a search (by, for example, pressing the search button 116) to verify the results of the search meet the user's needs, and then select the save search button 117. Selection of the save search button 117 may, in an embodiment, save the provided search criteria such that a future search may be easily initiated by the user by, for example, selecting the saved search from a list.


In another embodiment, selection of the save search button 117 may initiate a search alert. A search alert may include a periodic re-running of the specified search (using the provided search criteria) and delivery of search results to the user. In an embodiment, the user may indicate the frequency with which the saved search is to be run. In an embodiment, the user may specify how search results are to be delivered. For example, the user may specify an email address. Alternatively, search alert results may be provided as a pop up window in the user interface of the map system, and/or by any other delivery method. In an embodiment, only new search results may be delivered to the user. For example, the user may initiate a search alert for a particular license plate number, in a particular area, for any time period. Subsequent to the initial search, when any new LPR read of the specified license plate number in the specified area (and/or satisfying other search criteria) is found by the system, the user may be notified via a search alert.


In an embodiment, the system may include a user interface through which the user may modify and/or view saved searches, and/or create new saved searches. For example, the user interface of FIG. 1 may including a “Manage Alerts” and/or “Manage Searches” button that may be selected by the user to modify and/or view saved searches, and/or create new saved searches. In another example, selection of the save search button 117 may, in an embodiment, cause a user interface to be provided to the user through which the user may modify and/or view saved searches, and/or create new saved searches. In various embodiments, a “Manage Alerts” user interface may include a listing of various saved searches/alerts of the user. Additionally, the “Manage Alerts” user interface may include a listing of various saved searches/alerts of a team, and or teams, of users with which the user is associated. In an embodiment, the user may select a particular search/alert to view, for example, various criteria/parameters associated with the search/alert, a number (and or listing of) results associated with the search/alert, an email address (or other notification method) associated with the search/alerts, and/or the like. In an example, the user may modify, edit, add to, and/or delete any of the various displayed items of information associated with a search/alert. Further, in an embodiment the user may delete particular searches/alerts and/or create new searches/alerts.



FIGS. 2A-2B illustrate sample user interfaces of the interactive vehicle information map system in which a search (for example, based on the search criteria of FIG. 1) is performed and results are displayed, according to embodiments of the present disclosure. In reference to FIG. 2A, in response to a search (and/or a geosearch), a list of search results 202 and/or associated events/objects 212 may be shown. In various embodiments, a user may select a back button 204 to return to the search query box (as shown in FIG. 1) to, for example, modify the search criteria. Additionally, the user may select the export button 206 to export the search results to another format (for example, a printable format). For example, the user may select the export button 206 to export various vehicle-related data associated with the various vehicles listed in the search results box 202.


As shown, in an embodiment the search results box 202 may include various vehicles that may be identified by the map system as having vehicle-related data that satisfy the search criteria. For example, in an embodiment the map system may search any available vehicle-related data to identify data satisfying the provided search criteria. Then, the identified vehicle-related data may be analyzed by the map system to determine vehicles with which the data is associated. Next, the determined vehicles may be listed in the search results box 202, including various items of related data. In an embodiment, multiple items of identified vehicle-related data that satisfy the search criteria may be related to the same vehicle. For example, multiple LPR event (also referred to as LPR reads) may be available for the same vehicle. In this example, each of the related LPR events, and associated vehicle data, would be aggregated and displayed as a single vehicle in the search results box 202. This process is further described in reference to FIG. 6 below.


Various vehicles having vehicle-related data meeting the search criteria may be displayed in a list, as shown in FIG. 2A. In various embodiments, each listed vehicle may include, for example, a photo (which, in an embodiment, may be obtained from an LPR or other data source) (for example, photo 208), a license plate number, a description of the vehicle, and/or a description or name of a registered owner (for example, as indicated by 210). In an embodiment, in response to the user selecting and/or hovering a cursor over one of the listed vehicles, particular events/objects 212 associated with the vehicle may be highlighted and/or displayed (for example, as described below in reference to FIGS. 3A-3D). Similarly, in an embodiment, the user may select and/or hover a cursor over any of the displayed event/objects 212 to cause an associated vehicle to be highlighted in the search results list 202. In an embodiment, the user may select a particular item of information, for example, “Person 1” (as indicated by 220), to view additional information related to that particular item (for example, various data related to Person 1, as described in reference to FIG. 3D below). In an embodiment, the user may select and/or hover a cursor over any of the displayed event/objects 212 to cause a pop up with related vehicle, object, and/or event information to be displayed. In various embodiments, the user may select multiple events/objects in the map interface.


In an embodiment, a save search button, similar to the save search button 117 described above in reference to FIG. 1, may be included in the search results box 202. For example, a save search button may be included above or below the information associated with the various vehicle search results. In another example, the save search button may be included next to the export button 206. In various embodiments, selecting the save search button causes the system to save the search and/or generate a search alert (as described above in reference to FIG. 1) associated with the currently displayed search results. For example, selecting the save search button while viewing the search results of FIG. 2A may cause the system to save (and/or generate a search alert related to) the search criteria (for example, the search for plate numbers starting with “GROUP”) and/or results currently displayed.


Referring to FIG. 2B, in an embodiment the user may select and/or hover a cursor over any of the listed vehicles and/or vehicle photos (as shown at indicator 232) to cause the map system to display an enlarged photo of the vehicle (as shown at 234). In various embodiments, multiple LPR reads may be available to the map system for displaying photos as shown in FIGS. 2A-2B. In these embodiments, the map system may determine a particular photo to display to the user by default based on image selection rules. For example, the system may select a LPR photo/image of the vehicle that is within a certain time period and/or having a particular OCR quality. For example, a photo that was taken within a particular time period, for example, within the last year (such that, for example, the photo is not so old that the representation of the vehicle is no longer accurate) may be preferred over older photos. Also, a photo that has a high OCR quality, such as a confidence level that characters in the image are correct, may be preferred over other images with lower OCR qualities. In an embodiment, the map system may also determine that a photo taken in the middle of the day (when the sun is brightest) is preferable to a photo taken, for example, at night. Thus, images may be selected for display based on time of day when taken. In some embodiments, the map system may further determine a quality level of the camera that obtained the photo, and select a photo produced by a higher quality camera. In various embodiments, the user may select any of the listed vehicles to view additional vehicle-related data associated with the selected vehicle, as is described in reference to FIGS. 3A-3D below.



FIGS. 3A-3D illustrate sample user interfaces of the interactive vehicle information map system in which detailed vehicle and/or other information is displayed, according to embodiments of the present disclosure.


Referring to FIG. 3A, a vehicle details box 302 is shown. A back button 304 may be selected by the user to return to the list of vehicles (as shown in FIGS. 2A-2B), and an export button 206 may be selected by the user to export vehicle-related data associated with the selected vehicle. The vehicle details box 302 also may include three buttons that may be selected by the user to display various vehicle-related data associated with the selected vehicle, including a DMV button 308, an LPR button 310, and an event history button 312. FIG. 3A shows the DMV button 308 selected by the user such that vehicle-related data, including vehicle and/or owner information may be displayed as indicated at 314. Information 314 may be received, in various embodiments, from a DMV database and/or other government, private, and/or public database. Additionally, in an embodiment, events/objects associated with the selected vehicle are shown in the map interface, as indicated by displayed object 316.


Referring to FIG. 3B, a vehicle details box is shown in which the user has selected the LPR button 310. As shown, in an embodiment selection of the LPR button 310 causes display of various LPR-related information, including a vehicle photo 320, a license plate photo 322, and LPR data 324. In an embodiment, the LPR-related information may include multiple LPR reads, however one such read is shown in FIG. 3B for illustrative purposes. In an embodiment, LPR data 324 may indicate the time of the LPR read and/or the source of the LPR read/data (in this example, a law enforcement squad car). In an embodiment, selecting and/or hovering a cursor over one of the LPR-related information items may cause an associated event/object in the map interface to be displayed and/or highlighted. Similarly, selecting and/or hovering a cursor over an event/object in the map interface may cause an associated LPR-item in the vehicle details box to be highlighted. In an embodiment, selecting and/or hovering a cursor over an image in the vehicle details box may cause a more detailed view to be displayed, as shown with image 326. In various embodiments, LPR information may be obtained from various private and/or other government and/or public databases.


Referring to FIG. 3C, a vehicle details box is shown in which the user has selected the event history button 312. As shown, in an embodiment selection of the event history button 312 causes display of various event information (for example, a parking summons and an accident as shown at 340). Event information may include, for example, traffic incidents (such as accidents), criminal events, law enforcement activities (for example, traffic citations), and the like. In various embodiments, event history information may be obtained from various private and/or other government and/or public databases.


Referring to FIG. 3D, a person details box is shown in which the user has select to view information and data related to an individual (“Person 1,” as indicated at 350). In an embodiment, the user may view information and data related to a person by selecting, for example, a name of the person displayed in the user interface of the map system (for example, the Person 1 shown at 220 of FIG. 2A). As shown, in an embodiment selection of a person causes display of various information and data related to the person, including for example, law enforcement and criminal information 352. Information and data related to a person that may be displayed may include, for example, traffic incidents (such as accidents), criminal events, law enforcement activities (for example, traffic citations), property ownership, demographic information, and the like. In various embodiments, the user may select to view various information and data related to, for example, persons, vehicles, events or incidents (for example, criminal events), among other objects and/or items. In various embodiments, information and data related to any of the objects and items mentioned above may include displaying those objects and/or items at particular related locations on the map interface of the map system. In various embodiments, as described below in reference to FIG. 6, data and information related to various objects and/or items may be accessed from various databases internal and/or external to the map system, including various private, public, and/or government databases.


In various embodiments, a user of the interactive vehicle information map system may view, in addition to ALPR data, various other items of information in the map interface. For example, a user may view locations of events associated with law enforcement activities, traffic incidents (such as parking tickets, moving violations, and the like), criminal activities (such as arrests, and the list), LPR camera locations, and/or the like (such as emergency calls, and the like). In another example, the user may view locations of registered owner addresses. In various embodiments, the various items of information shown on the map interface (including, for example, LPR reads, LPR camera locations, criminal events, traffic events, law enforcement events, registered owner addresses, and the like) may be indicated by particular icons. For example, a registered owner address may be indicated by a house icon, a traffic event may be indicated by a vehicle icon, and/or an LPR camera location may be indicated by a camera icon. In various embodiments, the user may selectively view, in the map interface, one or more of the items of information mentioned above. Further, the user may view items of information associated with particular selected vehicles, persons, search results, and/or the like. In an embodiment, the map system may display the locations of fixed LPR cameras and/or mobile LPR camera for a given time period, for example.



FIGS. 4A-4D illustrate sample user interfaces of the interactive vehicle information map system in which additional searching is performed and results are displayed, according to embodiments of the present disclosure. Referring to FIG. 4A, the user has selected to add location information to a search, as indicated at 402. As described above in reference to FIG. 1A, in an embodiment the user may provide location information by selecting the geosearch button. In an embodiment, selection of the geosearch button and/or the location button 402 may cause display of the Add at Address” button 404 and the “Draw Location” button 406. The user may select the “Add at Address” button 404 to provide an address of interest, and/or may select the “Draw Location” button 406 to draw a geographic area of interest on the map interface directly. In various embodiments, the user may draw various shapes (for example, a circle, an ellipse, a rectangle, a polygon, and/or any arbitrary as defined by straight and/or curved edges) on the map interface to define a geographic area of interest in which to limit a search. As shown on FIG. 4B, at indicator 410 the user may provide an address and/or a latitude and longitude of interest. Further, the user may specify a search radius 424. The geographic area may be indicated on the map interface, as shown at indicator 412. In an embodiment, the user may select the circle 412 to manually increase and/or decrease the radius of the search area. Alternatively, the user may adjust the radius of the search area by selecting and sliding the bar 414. In an embodiment, the user may specify a location of interest in any other way, including, for example, by neighborhood, city, state, zip code, and/or any other geographic indicator. In various embodiments, results may be derived from any (or multiple) of the information sources mentioned above, including LPR sources and/or DMV sources.


In an embodiment, the user may then select the search button to perform the search based on the provided search criteria (including the specified geographic area of interest). As shown in FIG. 4C, a list of vehicles satisfying the search criteria may be displayed in a list, such as a search results list 420 (similar to the search results list described in reference to FIG. 2A). Additionally, events/objects related to the listed vehicles, and meeting the search criteria, may be displayed in the map interface as indicated by 422.



FIG. 4D shows various other search criteria including vehicle description information 430 and registered owner information 440 that may be provided by the user, according to various embodiments. In various embodiments, all or part of any item of search criteria may be provided by the user, including information in any combination. For example, the user may provide a vehicle make in combination with a last name of an owner. In another example, the user may provide a partial plate number, a vehicle color, and specify a particular geographic area of interest. In each of these examples, the map system may search any available vehicle-related data for data satisfying the search criteria, and display search results to the user as a list of identified vehicles. In various embodiments, the map system may further retrieve additional information related to any of the identified vehicles.


In an embodiment, the user interface may include an “animate” option associated with listed vehicles satisfying the search criteria and having multiple associated LPR reads. In this embodiment, selecting the “animate” options may cause the map system to display, on the map interface, the movement of the selected vehicle over time from one LPR read location to each subsequent LPR read location.


In various embodiments, the map system may include a “type-ahead” aspect associated with each of the search criteria text fields. The type-ahead aspect may cause a list of word completion options to be displayed as a user types search criteria information into a search field. For example, a user may begin typing a vehicle make by typing an “H”. The map system may then display a number of possible completion options including, for example, “Honda,” and “Hyundai.” Additionally, the type-ahead aspect may match a user's search to combinations word completion options, for example, combined make/model vehicle pairs. For example, user may begin typing a vehicle make by typing an “H” and the map system may then display a number of possible completion options including, for example, “Honda Civic,” and “Honda CR-V.”


Additionally, in various embodiments, the map system may facilitate more accurate and/or easier searching by the user by automatically searching for similar, or easily misread/confused, characters (for example, in any of the search fields described above). For example, a user may provide a search query for license plates beginning with, or containing, a “5”. In such an example, the map system may also automatically search for license plates beginning with, or containing, similar characters such as an “S”. In other examples, an “I” (capital i) may also cause a search for a “1”; and/or “0”, “O”, and/or “D” may be transposed with one another. Accordingly, in an embodiment, the map system may facilitate searching for vehicle information when particular easily misread characters and/or words are included in a search field. In an embodiment, the map system may enable a user to enable or disable automatic searching for similar characters.


In various embodiments, the search criteria license plate number field may include the option of inputting multiple license plate numbers (or partial numbers) such that searches related to multiple numbers may be performed simultaneously.


In an embodiment, a user may optionally select a name of an owner associated with a vehicle to view additional available information related to the owner.


Vehicle Information Export



FIGS. 5A-5B illustrate sample user interfaces 502 and 520 of the interactive vehicle information map system in which vehicle information is exported, according to embodiments of the present disclosure. As described above, vehicle information related to one or more vehicles may be exported by the user. FIG. 5A shows an example user interface 502 including exported vehicle-related data associated with multiple vehicles satisfying particular search criteria. FIG. 5B shows an example user interface 520 including exported vehicle-related data associated with a single vehicle. In various embodiments, search alerts may be provided (for example, search alerts delivered via email) in a format similar to the export formats shown in FIGS. 5A and 5B. For example, in an embodiment a search alert may indicate new search results have been found (for example, LPR events associated with vehicles satisfying a particular search criteria), and may list various information associated with those search results (for example, addresses of locations of LPR events, maps showing LPR event locations, license plate and/or vehicle images, license plate numbers, and/or the like). In various embodiments, various search results user interfaces (for example, user interfaces 502, 520, and/or a search results user interface) may include a listing of search criteria or parameters associated with the search results.


In various embodiments, exported vehicle-related data may include vehicle photos (for example, from LPR reads), license plate photos, vehicle information, DMV information, related events (or event history) information, vehicle owner information, a frequency analysis or chart (for example, a chart that indicates the time of day at which LPR reads are most common, or a chart that indicates the frequency of LPR reads by day, weekday, hour, and/or the like), a map of the locations of LPR reads, a timeline indicating the times of LPR reads, among others. In various embodiments, the exported information may be exported in an HTML, XML, TXT, PDF, and/or any other suitable format.


Example Operations



FIG. 6 shows a flowchart depicting illustrative operations and/or processes of the interactive vehicle information map system, according to an embodiment of the present disclosure. In various embodiments, fewer blocks or additional blocks may be included in the processes, or various blocks may be performed in an order different from that shown in FIG. 6. In an embodiment, one or more blocks in FIG. 6 may be performed by, or implemented in, one or more computer modules and/or processors, as is described below with reference to FIGS. 8A-8B.


At block 602, various vehicle-related data may be received and/or accessed by the system from various databases and/or data sources (including, for example, from databases maintained by private entities, law enforcement entities, government entities (for example, a department of motor vehicles (“DMV”)), LPR sources, and the like. In an embodiment, the vehicle-related data may be received at a server-side component of the system, such as the application server 858 of FIG. 8A. The data may then be processed by the server at block 604. For example, the vehicle-related data may be organized by location, time, type, and/or by any other useful index so as to enable fast searching of the data. At block 606, a user interface is generated that displays a user interface, as described with reference to the figures above. For example, a map interface and various search options may be displayed on the user interface.


At block 608, the user may interact with the user interface of the system in any of the ways described above, and as further described below in reference to FIG. 7. For example, the user may provide various search criteria to the system. At block 610, the processed vehicle-related data may be accessed by the system based on the provided search criteria, and data satisfying the provided search criteria may be determined and/or identified.


In various embodiments, the map system may access various internal and/or external databases in response to user actions. The various accessed internal and/or external databases may or may not include the processed vehicle-related data described above. For example, in response to a user request for information related to a particular person, the map system may access an external law enforcement database for criminal information related to the particular person. In various embodiments, the map system may “iteratively search” for data and information in response to a user action, for example, a search and/or selection of a particular vehicle and/or person. For example, in an embodiment, in response to an initial search for a particular license plate, the map system may, in a first iteration, access DMV data to determine information related to the particular license plate (for example, a registered owner name and address, and a vehicle description and vehicle identification number). Then, the map system may perform a second search iteration in which the obtained DMV data is used to access related data and information in a criminal event and/or law enforcement database (for example, to obtain citation information related to the determined vehicle and/or criminal event information related to the determined vehicle owner). Further, the map system may, in a third iteration, access additional databases (including previously accessed databases) to determine various other items of information related to data obtained in the second (and/or first) iteration. For example, the map system may access property ownership records related to a criminal event determined to be related to the vehicle owner. In various embodiments, data and information accessed in various “iterative” searches may include data objects. In an embodiment, the data and information accessed during interactive searches may be clustered. Examples of data clustering may be found in, for example, U.S. patent application Ser. No. 13/968,265, filed Aug. 15, 2013, titled “GENERATING DATA CLUSTERS WITH CUSTOMIZABLE ANALYSIS STRATEGIES,” and U.S. patent application Ser. No. 13/968,213, filed Aug. 15, 2013, titled “PRIORITIZING DATA CLUSTERS WITH CUSTOMIZABLE SCORING STRATEGIES,” each of which is hereby incorporated by reference herein in its entirety and for all purposes.


At block 612, the identified vehicle-related data satisfying the search criteria is organized into, and/or associated with, one or more vehicles. For example, two LPR reads may have been identified that meet the search criteria and include information related to a same or similar vehicle. For example, each of the LPR reads may indicate a license plate number of XRZ456. In another example, the two LPR reads may have similar license plate numbers, but they may differ slightly due to errors in optical character recognition (for example, one may indicate XRZ456, while the other may indicate XRZ458). In this example, other information related to the LPR reads, such as identified vehicle color, or determined owner information, may provide sufficient information to the system that the LPR reads may be associated with the same vehicle.


Once the vehicle-related data is organized by vehicle, at block 611 the system may optionally access additional vehicle-related data from other sources that is determined to be related to the identified vehicles. For example, DMV information may indicate an owner and vehicle description associated with the vehicle with license plate XRZ456. Further, law enforcement data may indicate various events related to either the indicated owner and/or the vehicle with license plate XRZ456. Any such additional data may be accessed, aggregated, and associated with the identified vehicle such that it may be made available to the user of the map system.


At optional block 614 a search alert may be generated by the map system in response to the user selection (as described above). At optional block 616, the organized vehicle data may be exported in response to a user selection (as described above). At block 618, the user interface may be updated in response to the operator's actions. For example, search results may be displayed, vehicle detailed information may be displayed, events/objects may be displayed on a map interface, among other interface updates described above.


In various embodiments, vehicle-related data may be received and processed by the system at any time and/or continuously. In an embodiment, vehicle-related data may be updated even as the user is viewing the data on the user interface. For example, in an embodiment, the user may use the system to analyze substantially real-time vehicle-related data.



FIG. 7 shows a flowchart depicting additional illustrative operations and/or processes of the interactive vehicle information map system, according to embodiments of the present disclosure. In various embodiments, fewer blocks or additional blocks may be included in the process, or various blocks may be performed in an order different from that shown in FIG. 7. In an embodiment, one or more blocks in FIG. 7 may be performed by, or implemented in, one or more computer modules and/or processors, as is described below with reference to FIGS. 8A-8B.


At block 702, the user interface is provided to the user, and at block 704 an input from the user is received as described above in reference to FIG. 6. Examples of inputs received from the user may include, for example, an object selection (706), an object detail request (708), and/or a geosearch (710), among others. Further, the geosearch (710) may include various search criteria provided by the user including a time period (710a), a geographic location or area (710b), license plate information (710c), vehicle information (710d), and/or owner information (710e), among others.


In an embodiment, the user inputs may be provided at client-side devices of the map system, such as computing device(s) 852 of FIG. 8A. At block 716, the user inputs may result in queries (such as search queries) to server-side devices of the map system, such as application server 858 of FIG. 8A. The queries may be in response to any of inputs 706, 708, and/or 710 from the user. In various embodiments, the server-side components then update and re-compose map tiles of the map interface, and provide vehicle-related data, in accordance with the user input, and transmits the updates back to the client-side components. Examples of processes for updating map tiles may be found in the '571 Application.


At block 718, the client-side components receive the updated map tile and vehicle information from the server, and at block 720 the user interface is updated with the received information.


In an embodiment, additional information and/or data, in addition to updated map tiles, may be transmitted to the client-side components from the server-side components. For example, object metadata may be transmitted in response to a user selecting an object.


In an embodiment, one or more blocks in FIG. 7 may be performed by client-side components of the map system, for example, computing device(s) 852.


Advantageously, in various embodiments the interactive vehicle information map system enables a user to efficiently search through large amounts of vehicle-related data from many disparate sources. The user may, for example, specify various search criteria including time frames, geographic areas, license plate numbers, vehicle descriptions, and/or owner descriptions. Further, search results may be organized into particular vehicles. In various embodiments, vehicle-related data may be plotted on an interactive map. Additionally, a user may export search results and/or initiate a search alert.


Implementation Mechanisms



FIG. 8A illustrates a network environment in which the interactive vehicle information map system may operate, according to embodiments of the present disclosure. The network environment 850 may include one or more computing devices 852, a network 856, an application server 858, and one or more data sources 860. The constituents of the network environment 850 may be in communication with each other either locally or over the network 856.


In an embodiment, the computing device(s) 852 may be any computing devices capable of displaying software applications to a user and receiving input from the user. For example, the computing device(s) 852 may include smartphones, tablets, laptops, and/or other types of computing devices. The computing device(s) 852 may also be capable of communicating over the network 856, for example, to request data from, and/or to data to, the application server 858.


In some embodiments, the computing device(s) 852 may include non-transitory computer-readable medium storage for storing vehicle-related data and/or other map application data. For example, computing device(s) 852 may include one or more software modules 864 that may implement aspects of the functionality of the interactive vehicle information map system. The software module(s) 864 may be configured to present the map application to a user and receive interactions from the user. Additional aspects, operations, and/or functionality of computing device(s) 852 are described in further detail in reference to FIG. 8B below.


The network 856 may be any wired network, wireless network, or combination thereof. In addition, the network 856 may be a personal area network, local area network, wide area network, cable network, satellite network, cellular telephone network, or combination thereof. Protocols and components for communicating via the Internet or any of the other aforementioned types of communication networks are well known to those skilled in the art of computer communications and thus, need not be described in more detail herein.


The application server 858 is a computing device, similar to the computing devices described above, that may perform a variety of tasks to implement the operations of the interactive vehicle information map system. The interaction server may include one or more software modules 870 that may be configured to, for example, receive vehicle-related data, process vehicle-related data, generate map tiles, process inputs from the user, and/or update the user interface. Additional aspects, operations, and/or functionality of application server 858 are described in further detail in referenced to FIG. 8B below.


The application server 858 may be in communication with data source(s) 860. The data source(s) 860 may include, for example, law enforcement data sources, DMV data sources, LPR data sources, and/or other public, private, and/or government data sources. One or more of the data source(s) 860 may include electronic storage local to the application server 858. The data source(s) 860 may be embodied in hard disk drives, solid state memories, and/or any other type of non-transitory, computer-readable storage medium remotely or locally accessible to the application server 858. The data source(s) 860 may also be distributed or partitioned across multiple storage devices as is known in the art without departing from the spirit and scope of the present disclosure.


In various embodiments, the system may be accessible by the user through a web-based viewer, such as a web browser. In this embodiment, the user interface may be generated by the application server 858 and transmitted to the web browser of the user. Alternatively, data necessary for generating the user interface may be provided by the application server 858 to the browser, where the user interface may be generated. The user may then interact with the user interface through the web-browser. In an embodiment, the user interface of the interactive vehicle information map system may be accessible through a dedicated software application. In an embodiment, the user interface of the interactive vehicle information map system may be accessible through a mobile computing device, such as a smartphone and/or tablet. In this embodiment, the application server 858 may generate and transmit a user interface to the mobile computing device. Alternatively, the mobile computing device may include modules for generating the user interface, and the application server 858 may provide user interaction data to the mobile computing device. In an embodiment, the application server 858 comprises a mobile computing device.


According to various embodiments, the interactive vehicle information map system and other methods and techniques described herein are implemented by one or more special-purpose computing devices. The special-purpose computing devices may be hard-wired to perform the techniques, or may include digital electronic devices such as one or more application-specific integrated circuits (ASICs) or field programmable gate arrays (FPGAs) that are persistently programmed to perform the techniques, or may include one or more general purpose hardware processors programmed to perform the techniques pursuant to program instructions in firmware, memory, other storage, or a combination. Such special-purpose computing devices may also combine custom hard-wired logic, ASICs, or FPGAs with custom programming to accomplish the techniques. The special-purpose computing devices may be desktop computer systems, server computer systems, portable computer systems, handheld devices, networking devices or any other device or combination of devices that incorporate hard-wired and/or program logic to implement the techniques.


Computing device(s) are generally controlled and coordinated by operating system software, such as iOS, Android, Chrome OS, Windows XP, Windows Vista, Windows 7, Windows 8, Windows Server, Windows CE, Unix, Linux, SunOS, Solaris, iOS, Blackberry OS, VxWorks, or other compatible operating systems. In other embodiments, the computing device may be controlled by a proprietary operating system. Conventional operating systems control and schedule computer processes for execution, perform memory management, provide file system, networking, I/O services, and provide a user interface functionality, such as a graphical user interface (“GUI”), among other things.


For example, FIG. 8B is a block diagram that illustrates a computer system 800 upon which the various systems, devices, and/or methods discussed herein may be implemented. For example, some or all aspects of computing system 800 may be included in any of computing device(s) 852 and/or application server 858. In an embodiment, each of the computing device(s) 852 and application server 858 is comprised of a computing system similar to the computer system 800 of FIG. 8B. Computer system 800 includes a bus 802 or other communication mechanism for communicating information, and a hardware processor, or multiple processors, 804 coupled with bus 802 for processing information. Hardware processor(s) 804 may be, for example, one or more general purpose microprocessors.


Computer system 800 also includes a main memory 806, such as a random access memory (RAM), cache and/or other dynamic storage devices, coupled to bus 802 for storing information and instructions to be executed by processor 804. Main memory 806 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 804. Such instructions, when stored in storage media accessible to processor 804, render computer system 800 into a special-purpose machine that is customized to perform the operations specified in the instructions.


Computer system 800 further includes a read only memory (ROM) 808 or other static storage device coupled to bus 802 for storing static information and instructions for processor 804. A storage device 810, such as a magnetic disk, optical disk, or USB thumb drive (Flash drive), etc., is provided and coupled to bus 802 for storing information and instructions.


Computer system 800 may be coupled via bus 802 to a display 812, such as a cathode ray tube (CRT), LCD display, or touch screen display, for displaying information to a computer user and/or receiving input from the user or operator. An input device 814, including alphanumeric and other keys, is coupled to bus 802 for communicating information and command selections to processor 804. Another type of user input device is cursor control 816, such as a mouse, a trackball, or cursor direction keys for communicating direction information and command selections to processor 804 and for controlling cursor movement on display 812. This input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allows the device to specify positions in a plane. In some embodiments, the same direction information and command selections as cursor control may be implemented via receiving touches on a touch screen without a cursor.


Computing system 800 may include modules configured to generate a user interface, map interface, and/or the various other aspects of the interactive vehicle information map system. These modules may include, for example, software module(s) 864 and/or software module(s) 870 described above, among others. The modules may be stored in a mass storage device as executable software codes that are executed by the computing device(s). This and other modules may include, by way of example, components, such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.


In general, the word “module,” as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, possibly having entry and exit points, written in a programming language, such as, for example, Java, Lua, C or C++. A software module may be compiled and linked into an executable program, installed in a dynamic link library, or may be written in an interpreted programming language such as, for example, BASIC, Perl, or Python. It will be appreciated that software modules may be callable from other modules or from themselves, and/or may be invoked in response to detected events or interrupts. Software modules configured for execution on computing devices may be provided on a computer readable medium, such as a compact disc, digital video disc, flash drive, magnetic disc, or any other tangible medium, or as a digital download (and may be originally stored in a compressed or installable format that requires installation, decompression or decryption prior to execution). Such software code may be stored, partially or fully, on a memory device of the executing computing device, for execution by the computing device. Software instructions may be embedded in firmware, such as an EPROM. It will be further appreciated that hardware modules may be comprised of connected logic units, such as gates and flip-flops, and/or may be comprised of programmable units, such as programmable gate arrays or processors. The modules or computing device functionality described herein are preferably implemented as software modules, but may be represented in hardware or firmware. Generally, the modules described herein refer to logical modules that may be combined with other modules or divided into sub-modules despite their physical organization or storage


Computer system 800 may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and/or program logic which in combination with the computer system causes or programs computer system 800 to be a special-purpose machine. According to one embodiment, the techniques herein are performed by computer system 800 in response to processor(s) 804 executing one or more sequences of one or more modules and/or instructions contained in main memory 806. Such instructions may be read into main memory 806 from another storage medium, such as storage device 810. Execution of the sequences of instructions contained in main memory 806 causes processor(s) 804 to perform the process steps described herein. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions.


The term “non-transitory media,” and similar terms, as used herein refers to any media that store data and/or instructions that cause a machine to operate in a specific fashion. Such non-transitory media may comprise non-volatile media and/or volatile media. Non-volatile media includes, for example, optical or magnetic disks, such as storage device 810. Volatile media includes dynamic memory, such as main memory 806. Common forms of non-transitory media include, for example, a floppy disk, a flexible disk, hard disk, solid state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge, and networked versions of the same.


Non-transitory media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between nontransitory media. For example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 802. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.


Various forms of media may be involved in carrying one or more sequences of one or more instructions to processor 804 for execution. For example, the instructions may initially be carried on a magnetic disk or solid state drive of a remote computer. The remote computer can load the instructions and/or modules into its dynamic memory and send the instructions over a telephone line using a modem. A modem local to computer system 800 can receive the data on the telephone line and use an infra-red transmitter to convert the data to an infra-red signal. An infra-red detector can receive the data carried in the infra-red signal and appropriate circuitry can place the data on bus 802. Bus 802 carries the data to main memory 806, from which processor 804 retrieves and executes the instructions. The instructions received by main memory 806 may optionally be stored on storage device 810 either before or after execution by processor 804.


Computer system 800 also includes a communication interface 818 coupled to bus 802. Communication interface 818 provides a two-way data communication coupling to a network link 820 that may be connected to any other interface and/or network, for example network 856 of FIG. 8A. For example, communication interface 818 may be an integrated services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, communication interface 818 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN (or WAN component to communicate with a WAN). Wireless links may also be implemented. In any such implementation, communication interface 818 sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.


Network link 820 typically provides data communication through one or more networks to other data devices. For example, network link 820 may provide a connection through one or more local or non-local networks to host computers or other data equipment operated by an Internet Service Provider (ISP).


In an embodiment, the network link 820 may provide data communication services through the world wide packet data communication network now commonly referred to as the “Internet.” Communication may be accomplished through the user of, for example, electrical, electromagnetic, and/or optical signals that carry digital data streams. The signals through the various networks and the signals on network link 820 and through communication interface 818, which carry the digital data to and from computer system 800, are example forms of transmission media.


Computer system 800 may send messages and/or receive data, including program code, through the network(s), network link 820 and communication interface 818. In the Internet example, a server or other computer-enabled device or system may transmit a requested code for an application program through one or more networks and/or communication interface 818.


Each of the processes, methods, and algorithms described in the preceding sections may be embodied in, and fully or partially automated by, code modules executed by one or more computer systems or computer processors comprising computer hardware. The processes and algorithms may be implemented partially or wholly in application-specific circuitry.


The various features and processes described above may be used independently of one another, or may be combined in various ways. All possible combinations and subcombinations are intended to fall within the scope of this disclosure. In addition, certain method or process blocks may be omitted in some implementations. The methods and processes described herein are also not limited to any particular sequence, and the blocks or states relating thereto can be performed in other sequences that are appropriate. For example, described blocks or states may be performed in an order other than that specifically disclosed, or multiple blocks or states may be combined in a single block or state. The example blocks or states may be performed in serial, in parallel, or in some other manner. Blocks or states may be added to or removed from the disclosed example embodiments. The example systems and components described herein may be configured differently than described. For example, elements may be added to, removed from, or rearranged compared to the disclosed example embodiments.


Conditional language, such as, among others, “can,” “could,” “might,” or “may,” unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without user input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment.


The term “comprising” as used herein should be given an inclusive rather than exclusive interpretation. For example, a general purpose computer comprising one or more processors should not be interpreted as excluding other computer components, and may possibly include such components as memory, input/output devices, and/or network interfaces, among others.


Any process descriptions, elements, or blocks in the flow diagrams described herein and/or depicted in the attached figures should be understood as potentially representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of the embodiments described herein in which elements or functions may be deleted, executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those skilled in the art.


It should be emphasized that many variations and modifications may be made to the above-described embodiments, the elements of which are to be understood as being among other acceptable examples. All such modifications and variations are intended to be included herein within the scope of this disclosure. The foregoing description details certain embodiments of the invention. It will be appreciated, however, that no matter how detailed the foregoing appears in text, the invention can be practiced in many ways. As is also stated above, it should be noted that the use of particular terminology when describing certain features or aspects of the invention should not be taken to imply that the terminology is being re-defined herein to be restricted to including any specific characteristics of the features or aspects of the invention with which that terminology is associated. The scope of the invention should therefore be construed in accordance with the appended claims and any equivalents thereof.

Claims
  • 1. A computer system configured to access one or more electronic data sources in response to input from a user provided in an interactive user interface in order to determine vehicle-related data items and interactively update the interactive user interface, the computer system comprising: one or more hardware processors configured to cause the computer system to: generate user interface data useable for rendering an interactive user interface, the interactive user interface including an interactive map;transmit the user interface data to an electronic display such that the interactive user interface is displayed on the electronic display;receive an input from a user via the interactive user interface, the input including at least an indication of a geographic area of interest and a partial vehicle description including at least a partial license plate number, the indication of the geographic area of interest provided via a selection on the interactive map;identify, from one or more electronic data sources, a plurality of vehicle-related data items satisfying the partial vehicle description including the partial license plate number, each of the identified vehicle-related data items associated with a full license plate number and at least one license plate image, each of the identified vehicle-related data items obtained within the indicated geographic area of interest;organize the plurality of identified vehicle-related data items into a plurality of groups each corresponding to a unique vehicle, wherein each of at least two of the groups includes a plurality of identified vehicle-related data items associated with a same full license plate number;for each of the one or more groups corresponding to respective unique vehicles, and based on the respective associated vehicle-related data items: select a preferred license plate image of the at least one license plate image associated with the vehicle by at least: selecting, from the at least one license plate image, a first subset of license plate images having been obtained within a preferred time period;further selecting, from the previously selected first subset of license plate images, a second subset of license plate images having been obtained during a preferred time of day; anddesignating, from the previously selected second subset of license plate images, the preferred license plate image, the preferred license plate image of the second subset having been obtained by a preferred type of camera; andidentify, from the one or more electronic data sources, one or more individuals associated with the unique vehicle; andupdate the user interface data such that the interactive user interface includes, for each of the one or more groups corresponding to respective unique vehicles: indications on the interactive map of geographical locations associated with each of the identified vehicle-related data items;indications of the respective unique vehicles and associated preferred license plate image; anda selectable user interface element configured to, in response to a selection input from the user, provide, via the interactive user interface, indications of the one or more identified individuals and information related to the one or more identified individuals.
  • 2. The computer system of claim 1, wherein the one or more hardware processors are further configured to cause the computer system to: receive a second input from the user via the interactive user interface, the second input indicating a selection of one of the indications of the unique vehicles; andin response to the second input: update the user interface data such that the interactive user interface includes an enlarged version of the associated preferred license plate image.
  • 3. The computer system of claim 1, wherein the one or more hardware processors are further configured to cause the computer system to: receive a second input from the user via the interactive user interface, the second input indicating a request to establish a search alert based on the partial vehicle description; andin response to the second input, periodically: identify, from the one or more electronic data sources, one or more new vehicle-related data items that satisfy the partial vehicle description,associate each of the identified new vehicle-related data items with one or more corresponding unique vehicles; andprovide to the user an alert including one or more of the unique vehicles having new vehicle-related data items associated therewith.
  • 4. The computer system of claim 3, wherein the alert is provided to the user via an email to the user.
  • 5. The computer system of claim 3, wherein the provided alert includes only unique vehicles not previously provided in an alert.
  • 6. The computer system of claim 3, wherein the alert includes at least a portion of the associated new vehicle-related data items associated with respective unique vehicles.
  • 7. The computer system of claim 1, wherein the one or more hardware processors are further configured to cause the computer system to: in response to the input including the indication of the geographic area of interest, update the user interface data such that the interactive user interface: highlights a portion of an interactive map representing the indicated geographic area.
  • 8. The computer system of claim 7, wherein the one or more hardware processors are further configured to cause the computer system to: receive a second input from the user via the interactive user interface, the second input including a selection of one of the indications on the interactive map of the vehicle-related data items; andupdate the user interface data such that interactive user interface highlights the unique vehicle associated with the selected one of the indications.
  • 9. The computer system of claim 1, wherein the one or more electronic data sources include at least one of: a vehicle owner information data source, a vehicle license plate data source, a law enforcement data source, a traffic incident data source, a license-plate recognition data source, or a criminal event data source.
  • 10. The computer system of claim 1, wherein the input from the user further includes at least one of: an indication of a time period of interest, or at least part of an identifier of an owner of a vehicle.
  • 11. The computer system of claim 10, wherein identifying one or more vehicle-related data items further includes identifying one or more vehicle-related data items that satisfy the at least one of the indication of the time period of interest, of the at least part of an identifier of an owner of a vehicle.
  • 12. The computer system of claim 1, wherein the one or more hardware processors are further configured to cause the computer system to: receive a second input from the user via the interactive user interface, the second input including a selection of a first unique vehicle from the indications of the unique vehicles; andupdate the user interface data such that the interactive user interface includes, for the first unique vehicle, further information including law enforcement activity related to an individual associated with the first unique vehicle.
  • 13. The computer system of claim 1, wherein the one or more hardware processors are further configured to cause the computer system to: receive a second input from the user via the interactive user interface, the second input indicating a request for a formatted user interface including a listing of at least two of the unique vehicles and details associated with each; andgenerate user interface data useable for rendering an exportable interactive user interface, the exportable interactive user interface including a listing of each of the at least two of the unique vehicles and details associated with each of the at least two of the unique vehicles, wherein the details associated with each of the at least two of the unique vehicles include: the preferred license plate image;the full license plate number;a vehicle description;a listing of the one or more identified individuals; andassociated law enforcement-related data items including at least one of a traffic incident or a criminal incident.
  • 14. A computer-implemented method of accessing one or more electronic data sources in response to input from a user provided in an interactive user interface in order to determine vehicle-related data items and interactively update the interactive user interface, the computer-implements method comprising: under control of a computing system configured with specific computer executable instructions, generating user interface data useable for rendering an interactive user interface, the interactive user interface including an interactive map;transmitting the user interface data to an electronic display such that the interactive user interface is displayed on the electronic display;receiving an input from a user via the interactive user interface, the input including at least an indication of a geographic area of interest and a partial vehicle description including at least a partial license plate number, the indication of the geographic area of interest provided via a selection on the interactive map;identifying, from one or more electronic data sources, a plurality of vehicle-related data items satisfying the partial vehicle description including the partial license plate number, each of the identified vehicle-related data items associated with a full license plate number and at least one license plate image, each of the identified vehicle-related data items obtained within the indicated geographic area of interest;organizing the plurality of identified vehicle-related data items into a plurality of groups each corresponding to a unique vehicle, wherein each of at least two of the groups includes a plurality of identified vehicle-related data items associated with a same full license plate number;for each of the one or more groups corresponding to respective unique vehicles, and based on the respective associated vehicle-related data items: selecting a preferred license plate image of the at least one license plate image associated with the vehicle by at least: selecting, from the at least one license plate image, a first subset of license plate images having been obtained within a preferred time period;further selecting, from the previously selected first subset of license plate images, a second subset of license plate images having been obtained during a preferred time of day; anddesignating, from the previously selected second subset of license plate images, the preferred license plate image, the preferred license plate image of the second subset having been obtained by a preferred type of camera; andidentifying, from the one or more electronic data sources, one or more individuals associated with the unique vehicle; andupdating the user interface data such that the interactive user interface includes, for each of the one or more groups corresponding to respective unique vehicles: indications on the interactive map of geographical locations associated with each of the identified vehicle-related data items;indications of the respective unique vehicles and associated preferred license plate image; anda selectable user interface element configured to, in response to a selection input from the user, provide, via the interactive user interface, indications of the one or more identified individuals and information related to the one or more identified individuals.
  • 15. The computer-implemented method of claim 14, further comprising: under control of the computing system configured with specific computer executable instructions, receiving a second input from the user via the interactive user interface, the second input indicating a selection of one of the indications of the unique vehicles; andin response to the second input: updating the user interface data such that the interactive user interface includes an enlarged version of the associated preferred license plate image.
  • 16. The computer-implemented method of claim 14, further comprising: under control of the computing system configured with specific computer executable instructions, receiving a second input from the user via the interactive user interface, the second input including a selection of a first unique vehicle from the indications of the unique vehicles; andupdating the user interface data such that the interactive user interface includes, for the first unique vehicle, further information including law enforcement activity related to an individual associated with the first unique vehicle.
  • 17. The computer-implemented method of claim 14, further comprising: under control of the computing system configured with specific computer executable instructions, receiving a second input from the user via the interactive user interface, the second input indicating a request for a formatted user interface including a listing of at least two of the unique vehicles and details associated with each; andgenerating user interface data useable for rendering an exportable interactive user interface, the exportable interactive user interface including a listing of each of the at least two of the unique vehicles and details associated with each of the at least two of the unique vehicles, wherein the details associated with each of the at least two of the unique vehicles include: the preferred license plate image;the full license plate number;a vehicle description;a listing of the one or more identified individuals; andassociated law enforcement-related data items including at least one of a traffic incident or a criminal incident.
  • 18. A non-transitory computer readable storage medium storing computer executable instructions configured for execution by one or more hardware processors of a computer system to cause the computer system to: generate user interface data useable for rendering an interactive user interface, the interactive user interface including an interactive map;transmit the user interface data to an electronic display such that the interactive user interface is displayed on the electronic display;receive an input from a user via the interactive user interface, the input including at least an indication of a geographic area of interest and a partial vehicle description including at least a partial license plate number, the indication of the geographic area of interest provided via a selection on the interactive map;identify, from one or more electronic data sources, a plurality of vehicle-related data items satisfying the partial vehicle description including the partial license plate number, each of the identified vehicle-related data items associated with a full license plate number and at least one license plate image, each of the identified vehicle-related data items obtained within the indicated geographic area of interest;organize the plurality of identified vehicle-related data items into a plurality of groups each corresponding to a unique vehicle, wherein each of at least two of the groups includes a plurality of identified vehicle-related data items associated with a same full license plate number;for each of the one or more groups corresponding to respective unique vehicles, and based on the respective associated vehicle-related data items: select a preferred license plate image of the at least one license plate image associated with the vehicle by at least: selecting, from the at least one license plate image, a first subset of license plate images having been obtained within a preferred time period;further selecting, from the previously selected first subset of license plate images, a second subset of license plate images having been obtained during a preferred time of day; anddesignating, from the previously selected second subset of license plate images, the preferred license plate image, the preferred license plate image of the second subset having been obtained by a preferred type of camera; andidentify, from the one or more electronic data sources, one or more individuals associated with the unique vehicle; andupdate the user interface data such that the interactive user interface includes, for each of the one or more groups corresponding to respective unique vehicles: indications on the interactive map of geographical locations associated with each of the identified vehicle-related data items;indications of the respective unique vehicles and associated preferred license plate image; anda selectable user interface element configured to, in response to a selection input from the user, provide, via the interactive user interface, indications of the one or more identified individuals and information related to the one or more identified individuals.
  • 19. The non-transitory computer readable storage medium of claim 18, wherein the computer executable instructions are further configured for execution by the one or more hardware processors of the computer system to cause the computer system to: receive a second input from the user via the interactive user interface, the second input indicating a selection of one of the indications of the unique vehicles; andin response to the second input: update the user interface data such that the interactive user interface includes an enlarged version of the associated preferred license plate image.
  • 20. The non-transitory computer readable storage medium of claim 18, wherein the computer executable instructions are further configured for execution by the one or more hardware processors of the computer system to cause the computer system to: receive a second input from the user via the interactive user interface, the second input indicating a request for a formatted user interface including a listing of at least two of the unique vehicles and details associated with each; andgenerate user interface data useable for rendering an exportable interactive user interface, the exportable interactive user interface including a listing of each of the at least two of the unique vehicles and details associated with each of the at least two of the unique vehicles, wherein the details associated with each of the at least two of the unique vehicles include: the preferred license plate image;the full license plate number;a vehicle description;a listing of the one or more identified individuals; andassociated law enforcement-related data items including at least one of a traffic incident or a criminal incident.
US Referenced Citations (375)
Number Name Date Kind
4899161 Morin et al. Feb 1990 A
4958305 Piazza Sep 1990 A
5109399 Thompson Apr 1992 A
5329108 Lamoure Jul 1994 A
5632009 Rao et al. May 1997 A
5670987 Doi et al. Sep 1997 A
5754182 Kobayashi May 1998 A
5781195 Marvin Jul 1998 A
5781704 Rossmo Jul 1998 A
5845300 Comer Dec 1998 A
6057757 Arrowsmith et al. May 2000 A
6091956 Hollenberg Jul 2000 A
6157747 Szeliski et al. Dec 2000 A
6161098 Wallman Dec 2000 A
6173067 Payton et al. Jan 2001 B1
6219053 Tachibana et al. Apr 2001 B1
6232971 Haynes May 2001 B1
6247019 Davies Jun 2001 B1
6279018 Kudrolli et al. Aug 2001 B1
6341310 Leshem et al. Jan 2002 B1
6369835 Lin Apr 2002 B1
6389289 Voce et al. May 2002 B1
6414683 Gueziec Jul 2002 B1
6456997 Shukla Sep 2002 B1
6483509 Rabenhorst Nov 2002 B1
6529900 Patterson et al. Mar 2003 B1
6549944 Weinberg et al. Apr 2003 B1
6581068 Bensoussan et al. Jun 2003 B1
6594672 Lampson et al. Jul 2003 B1
6631496 Li et al. Oct 2003 B1
6642945 Sharpe Nov 2003 B1
6662103 Skolnick et al. Dec 2003 B1
6714936 Nevin, III Mar 2004 B1
6757445 Knopp Jun 2004 B1
6775675 Nwabueze et al. Aug 2004 B1
6828920 Owen et al. Dec 2004 B2
6839745 Dingari et al. Jan 2005 B1
6877137 Rivette et al. Apr 2005 B1
6976210 Silva et al. Dec 2005 B1
6985950 Hanson et al. Jan 2006 B1
7036085 Barros Apr 2006 B2
7043702 Chi et al. May 2006 B2
7055110 Kupka May 2006 B2
7139800 Bellotti et al. Nov 2006 B2
7158878 Rasmussen et al. Jan 2007 B2
7162475 Ackerman Jan 2007 B2
7168039 Bertram Jan 2007 B2
7171427 Witkowski et al. Jan 2007 B2
7269786 Malloy et al. Sep 2007 B1
7278105 Kitts Oct 2007 B1
7290698 Poslinski et al. Nov 2007 B2
7333998 Heckerman et al. Feb 2008 B2
7370047 Gorman May 2008 B2
7375732 Arcas May 2008 B2
7379811 Rasmussen et al. May 2008 B2
7379903 Caballero et al. May 2008 B2
7426654 Adams et al. Sep 2008 B2
7454466 Bellotti et al. Nov 2008 B2
7457706 Melero et al. Nov 2008 B2
7467375 Tondreau et al. Dec 2008 B2
7502786 Liu et al. Mar 2009 B2
7519470 Brasche et al. Apr 2009 B2
7525422 Bishop et al. Apr 2009 B2
7529195 Gorman May 2009 B2
7529727 Arning et al. May 2009 B2
7539666 Ashworth et al. May 2009 B2
7546245 Surpin Jun 2009 B2
7558677 Jones Jul 2009 B2
7574428 Leiserowitz et al. Aug 2009 B2
7579965 Bucholz Aug 2009 B2
7617232 Gabbert et al. Nov 2009 B2
7620628 Kapur et al. Nov 2009 B2
7627812 Chamberlain et al. Dec 2009 B2
7634717 Chamberlain et al. Dec 2009 B2
7640173 Surpin et al. Dec 2009 B2
7663621 Allen et al. Feb 2010 B1
7703021 Flam Apr 2010 B1
7712049 Williams et al. May 2010 B2
7716067 Surpin et al. May 2010 B2
7716077 Mikurak May 2010 B1
7725547 Albertson et al. May 2010 B2
7770100 Chamberlain et al. Aug 2010 B2
7791616 Ioup et al. Sep 2010 B2
7805457 Viola et al. Sep 2010 B1
7809703 Balabhadrapatruni et al. Oct 2010 B2
7818658 Chen Oct 2010 B2
7872647 Mayer et al. Jan 2011 B2
7894984 Rasmussen et al. Feb 2011 B2
7899611 Downs et al. Mar 2011 B2
7917376 Bellin et al. Mar 2011 B2
7920963 Jouline et al. Apr 2011 B2
7933862 Chamberlain et al. Apr 2011 B2
7945852 Pilskalns May 2011 B1
7962281 Rasmussen et al. Jun 2011 B2
7962848 Bertram Jun 2011 B2
7970240 Chao et al. Jun 2011 B1
8001465 Kudrolli et al. Aug 2011 B2
8001482 Bhattiprolu et al. Aug 2011 B2
8010545 Stefik et al. Aug 2011 B2
8010886 Gusmorino et al. Aug 2011 B2
8015487 Roy et al. Sep 2011 B2
8019709 Norton et al. Sep 2011 B2
8024778 Cash et al. Sep 2011 B2
8036632 Cona et al. Oct 2011 B1
8065080 Koch Nov 2011 B2
8082172 Chao et al. Dec 2011 B2
8085268 Carrino et al. Dec 2011 B2
8103543 Zwicky Jan 2012 B1
8134457 Velipasalar et al. Mar 2012 B2
8145703 Frishert et al. Mar 2012 B2
8214361 Sandler et al. Jul 2012 B1
8214764 Gemmell et al. Jul 2012 B2
8225201 Michael Jul 2012 B2
8229947 Fujinaga Jul 2012 B2
8230333 Decherd et al. Jul 2012 B2
8280880 Aymeloglu et al. Oct 2012 B1
8290942 Jones et al. Oct 2012 B2
8301464 Cave et al. Oct 2012 B1
8312367 Foster Nov 2012 B2
8325178 Doyle, Jr. Dec 2012 B1
8352881 Champion et al. Jan 2013 B2
8368695 Howell et al. Feb 2013 B2
8397171 Klassen et al. Mar 2013 B2
8400448 Doyle, Jr. Mar 2013 B1
8411046 Kruzeniski et al. Apr 2013 B2
8412707 Mianji Apr 2013 B1
8422825 Neophytou et al. Apr 2013 B1
8447722 Ahuja et al. May 2013 B1
8452790 Mianji May 2013 B1
8463036 Ramesh et al. Jun 2013 B1
8489331 Kopf et al. Jul 2013 B2
8489641 Seefeld et al. Jul 2013 B1
8498984 Hwang et al. Jul 2013 B1
8508533 Cervelli et al. Aug 2013 B2
8514082 Cova et al. Aug 2013 B2
8514229 Cervelli et al. Aug 2013 B2
8515207 Chau Aug 2013 B2
8554579 Tribble et al. Oct 2013 B2
8564596 Carrino et al. Oct 2013 B2
8577911 Stepinski et al. Nov 2013 B1
8589273 Creeden et al. Nov 2013 B2
8620641 Farnsworth et al. Dec 2013 B2
8676597 Buehler et al. Mar 2014 B2
8689108 Duffield et al. Apr 2014 B1
8707185 Robinson et al. Apr 2014 B2
8713467 Goldenberg et al. Apr 2014 B1
8739278 Varghese May 2014 B2
8742934 Sarpy et al. Jun 2014 B1
8745516 Mason et al. Jun 2014 B2
8756224 Dassa et al. Jun 2014 B2
8781169 Jackson et al. Jul 2014 B2
8799799 Cervelli et al. Aug 2014 B1
8799812 Parker Aug 2014 B2
8812960 Sun et al. Aug 2014 B1
8830322 Nerayoff et al. Sep 2014 B2
8832594 Thompson et al. Sep 2014 B1
8868486 Tamayo Oct 2014 B2
20010021936 Bertram Sep 2001 A1
20020003539 Abe Jan 2002 A1
20020033848 Sciammarella et al. Mar 2002 A1
20020091707 Keller Jul 2002 A1
20020095658 Shulman Jul 2002 A1
20020116120 Ruiz et al. Aug 2002 A1
20020130867 Yang et al. Sep 2002 A1
20020130907 Chi et al. Sep 2002 A1
20020174201 Ramer et al. Nov 2002 A1
20030039948 Donahue Feb 2003 A1
20030052896 Higgins et al. Mar 2003 A1
20030103049 Kindratenko et al. Jun 2003 A1
20030144868 MacIntyre et al. Jul 2003 A1
20030163352 Surpin et al. Aug 2003 A1
20030200217 Ackerman Oct 2003 A1
20030225755 Iwayama et al. Dec 2003 A1
20040030492 Fox et al. Feb 2004 A1
20040039498 Ollis et al. Feb 2004 A1
20040064256 Barinek et al. Apr 2004 A1
20040085318 Hassler et al. May 2004 A1
20040095349 Bito et al. May 2004 A1
20040098236 Mayer et al. May 2004 A1
20040143602 Ruiz et al. Jul 2004 A1
20040181554 Heckerman et al. Sep 2004 A1
20040260702 Cragun et al. Dec 2004 A1
20050027705 Sadri et al. Feb 2005 A1
20050028094 Allyn Feb 2005 A1
20050031197 Knopp Feb 2005 A1
20050034062 Bufkin et al. Feb 2005 A1
20050080769 Gemmell et al. Apr 2005 A1
20050086207 Heuer et al. Apr 2005 A1
20050125715 Franco et al. Jun 2005 A1
20050162523 Darrell et al. Jul 2005 A1
20050180330 Shapiro Aug 2005 A1
20050182502 Iyengar Aug 2005 A1
20050182793 Keenan et al. Aug 2005 A1
20050183005 Denoue et al. Aug 2005 A1
20050246327 Yeung et al. Nov 2005 A1
20050251786 Citron et al. Nov 2005 A1
20050267652 Allstadt et al. Dec 2005 A1
20060026120 Carolan et al. Feb 2006 A1
20060026170 Kreitler et al. Feb 2006 A1
20060045470 Poslinski et al. Mar 2006 A1
20060059139 Robinson Mar 2006 A1
20060074866 Chamberlain et al. Apr 2006 A1
20060080619 Carlson et al. Apr 2006 A1
20060129746 Porter Jun 2006 A1
20060139375 Rasmussen et al. Jun 2006 A1
20060146050 Yamauchi Jul 2006 A1
20060149596 Surpin et al. Jul 2006 A1
20060203337 White Sep 2006 A1
20060241974 Chao et al. Oct 2006 A1
20060251307 Florin et al. Nov 2006 A1
20060271277 Hu et al. Nov 2006 A1
20060279630 Aggarwal et al. Dec 2006 A1
20070011150 Frank Jan 2007 A1
20070016363 Huang et al. Jan 2007 A1
20070024620 Muller-Fischer et al. Feb 2007 A1
20070038962 Fuchs et al. Feb 2007 A1
20070057966 Ohno et al. Mar 2007 A1
20070078832 Ott et al. Apr 2007 A1
20070188516 Loup et al. Aug 2007 A1
20070192265 Chopin et al. Aug 2007 A1
20070208497 Downs et al. Sep 2007 A1
20070208498 Barker et al. Sep 2007 A1
20070258642 Thota Nov 2007 A1
20070266336 Nojima et al. Nov 2007 A1
20070294643 Kyle Dec 2007 A1
20080010605 Frank Jan 2008 A1
20080040684 Crump Feb 2008 A1
20080051989 Welsh Feb 2008 A1
20080052142 Bailey et al. Feb 2008 A1
20080077597 Butler Mar 2008 A1
20080077642 Carbone et al. Mar 2008 A1
20080082578 Hogue et al. Apr 2008 A1
20080098085 Krane et al. Apr 2008 A1
20080104019 Nath May 2008 A1
20080126951 Sood et al. May 2008 A1
20080162616 Gross et al. Jul 2008 A1
20080163073 Becker et al. Jul 2008 A1
20080192053 Howell et al. Aug 2008 A1
20080195417 Surpin et al. Aug 2008 A1
20080195608 Clover Aug 2008 A1
20080222295 Robinson et al. Sep 2008 A1
20080223834 Griffiths et al. Sep 2008 A1
20080255973 El Wade et al. Oct 2008 A1
20080263468 Cappione et al. Oct 2008 A1
20080267107 Rosenberg Oct 2008 A1
20080270468 Mao Oct 2008 A1
20080278311 Grange et al. Nov 2008 A1
20080288306 MacIntyre et al. Nov 2008 A1
20080294678 Gorman et al. Nov 2008 A1
20080301643 Appleton et al. Dec 2008 A1
20090002492 Velipasalar et al. Jan 2009 A1
20090027418 Maru et al. Jan 2009 A1
20090030915 Winter et al. Jan 2009 A1
20090076845 Bellin et al. Mar 2009 A1
20090088964 Schaaf et al. Apr 2009 A1
20090100018 Roberts Apr 2009 A1
20090115786 Shimasaki et al. May 2009 A1
20090119309 Gibson et al. May 2009 A1
20090125369 Kloostra et al. May 2009 A1
20090132921 Hwangbo et al. May 2009 A1
20090132953 Reed et al. May 2009 A1
20090144262 White et al. Jun 2009 A1
20090158185 Lacevic et al. Jun 2009 A1
20090164934 Bhattiprolu et al. Jun 2009 A1
20090171939 Athsani et al. Jul 2009 A1
20090172511 Decherd et al. Jul 2009 A1
20090179892 Tsuda et al. Jul 2009 A1
20090222400 Kupershmidt et al. Sep 2009 A1
20090222760 Halverson et al. Sep 2009 A1
20090234720 George et al. Sep 2009 A1
20090249244 Robinson et al. Oct 2009 A1
20090281839 Lynn et al. Nov 2009 A1
20090287470 Farnsworth et al. Nov 2009 A1
20090292626 Oxford Nov 2009 A1
20100011282 Dollard et al. Jan 2010 A1
20100042922 Bradateanu et al. Feb 2010 A1
20100057716 Stefik et al. Mar 2010 A1
20100070523 Delgo et al. Mar 2010 A1
20100070842 Aymeloglu et al. Mar 2010 A1
20100070897 Aymeloglu et al. Mar 2010 A1
20100076968 Boyns et al. Mar 2010 A1
20100106420 Mattikalli et al. Apr 2010 A1
20100122152 Chamberlain et al. May 2010 A1
20100131457 Heimendinger May 2010 A1
20100162176 Dunton Jun 2010 A1
20100191563 Schlaifer et al. Jul 2010 A1
20100198684 Eraker et al. Aug 2010 A1
20100199225 Coleman et al. Aug 2010 A1
20100250412 Wagner Sep 2010 A1
20100280857 Liu et al. Nov 2010 A1
20100293174 Bennett et al. Nov 2010 A1
20100306713 Geisner et al. Dec 2010 A1
20100321399 Ellren et al. Dec 2010 A1
20100325581 Finkelstein et al. Dec 2010 A1
20110047159 Baid et al. Feb 2011 A1
20110060753 Shaked et al. Mar 2011 A1
20110061013 Bilicki et al. Mar 2011 A1
20110074811 Hanson et al. Mar 2011 A1
20110078173 Seligmann et al. Mar 2011 A1
20110117878 Barash et al. May 2011 A1
20110119100 Ruhl et al. May 2011 A1
20110137766 Rasmussen et al. Jun 2011 A1
20110153384 Horne et al. Jun 2011 A1
20110167105 Ramakrishnan et al. Jul 2011 A1
20110170799 Carrino et al. Jul 2011 A1
20110208724 Jones et al. Aug 2011 A1
20110218934 Elser Sep 2011 A1
20110225198 Edwards et al. Sep 2011 A1
20110291851 Whisenant Dec 2011 A1
20110310005 Chen et al. Dec 2011 A1
20120019559 Siler et al. Jan 2012 A1
20120036434 Oberstein Feb 2012 A1
20120066296 Appleton et al. Mar 2012 A1
20120079363 Folting et al. Mar 2012 A1
20120106801 Jackson May 2012 A1
20120131512 Takeuchi et al. May 2012 A1
20120144335 Abeln et al. Jun 2012 A1
20120159307 Chung et al. Jun 2012 A1
20120173985 Peppel Jul 2012 A1
20120196557 Reich et al. Aug 2012 A1
20120196558 Reich et al. Aug 2012 A1
20120206469 Hulubei et al. Aug 2012 A1
20120208636 Feige Aug 2012 A1
20120221511 Gibson et al. Aug 2012 A1
20120221553 Wittmer et al. Aug 2012 A1
20120221580 Barney Aug 2012 A1
20120246148 Dror Sep 2012 A1
20120290879 Shibuya et al. Nov 2012 A1
20120323888 Osann, Jr. Dec 2012 A1
20120330973 Ghuneim et al. Dec 2012 A1
20130006725 Simanek et al. Jan 2013 A1
20130021445 Cossette-Pacheco et al. Jan 2013 A1
20130046842 Muntz et al. Feb 2013 A1
20130060786 Serrano et al. Mar 2013 A1
20130061169 Pearcy et al. Mar 2013 A1
20130073377 Heath Mar 2013 A1
20130076732 Cervelli et al. Mar 2013 A1
20130078943 Biage et al. Mar 2013 A1
20130097482 Marantz et al. Apr 2013 A1
20130100134 Cervelli et al. Apr 2013 A1
20130101159 Chao et al. Apr 2013 A1
20130111320 Campbell et al. May 2013 A1
20130117651 Waldman et al. May 2013 A1
20130150004 Rosen Jun 2013 A1
20130176321 Mitchell et al. Jul 2013 A1
20130179420 Park et al. Jul 2013 A1
20130224696 Wolfe et al. Aug 2013 A1
20130238616 Rose et al. Sep 2013 A1
20130246170 Gross et al. Sep 2013 A1
20130262527 Hunter et al. Oct 2013 A1
20130268520 Fisher et al. Oct 2013 A1
20130279757 Kephart Oct 2013 A1
20130282696 John et al. Oct 2013 A1
20130290011 Lynn et al. Oct 2013 A1
20130290825 Arndt et al. Oct 2013 A1
20130297619 Chandrasekaran et al. Nov 2013 A1
20140019936 Cohanoff Jan 2014 A1
20140032506 Hoey et al. Jan 2014 A1
20140033010 Richardt et al. Jan 2014 A1
20140040371 Gurevich et al. Feb 2014 A1
20140047357 Alfaro et al. Feb 2014 A1
20140059038 McPherson et al. Feb 2014 A1
20140068487 Steiger et al. Mar 2014 A1
20140095509 Patton Apr 2014 A1
20140108380 Gotz et al. Apr 2014 A1
20140108985 Scott et al. Apr 2014 A1
20140157172 Peery et al. Jun 2014 A1
20140164502 Khodorenko et al. Jun 2014 A1
20140189536 Lange et al. Jul 2014 A1
20140195515 Baker et al. Jul 2014 A1
20140267294 Ma Sep 2014 A1
20140267295 Sharma Sep 2014 A1
20140279824 Tamayo Sep 2014 A1
20140333651 Cervelli et al. Nov 2014 A1
20140337772 Cervelli et al. Nov 2014 A1
Foreign Referenced Citations (16)
Number Date Country
0 763 201 Mar 1997 EP
1 672 527 Jun 2006 EP
2 551 799 Jan 2013 EP
2 575 107 Apr 2013 EP
2 778 983 Sep 2014 EP
2 779 082 Sep 2014 EP
WO 9532424 Nov 1995 WO
WO 0009529 Feb 2000 WO
WO 2004057268 Jul 2004 WO
WO 2005013200 Feb 2005 WO
WO 2005104736 Nov 2005 WO
WO 2009061501 May 2009 WO
WO 2009123975 Oct 2009 WO
WO 2010000014 Jan 2010 WO
WO 2010030913 Mar 2010 WO
WO 2011058507 May 2011 WO
Non-Patent Literature Citations (88)
Entry
“A First Look: Predicting Market Demand for Food Retail using a Huff Analysis,” TRF Policy Solutions, Jul. 2012, pp. 30.
Acklen, Laura, “Absolute Beginner's Guide to Microsoft Word 2003,” Dec. 24, 2003, pp. 15-18, 34-41, 308-316.
Ananiev et al., “The New Modality API,” http://web.archive.org/web/20061211011958/http://java.sun.com/developer/technicalArticles/J2SE/Desktop/javase6/modality/, Jan. 2006, pp. 8.
“Andy Turner's GISRUK 2012 Notes” https://docs.google.com/document/d/1cTmxg7mVx5gd89lqblCYvCEnHA4QAivH4I4WpyPsqE4/edit?pli=1 printed Sep. 16, 2013 in 15 pages.
Barnes et al., “Viewshed Analysis”, GIS-ARC/Info 2001, www.evsc.virginia.edu/˜jhp7e/evsc466/student—pres/Rounds.pdf.
Bugzilla@Mozilla, “Bug 18726—[feature] Long-click means of invoking contextual menus not supported,” http://bugzilla.mozilla.org/show—bug.cgi?id=18726 printed Jun. 13, 2013 in 11 pages.
Carver et al., “Real-Time Visibility Analysis and Rapid Viewshed Calculation Using a Voxel-Based Modelling Approach,” GISRUK 2012 Conference, Apr. 11-13, Lancaster UK, Apr. 13, 2012, pp. 6.
Chen et al., “Bringing Order to the Web: Automatically Categorizing Search Results,” CHI 2000, Proceedings of the SIGCHI conference on Human Factors in Computing Systems, Apr. 1-6, 2000, The Hague, The Netherlands, pp. 145-152.
Dramowicz, Ela, “Retail Trade Area Analysis Using the Huff Model,” Directions Magazine, Jul. 2, 2005 in 10 pages, http://www.directionsmag.com/articles/retail-trade-area-analysis-using-the-huff-model/123411.
Ghosh, P., “A Solution of Polygon Containment, Spatial Planning, and Other Related Problems Using Minkowski Operations,” Computer Vision, Graphics, and Image Processing, 1990, vol. 49, pp. 1-35.
GIS-Net 3 Public—Department of Regional Planning. Planning & Zoning Information for Unincorporated LA County. Retrieved Oct. 2, 2013 from http://gis.planning.lacounty.gov/GIS-NET3—Public/Viewer.html.
Griffith, Daniel A., “A Generalized Huff Model,” Geographical Analysis, Apr. 1982, vol. 14, No. 2, pp. 135-144.
Haralick et al., “Image Analysis Using Mathematical Morphology,” Pattern Analysis and Machine Intelligence, IEEE Transactions, Jul. 1987, vol. PAMI-9, No. 4, pp. 532-550.
Hibbert et al., “Prediction of Shopping Behavior Using a Huff Model Within a GIS Framework,” Healthy Eating in Context Mar. 18, 2011, pp. 16.
Huff et al., “Calibrating the Huff Model Using ArcGIS Business Analyst,” ESRI, Sep. 2008, pp. 33.
Huff, David L., “Parameter Estimation in the Huff Model,” ESRI, ArcUser, Oct.-Dec. 2003, pp. 34-36.
Ipbucker, C., “Inverse Transformation for Several Pseudo-cylindrical Map Projections Using Jacobian Matrix,” ICCSA 2009, Part 1 LNCS 5592, pp. 553-564.
Keylines.com, “An Introduction to KeyLines and Network Visualization,” Mar. 2014, http://keylines.com/wp-content/uploads/2014/03/KeyLines-White-Paper.pdf downloaded May 12, 2014 in 8 pages.
Keylines.com, “Visualizing Threats: Improved Cyber Security Through Network Visualization,” Apr. 2014, http://keylines.com/wp-content/uploads/2014/04/Visualizing-Threats1.pdf downloaded May 12, 2014 in 10 pages.
Keylines.com, “KeyLines Datasheet,” Mar. 2014, http://keylines.com/wp-content/uploads/2014/03/KeyLines-datasheet.pdf downloaded May 12, 2014 in 2 pages.
Levine, N., “Crime Mapping and the Crimestat Program,” Geographical Analysis, 2006, vol. 38, pp. 41-56.
Liu, Tianshun, “Combining GIS and the Huff Model to Analyze Suitable Locations for a New Asian Supermarket in the Minneapolis and St. Paul, Minnesota USA,” Papers in Resource Analysis, 2012, vol. 14, pp. 8.
Mandagere, Nagapramod, “Buffer Operations in GIS,” http://www-users.cs.unm.edu/˜npramod/enc—pdf.pdf retrieved Jan. 28, 2010, pp. 7.
Manske, “File Saving Dialogs,” http://www.mozilla.org/editor/ui—specs/FileSaveDialogs.html, Jan. 20, 1999, pp. 7.
Map Builder, “Rapid Mashup Development Tool for Google and Yahoo Maps!” http://web.archive.org/web/20090626224734/http://www.mapbuilder.net/ printed Jul. 20, 2012 in 2 pages.
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.google.com.
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.bing.com.
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.yahoo.com.
Microsoft—Developer Network, “Getting Started with VBA in Word 2010,” Apr. 2010, http://msdn.microsoft.com/en-us/library/ff604039%28v=office.14%29.aspx as printed Apr. 4, 2014 in 17 pages.
Murray, C., Oracle Spatial Developer's Guide—6 Coordinate Systems (Spatial Reference Systems), http://docs.oracle.com/cd/B28359—01/appdev.111/b28400.pdf, Jun. 2009.
Microsoft Office—Visio, “About connecting shapes,” http://office.microsoft.com/en-us/visio-help/about-connecting-shapes-HP085050369.aspx printed Aug. 4, 2011 in 6 pages.
Microsoft Office—Visio, “Add and glue connectors with the Connector tool,” http://office.microsoft.com/en-us/visio-help/add-and-glue-connectors-with-the-connector-tool-HA010048532.aspx?CTT=1 printed Aug. 4, 2011 in 1 page.
Open Street Map, “Amm's Diary:Unconnected ways and other data quality issues,” http://www.openstreetmap.org/user/amm/diary printed Jul. 23, 2012 in 3 pages.
POI Editor, “How To: Create Your Own Points of Interest,” http://www.poieditor.com/articles/how—to—create—your—own—points—of—interest/ printed Jul. 22, 2012 in 4 pages.
Pozzi et al., “Vegetation and Population Density in Urban and Suburban Areas in the U.S.A.” Third International Symposium of Remote Sensing of Urban Areas Istanbul, Turkey, Jun. 2002, pp. 8.
Qiu, Fang, “3d Analysis and Surface Modeling”, http://web.archive.org/web/20091202221925/http://www.utsa.edu/lrsg/Teaching/EES6513/08-3D.pdf printed Sep. 16, 2013 in 26 pages.
Reddy et al., “Under the hood of GeoVRML 1.0,” SRI International, Proceedings of the fifth symposium on Vurtual Reality Modeling Language (Web3D-VRML), New York, NY, Feb. 2000, pp. 23-28. http://pdf.aminer.org/000/648/038/under—the—hood—of—geovrml.pdf.
Reibel et al., “Areal Interpolation of Population Counts Using Pre-classified Land Cover Data,” Population Research and Policy Review, 2007, vol. 26, pp. 619-633.
Reibel, M., “Geographic Information Systems and Spatial Data Processing in Demography: a Review,” Population Research and Policy Review, 2007, vol. 26, pp. 601-618.
Rizzardi et al., “Interfacing U.S. Census Map Files with Statistical Graphics Software: Application and Use in Epidemiology,” Statistics in Medicine, Oct. 1993, vol. 12, No. 19-20, pp. 1953-1964.
Snyder, “Map Projections—A Working Manual,” U.S. Geological Survey Professional paper 1395, United States Government Printing Office, Washington: 1987, pp. 11-21 and 60-70.
Sonris, “Using the Area of Interest Tools,” http://web.archive.org/web/20061001053327/http://sonris-www.dnr.state.la.us/gis/instruct—files/tutslide12, Printed Jan. 3, 2013 in 1 page.
Tangelder et al., “Freeform Shape Matching Using Minkowski Operations,” The Netherlands, Jun. 1996, pp. 12.
VB Forums, “Buffer A Polygon,” Internet Citation, http://www.vbforums.com/showthread.php?198436-Buffer-a-Polygon, Specifically Thread #1, #5 & #11 retrieved on May 2, 2013, pp. 8.
Vivid Solutions, “JTS Topology Suite: Technical Specifications,” http://www.vividsolutions.com/jts/bin/JTS%20Technical%20Specs.pdf Version 1.4, 2003, pp. 36.
Wikipedia, “Ramer-Douglas-Peucker Algorithm,” http://en.wikipedia.org/wiki/Ramer%E2%80%93Douglas%E2%80%93Peucker—algorithm printed Jul. 2011, pp. 3.
Wikipedia, “Douglas-Peucker-Algorithms,” http://de.wikipedia.org/w/index.php?title=Douglas-Peucker-Algorithmus&oldid=91846042 printed Jul. 2011, pp. 2.
Woodbridge, Stephen, “[geos-devel] Polygon simplification,” http://lists.osgeo.org/pipermail/geos-devel/2011-May/005210.html dated May 8, 2011.
Official Communication in Australian Application No. AU2010227081, dated Mar. 18, 2011.
Official Communication in Australian Application No. AU2010257305, dated Apr. 12, 2011.
Official Communication in Australian Application No. AU2010257305, dated Sep. 22, 2011.
European Search Report in European Application No. EP10195798.3, dated May 17, 2011.
European Search Report in European Application No. EP12186236.1, dated May 17, 2013.
Official Communication in New Zealand Application No. 616167 dated Oct. 10, 2013.
Current Claims in New Zealand Application No. 616167 dated Oct. 2013 in 3 pages.
“A Quick Guide to UniProtKB Swiss-Prot & TrEMBL,” Sep. 2011, pp. 2.
Bluttman et al., “Excel Formulas and Functions for Dummies,” 2005, Wiley Publishing, Inc., pp. 280, 284-286.
Canese et al., “Chapter 2: PubMed: The Bibliographic Database,” The NCBI Handbook, Oct. 2002, pp. 1-10.
Conner, Nancy, “Google Apps: The Missing Manual,” Sharing and Collaborating on Documents, May 1, 2008, pp. 93-97, 106-113 & 120-121.
Delcher et al., “Identifying Bacterial Genes and Endosymbiont DNA with Glimmer,” Biolnformatics, vol. 23, No. 6, 2007, pp. 673-679.
Goswami, Gautam, “Quite ‘Writely’ Said!” One Brick at a Time, Aug. 21, 2005, pp. 7.
Hansen et al., “Analyzing Social Media Networks with NodeXL: Insights from a Connected World”, Elsevier Science, Sep. 2010, Ch. 4 & 10, pp. 53-67 & 143-164.
Kahan et al., “Annotea: An Open RDF Infrastructure for Shared WEB Annotations”, Computer Networks, 2002, vol. 39, pp. 589-608.
Kitts, Paul, “Chapter 14: Genome Assembly and Annotation Process,” The NCBI Handbook, Oct. 2002, pp. 1-21.
Madden, Tom, “Chapter 16: The BLAST Sequence Analysis Tool,” The NCBI Handbook, Oct. 2002, pp. 1-15.
Manno et al., “Introducing Collaboration in Single-user Applications through the Centralized Control Architecture,” 2010, pp. 10.
Mizrachi, Ilene, “Chapter 1: GenBank: The Nuckeotide Sequence Database,” The NCBI Handbook, Oct. 2002, pp. 1-14.
Rouse, Margaret, “OLAP Cube,” http://searchdatamanagement.techtarget.com/definition/OLAP-cube, Apr. 28, 2012, pp. 16.
Sigrist, et al., “Prosite, A Protein Domain Database for Functional Characterization and Annotation,” Nucleic Acids Research, 2010, vol. 38, pp. D161-D166.
Sirotkin et al., “Chapter 13: The Processing of Biological Sequence Data at NCBI,” The NCBI Handbook, Oct. 2002, pp. 1-11.
“The FASTA Program Package,” fasta-36.3.4, Mar. 25, 2011, pp. 29.
International Search Report and Written Opinion in Application No. PCT/US2009/056703, dated Mar. 15, 2010.
Official Communication in Great Britain Application No. 1319225.7 dated May 2, 2014.
Official Communication in European Application No. EP 08839003.4 dated Aug. 14, 2012.
Official Communication in European Application No. EP 08839003.4 dated Jun. 12, 2013.
Official Communication in European Application No. EP 14158861.6 dated Jun. 16, 2014.
Official Communication in New Zealand Application No. 622517 dated Apr. 3, 2014.
Official Communication in New Zealand Application No. 624557 dated May 14, 2014.
Official Communication in New Zealand Application No. 628585 dated Aug. 26, 2014.
Official Communication in New Zealand Application No. 628263 dated Aug. 12, 2014.
Official Communication in Great Britain Application No. 1404457.2 dated Aug. 14, 2014.
Official Communication in New Zealand Application No. 627962 dated Aug. 5, 2014.
Official Communication in New Zealand Application No. 622513 dated Apr. 3, 2014.
Official Communication in British Application No. GB1408025.3 dated Nov. 6, 2014.
Official Communication in New Zealand Application No. 628495 dated Aug. 19, 2014.
Official Communication in New Zealand Application No. 628161 dated Aug. 25, 2014.
Official Communication in New Zealand Application No. 628840 dated Aug. 28, 2014.
Palmas, et al., “An Edge-Bundling Layout for Interactive Parallel Coordinates,” Proceedings of the 2014 IEEE Pacific Visualization Symposium, Mar. 2014, pp. 57-64.
Provisional Applications (1)
Number Date Country
61899661 Nov 2013 US