Systems and methods of legibly capturing vehicle markings

Information

  • Patent Grant
  • 10521675
  • Patent Number
    10,521,675
  • Date Filed
    Monday, September 19, 2016
    7 years ago
  • Date Issued
    Tuesday, December 31, 2019
    4 years ago
Abstract
A system and method for legible capture of vehicle identification data includes video cameras and a computer. Recording attributes such as gain, gain shutter speed, and white balance are adjusted throughout ranges to maximize the likelihood of capturing at least one frame in which characters, such as those on the license plate, are legible. Successful capture of a legible frame may trigger storage of the data, while unsuccessful capture may trigger additional scans.
Description
BACKGROUND
1. Field

Embodiments of the invention are broadly directed to legible video capture of license plate data. More specifically, embodiments of the invention record video of a scene using systems and methods that increase the likelihood of capturing at least one frame in which a license plate or other identifiable vehicle marking is legible.


2. Related Art

Mobile recording systems, such as car-mounted cameras, serve many purposes for law enforcement officers and other first responders, such as documentation of events, collection of evidence, and improvement of training. One important function of recording systems used by law enforcement is the capture of license plate data. Capturing license plate data or other markings of a vehicle, suspect, victim, bystander, fellow officer, or a scene's surroundings may be key in proving guilt or innocence or locating parties of interest. Of course, to be of use in such matters, written characters (e.g., numbers, letters, punctuation, logos, hazardous waste symbols, symbols) captured in recorded images, such as a license plate, must be legible. In many situations, legible video capture of license plate data and other vehicle markings or scene surroundings is made difficult by factors such as high motion, darkness, and/or interference from sources such as light, smoke, or fog.


Typical systems and methods for license plate recognition attempt to improve legibility of license plates through improved illumination of the scene. Improving illumination requires bright lights that may be costly, distracting, power consumptive, ineffective, and/or logistically difficult to implement quickly. Other systems perform advanced processing to improve captured images but may be expensive, slow, and require very high processor dedication. What is needed is an improved system and method for video capture of legible license plate data and other vehicle markings or scene surroundings that does not require additional or enhanced illumination of a scene.


SUMMARY

Embodiments of the invention provide systems and methods for legibly capturing license plate data using a video camera. A first embodiment of the invention is directed to a method of scanning for a legible marking on a vehicle using a video camera with two or more recording attributes. Upon acquiring an indication to begin a scan with a video camera, a first recording attribute is adjusted within a first scan range, between a first lower limit and a first upper limit. Thereafter, a second recording attribute is adjusted within a second scan range, between a second lower limit and a second upper limit. A portion of the scan that includes a legible marking on a vehicle is stored in a memory associated with the video camera or otherwise accessible by the video camera.


A second embodiment of the invention is directed to an image capture system including a video camera with at least a first recording attribute and a second recording attribute, a storage device, and a processor. The processor is configured to adjust a first recording attribute within a first scan range between a first lower limit and a first upper limit, adjust a second recording attribute within a second scan range, between a second lower limit and a second upper limit, and store in memory a portion of the scan that includes a legible marking on a vehicle.


A third embodiment of the invention is directed to a method of scanning for a legible marking on a vehicle using a video camera with two or more recording attributes. Upon acquiring an indication to begin a scan with a video camera, a first recording attribute is adjusted within a first scan range, between a first lower limit and a first upper limit. Next, a second recording attribute is adjusted within a second scan range, between a second lower limit and a second upper limit. Thereafter, a determination is made as to whether or not a marking on a vehicle has been legibly captured. Based on this determination, further steps may occur, including initiation of additional scanning or storage of a portion of video data.


This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Each of the above embodiments may include further recording devices, hardware, or steps not explicitly described. Other aspects and advantages of the invention will be apparent from the following detailed description of the embodiments and the accompanying drawing figures.





BRIEF DESCRIPTION OF THE DRAWING FIGURES

Embodiments of the invention are described in detail below with reference to the attached drawing figures, wherein:



FIG. 1A is a diagram of elements comprising embodiments of the invention;



FIG. 1B is a further diagram of elements comprising embodiments of the invention;



FIG. 2A is an illustration of an ideal clear image of a vehicle with legible markings thereon;



FIG. 2B is an illustration of a clear image of a vehicle with a license plate having illegible markings;



FIG. 2C is an illustration of an unclear image of a vehicle with a license plate having legible markings;



FIG. 3 is an illustration of a display of embodiments of the invention for presenting representative images of a license plate and soliciting user response;



FIG. 4 is a first flow diagram of steps that may be performed in embodiments of the invention;



FIGS. 5A, 5B, and 5C illustrate a second flow diagram of steps that may be performed in embodiments of the invention; and





The drawing figures do not limit the invention to the specific embodiments disclosed and described herein. The drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the invention.


DETAILED DESCRIPTION

The following detailed description references the accompanying drawings that illustrate specific embodiments in which the invention can be practiced. The embodiments are intended to describe aspects of the invention in sufficient detail to enable those skilled in the art to practice the invention. Other embodiments can be utilized and changes can be made without departing from the scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense. The scope of the invention is defined only by the appended claims, along with the full scope of equivalents to which such claims are entitled.


In this description, references to “one embodiment,” “an embodiment,” or “embodiments” mean that the feature or features being referred to are included in at least one embodiment of the technology. Separate references to “one embodiment,” “an embodiment,” or “embodiments” in this description do not necessarily refer to the same embodiment and are also not mutually exclusive unless so stated and/or except as will be readily apparent to those skilled in the art from the description. For example, a feature, structure, act, etc. described in one embodiment may also be included in other embodiments, but is not necessarily included. Thus, the current technology can include a variety of combinations and/or integrations of the embodiments described herein.


Embodiments of the invention provide systems and methods of capturing video data that adjust recording attributes of one or more video cameras to scan for a legible image of a license plate or other identifying characters or markings on a vehicle. Further, embodiments of the invention determine whether or not a legible image has been captured, and may take additional steps based on the determination. The additional steps may include rescanning the scene or storing the image data.


Turning to the figures, and particularly FIG. 1A, a first embodiment of a recording system 10 is described. FIG. 1A includes an intermediate recording device manager 12 (or “manager 12”), a vehicle recording device 14 mounted in a police vehicle 16 (or other first responder's vehicle) and communicatively coupled (e.g., synced) to the recording device manager 12, and a personal recording device 18. Personal recording device 18 may be carried by a police officer 20 or other first responder and wirelessly synced to the recording device manager 12. The recording device manager 12 is operable to detect when the vehicle recording device 14, personal recording device 18, or any other synced device in range has started recording and to broadcast or transmit a signal to other synced recording devices in range, instructing recording by the respective device. The recording device manager 12 may also generate time stamps and unique serial numbers for a data recording, and create or collect metadata and transmit such time stamps, unique serial number, and metadata to the recording devices 14, 18 for corroborating the recorded data. For illustrative purposes, the recording system 10 includes the vehicle recording device 14 and the personal recording device 18, but it will be understood that duplicate or additional devices, such as audio recorders, thermal imagers, security cameras, radios, radar and LIDAR scanners, and electronic weapons, can be synced to the recording device manager 12. Specifically, multiple recording devices 14, 18 can be synced with the manager 12 simultaneously.


In embodiments of the invention, the vehicle recording device 14 and personal recording device 18 are each video cameras operable to record data, including without limitation, audio data and video data. Moreover, the recording devices 14, 18 are also operable to record or generate metadata associated with the recording, such that the data recorded by the devices 14, 18 includes the audio data, the video data, and/or the metadata associated with either or both of the audio and video data. Examples of metadata for an audio or video recording include a location (as determined by a GPS) where the data was recorded, a user who recorded the data or was otherwise associated with the recording device 14, 18 (e.g., an officer driving a police vehicle or an officer wearing the personal recording device 18), the time stamp and/or unique serial number, a trigger for the data recording event (e.g., what prompted a data capture scan by the recording devices), and other data related to the recorded event. Additionally, as further discussed below, the metadata may include or link to data derived from identifying marks on a subject vehicle.


The recording device manager 12 is illustrated in FIG. 1A as a standalone device but can be incorporated into other devices, such as a laptop (including external computing device 22), a radio, a recording device (including the vehicle recording device 14), a mobile communications device, a battery pack, or an electronic weapon. The recording device manager 12 may be permanently or removably mounted anywhere in the police vehicle 16, such as on the dashboard, center console, or windshield. Alternatively, the recording device manager 12 can be carried or worn by the police officer 20, such as on his utility belt or in his pocket.


Exemplary hardware included in embodiments of the invention is illustrated in FIG. 1B. Computer 102 can be a laptop computer, as illustrated as external computing device 22 of FIG. 1A. Depicted with computer 102 are several components, for illustrative purposes. In some embodiments, certain components may be arranged differently or absent. Additional components may also be present. Included in computer 102 is system bus 104, whereby other components of computer 102 can communicate with each other. In certain embodiments, there may be multiple busses or components may communicate with each other directly. Connected to system bus 104 is central processing unit (or “processor”) 106. Also attached to system bus 104 are one or more random-access memory (RAM) modules. Also attached to system bus 104 is graphics card 110. In some embodiments, graphics card 104 may not be a physically separate card, but rather may be integrated into the motherboard or the processor 106. In some embodiments, graphics card 110 has a separate graphics-processing unit (GPU) 112, which can be used for graphics processing. Also on graphics card 110 is GPU memory 114. A display 116 may be connected (directly or indirectly) to graphics card 110 for user interaction. In some embodiments no display is present, while in others it is integrated into computer 102, or detached physically and remotely connected to computer 102. Similarly, peripherals such as keyboard 118 and mouse 120 may be connected to system bus 104. Like display 116, these or other peripherals may be integrated into computer 102, remotely connected, or absent. Also connected to system bus 104 is local storage 122, which may be any form of computer-readable media, and may be internally installed in computer 102 or externally and removeably attached.


Computer-readable media include both volatile and nonvolatile media, removable and nonremovable media, and contemplate media readable by a database. For example, computer-readable media include (but are not limited to) RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile discs (DVD), holographic media or other optical disc storage, magnetic cassettes, magnetic tape, magnetic disk storage, and other magnetic storage devices. These technologies can store data temporarily or permanently. However, unless explicitly specified otherwise, the term “computer-readable media” should not be construed to include physical, but transitory, forms of signal transmission such as radio broadcasts, electrical signals through a wire, or light pulses through a fiber-optic cable. Examples of stored information include computer-useable instructions, data structures, program modules, and other data representations.


Finally, network interface card (NIC) 124 is also attached to system bus 104 and allows computer 102 to communicate over a network. NIC 124 can be any form of network interface known in the art, such as Ethernet, ATM, fiber, Bluetooth, or Wi-Fi (i.e., the IEEE 802.11 family of standards). NIC 124 may connect computer 102 to a local network, optionally via a CAN bus 26, as further described below. The local network may in turn connected to Internet, or in some embodiments computer 102 may itself be directly connected to Internet.


Returning to FIG. 1A, external computing device 22 may be coupled to recording device manager 12 via wired or wireless connection. The external computing device 22 can be a laptop, tablet, mobile device, smartphone, or other computing device. The external computing device 22 displays a graphical user interface (GUI) by which the police officer 20 or other user may view recorded data and make selections regarding the recording system 10. As further described below, external computing device 22 may function as an input/output device to allow an officer to judge the legibility of characters captured in video data. External computing device 12 may include a central processing unit (CPU) and one or more random-access memory (RAM) modules, as well as a graphics card and display for user interaction. In some embodiments no display is present, while in others it may be spaced apart from and coupled to an external computing device 22. Similarly, peripherals such as keyboard and mouse may be coupled to external computing device 22. Like the display, these peripherals may be integrated into external computing device 22 or absent. External computing device 22 may be touch-sensitive, allowing an officer to input data or make selections via tap, swipe, or other gesture.


A power source 24 may be electronically connected to the vehicle recording device 14 through dedicated wiring. The power source 24 supplies power to each of the electronic components of the vehicle recording device and, in embodiments of the invention, to the recording device manager 12 and/or the personal recording device 18. In embodiments of the invention, the power source 24 is the police vehicle's battery but can be another power source, such as a battery cartridge of the external computing device 22.


The electronic connection between the recording device manager 12, the vehicle recording device 14, and the personal recording device 18 optionally includes a control area network (CAN) bus 26, which “directs traffic” for incoming and outgoing signals based on indicated importance or other factors and follows an algorithm for determining the order in which (or whether) signals are transmitted.


The vehicle recording device 14 is operable to record audio, video, and/or other data. In some embodiments, the vehicle recording device 14 is a video recording device such as one produced by Digital Ally, Inc., including the DVM100, DVM250, DVM250Plus, DVM250Law, DVM400, DV440Ultra, DVM470, DVM500, DVM500Plus, and DVM750. As described below, in some embodiments the vehicle recording device 14 is operable to receive a signal of a triggering event, while in other embodiments the vehicle recording device 14 utilizes the CAN bus 26 and is operable to receive time stamps and metadata in addition to the signal of a triggering event. The vehicle recording device 14 can be incorporated into the police vehicle's rear view mirror, dashboard, spotlight, or other locations associated with the police vehicle 16 or may be a stand-alone unit mounted within or on the police vehicle 16. The vehicle recording device 14 may receive power from the power source 24 through dedicated wiring. In addition to the exemplary vehicle recording devices listed above, a vehicle recording device is further described in commonly-owned U.S. Pat. No. 8,520,069, issued Aug. 27, 2013, entitled “Vehicle-Mounted Video System with Distributed Processing,” the entirety of which is incorporated by reference herein.


The personal recording device 18 is small, portable, wearable, easily concealed, and is operable to record audio, video, thermal, chemical, or other data. The personal recording device 18 can be worn by the officer 20, such as on the officer's shirt, hat, eyeglasses or sunglasses, electronic weapon, breath analyzer, or other device accessed or used by the officer. The personal recording device 18 is operable to receive a signal instructing the device 18 to begin or stop scanning (as discussed in further detail below), a signal indicative of a triggering event, and time stamps and metadata corresponding to the recordings. Additionally, the personal recording device 18 may further include a clock for determining a time corresponding to when a particular item of data was recorded. An exemplary personal recording device is the “FIRSTVU HD” produced by Digital Ally, Inc. and further described in U.S. Pat. No. 9,019,431, issued Apr. 28, 2015, and commonly assigned with the present application, the entirety of which is hereby incorporated by reference into the present application.


Recordings generated by the recording devices 14, 18 and associated metadata may be temporarily or permanently stored in a local memory element (hereinafter “memory”), such as a memory of the particular recording devices 14, 18, and/or a memory of external computing device 22 located in the police vehicle 16. The recording devices 14, 18 may alternatively or additionally be allowed to upload recordings to an external server or storage device. The external server or storage device could be a large-capacity storage device 28, such as a DVR housed in the vehicle, or may be a centralized computing device, such as housed at a police precinct. These examples are not meant to be limiting; any form of data storage and duplication is intended within embodiments of the invention.


An exemplary scenario of the recording system 10 in use is now described for illustrative purposes. The recording system 10 may be used by the police officer 20 to record video data during an event such as a traffic stop. The recording device manager 12 may be mounted near the vehicle recording device 14, such as on the windshield of the police vehicle 16, or may be integrated within a housing of the vehicle recording device 14. Alternatively, the recording device manager 12 may be mounted anywhere within the police vehicle 16 that allows for the recording device manager 12 to communicate (either via a wired or wireless connection) with the vehicle recording device 14. In embodiments of the invention, the vehicle recording device 14 is oriented in a forward direction relative to a front of the vehicle to record the traffic stop, and in yet further embodiments, multiple vehicle recording devices 14 may be mounted in or on the vehicle and oriented in different directions relative to the vehicle, such as backwards towards a rear of the vehicle, and to the left and right sides of the vehicle. The personal recording device 18 is mounted to the police officer's person or is otherwise carried by the police officer 20, such as on a lanyard, belt, or shoulder. In embodiments of the invention, the personal recording device 18 may include a GPS, an RFID, or another type of location or identification feature or sensor (not shown) that informs the recording device manager 12 of the relational location of the personal recording device 18 to the recording device manager 12. Alternatively, the officer may carry on their person a GPS (such as housed within or associated with a mobile communications device), RFID, or other type of location or identification sensor. Recording system 10 may include additional sensors not illustrated in FIG. 1A, such as a rangefinder. Data collected from such sensors may be stored along with video, audio, and metadata, and may be used in detection of trigger parameters or determination of scan range limits, as further discussed below.


Embodiments of the invention are not intended to be limited to the traffic stop situation described above. Embodiments may be stationary or mobile camera systems employed by businesses to record the identity of vehicles arriving and departing from a parking lot. Alternatively, embodiments may be employed in maritime settings, such as for tracking of shipping containers. In other embodiments of the invention, a military installation may use a camera system to pre-screen vehicles approaching a secure location. Any system including one or more video recording devices that scan for a legible image of a marking on a vehicle may fall within embodiments of the invention.


Returning to the law enforcement example, in embodiments of the invention, the recording device manager 12 may activate a data capture scan (or simply “scan”) from vehicle recording device 14 and/or personal recording device 18 responsive to a triggering event (also more simply known as a “trigger”). Examples of a triggering event may include, for example, turning on the vehicle's siren and/or signal lights, an indication that the vehicle is parked, an electronic detection of a subject car or a license plate, an accelerometer measurement outside a pre-established norm, a position of the vehicle and/or officer as measured by a GPS, a vehicle crash event, the police vehicle 16 attaining a threshold speed (e.g., 80 m.p.h.), activation of an electronic weapon, opening of the vehicle door, and/or activation of a radar or the radar detecting a subject car's speed at or over a pre-determined speed. In embodiments, the recording device manager 12 may receive a signal from, for example, the vehicle recording device 14, external computing device 22, or police vehicle 16 indicative of a triggering event. In response to receipt of the signal, or based on a type of triggering event as evidenced by the signal, the recording device manager 12 may instruct recording by the vehicle recording device 14 or the personal recording device 18 to begin a scan. As an exemplary scenario, the recording device manager 12 may receive a signal identifying a triggering event of a police vehicle 16 being placed in park while the vehicle signal lights are activated. Upon receipt of the signal, the recording device manager 12 sends a signal to either or both of the vehicle recording device 14 or the personal recording device 18 to instruct the devices 14, 18 to begin a scan. It should be appreciated that other types of triggering events and exemplary scenarios can be employed.


Alternatively, a data capture scan may be activated manually based on a user's manual selection, for instance via a police officer's button press of recording device manager 12, vehicle recording device 14, or external computing device 22. A manual selection may be made remotely from a fob carried by police officer 20 or a control integrated into the structure of personal recording device 18. In embodiments of the invention, a manual selection may be made by a remote user, such as by a dispatcher at a police station. As further discussed below, whether initiated via a trigger or via manual indication, a scan serves to adjust one or more recording attributes between a lower limit and upper limit to search for a legible image of a license plate or other vehicle marking.



FIGS. 2A-C illustrate examples of images captured by a recording device such as vehicle recoding device 14 of a subject vehicle 200,204,208 with a license plate 202,210 during a typical traffic stop situation introduced above. FIG. 2A illustrates a captured image of a subject vehicle 200 during a traffic stop occurring on a clear day with ideal recording conditions. Factors such as the make, model, color, damage, decals, bumper stickers, etc. of vehicle 200 can be distinguished in the captured video data, as well as the actions of figures in the scene. In particular, the license plate 202 of vehicle 200 is legible. Under such conditions, the license plate 202 will likely be clearly readable from portions of the video data captured (which may be motion video and/or still frames) by a human observer and/or a computer character recognition program.



FIG. 2B illustrates a similar situation to that illustrated in FIG. 2A, only in this instance the traffic stop is occurring at night, when recording conditions are less ideal. A subject vehicle 204 identical to vehicle 200 in FIG. 2A has been pulled over, and an image is captured from vehicle recording device 14 mounted forward-facing in police vehicle 16. The subject vehicle 204 can again be distinguished by factors such as make, model, color, etc., though perhaps to a lesser extent than in FIG. 2A. However, interference from sources such as the headlights of police vehicle 16 reflecting from the rear 206 of subject vehicle 204 has washed out the image of the license plate, making it completely illegible. This effect is known as “bloom,” and inhibits the ability of a user or computer program to definitively determine the identity of subject vehicle 204 from the recorded video data. As seen in FIG. 2B, the effect of bloom can be impactful enough to saturate the recording camera in region 206 of the image, such that the license plate cannot be seen at all.



FIG. 2C illustrates the traffic stop situation a third time, again occurring at night as in FIG. 2B. A subject vehicle 208 identical to vehicles 200,204 in FIGS. 2A-B has been pulled over, and an image is captured from vehicle recording device 14 mounted forward-facing in police vehicle 16. In illustrated image capture of FIG. 2C, one or more recording attributes of vehicle recording device 14 have been adjusted such that the bloom effect of the reflected headlights has been minimized. The subject vehicle 208 as a whole is actually much less distinguishable in terms of make, model, color, etc. compared to subject vehicle 204 of FIG. 2B, but the critical information of license plate 210 is legibly captured. The video data recording illustrated in FIG. 2C may be less likely to capture any events happening in the recorded scene but is valuable for establishing proof of the identity of subject vehicle 208.


Embodiments of the invention adjust one or more recording attributes of one or more video recording devices, such as vehicle recording device 14 or personal recording device 18, to scan for at least one frame of a legible image of markings on a vehicle, such as those on a license plate. As in the example illustrated in FIG. 2C, the frame containing legible markings for which the recording devices are scanning may be dark, obscured, unfocused, or otherwise unclear with respect to any elements of the scene other than the license plate (or other vehicle markings of interest). This is not intended to be limiting, as the legible frame may present a clear view of all elements of the scene, as in FIG. 2A. Examples of recording attributes that may be adjusted include gain, shutter speed, focus, white balance, sharpness, backlight compensation, iris aperture, or any other applicable adjustable attribute of the recording devices.


Because adjusting the recording attribute(s) of the recording devices 14, 18 to legibly capture the license plate 200,210 may reduce visibility of other elements in the recorded scene, embodiments of the invention may not permanently set the recording attributes to such values. Doing so is unnecessary, as only a single legible frame is needed for identification purposes. Additionally, permanent adjustment of the recording attributes might require significant computation to determine the appropriate values and may render the recording less valuable as a documentation of events in the scene. Rather, in embodiments of the invention, selected recording attributes are only temporarily adjusted to scan for a legible image of a marking on a vehicle, such as a license plate. For example, a recording attribute such as gain may be adjusted across a range of values, searching for a single value within that range at which the license plate is legible. In embodiments of the invention, one or more recording devices 14, 18 perform a scan for legible markings on a vehicle while other recording devices 14, 18 continue recording video data using normal recording attributes. In this way the portion of recorded video occurring during the scan is recorded as usual. It should also be appreciated that embodiments of the invention may employ a dedicated vehicle recording device 14 for capturing the image or scanning the vehicle for markings.


The scan range for a particular attribute includes a lower limit and an upper limit, each of which may be a predetermined limit programmed into memory, may be selected manually by a user, or may be dynamically selected by the recording system 10 based on factors such as the time of day, a sensed ambient light level, or a distance measurement. Such a distance measurement may be, for instance, from the recording device 14, 18 to the subject vehicle 200. Alternatively, a distance measurement may be estimated by an officer 20 and entered via external computing device 22. Manual selections may be presented to the user as multiple choice selections based on the user's evaluation of the visibility of the scene, such as a “low-light” scan range, “high interference” scan range, or “long distance” scan range. These scan ranges are meant only as examples, and are not intended to be limiting in any way.


A recording attribute may be adjusted within a scan range by a continuous “sweep” of the scan range or may be adjusted incrementally by set values. The incremental values by which a recording attribute is adjusted may be uniform increments, which may be predetermined increments programmed into memory or may be selected manually by a user. Alternatively, uniform increments may be dynamically selected by the recording system based on sensed parameters such as the time of day, a sensed ambient light level, or a distance measurement. Like the scan range limits, the increments of adjustment of a recording attribute within a scan range may be presented to the user as multiple choice selections based on their evaluation of the visibility of the scene, such as “low-light” adjustments, “high interference” adjustments, or “long distance” adjustments. Again, these are meant only as examples, and are not intended to be limiting in any way.


In the course of performing a scan for a legible marking on a vehicle, embodiments of the invention may adjust more than one recording attribute within respective scan ranges, each scan range including a respective upper and lower limit. For example, a scan may adjust gain between a minimum level of 30% and a maximum level of 70% and also adjust shutter speed between 0.02 and 0.05 seconds. The adjustments may be done simultaneously, or may be performed independently of one another, with the value of one recording attribute adjusted while the other is held at a static value. Specifically, a first recording attribute may remain at a first value within its first scan range while a second recording attribute is adjusted within its second scan range, and the second recording attribute may remain at a second value within its second scan range while the first recording attribute is adjusted within its first scan range.


In some embodiments, the value of a given recording attribute may be adjusted throughout a scan range multiple times, with the values of other recording attributes held at different static values each time. For instance, gain may be adjusted between a 30% lower limit and a 70% upper limit while the shutter speed is held at 0.025 seconds, and then adjusted again between the same limits while the shutter speed is held at 0.05 seconds. The shutter speed may then be adjusted one or more times while the gain is held at one or more static values. Static values may be predetermined, selected by a user, or determined dynamically by the system upon initiation of a scan. The above examples are not intended to be limiting. In embodiments of the invention, more than two recording attributes may be adjusted simultaneously or independently while other recording attributes are held static. Specifically, a scan may include a third scan range including a third upper limit and a third lower limit. For example, a single scan may adjust shutter speed, gain, and white balance between upper and lower limits. Any combination of increments, selected type and number of recording attributes, upper and lower limits, and independence or simultaneity of adjustments are intended within embodiments of the invention.


In embodiments of the invention, representative image captures from a scan may be presented to a user on a display, as illustrated in FIG. 3. As discussed below, a user may respond to one or more images presented on the display via touch or through a separate input device to indicate success or failure of the scan and/or select further steps to be performed. FIG. 3 is intended only as an illustration of a display presented in embodiments of the invention, and is not intended to be limiting.



FIG. 4 broadly illustrates steps performed in operation of an embodiment of the invention. These steps may be performed during an event such as a traffic stop, where a video recording of a subject vehicle 200,204,208 needs to capture a legible image of a license plate 202,210. Prior to step 402, one or more recording devices 14, 18 may or may not already be active, recording, and/or storing video data. At step 402, an indication to begin a scan is provided to the system. As discussed above, this indication to begin may be provided by a user's manual input or based on one or more sensed trigger parameters. In some embodiments, the indication to begin a scan may activate one or more recording devices 14, 18 and/or cause them to temporarily or permanently store video data. In response to the received indication, a scan is initiated by the system based on a program stored in memory, user input, and/or sensed parameters. At step 404, a first recording attribute, such as gain, is adjusted between within a first scan range. The first scan range is bound by an upper limit and a lower limit, which may be predetermined, based on sensed parameters, or manually selected by a user. While the first recording attribute is being adjusted, all other recording attributes may be held at selected values. The selected static values for each recording attribute not being adjusted may be predetermined, based on sensed parameters, or manually selected by a user. At step 406, the first recording attribute is held at a static value while a second recording attribute, such as shutter speed, is adjusted within a second scan range. Again, while the second recording attribute is being adjusted, all other recording attributes may be held at selected values, which again may be predetermined, based on sensed parameters, or manually selected by a user. In embodiments of the invention, these steps may be preformed for three or more recording attributes within their respective scan ranges. Further, the adjustment of each recording attribute within their respective scan ranges may alternatively be performed simultaneously, to achieve a faster (though possibly less robust) scan.


At step 408, a determination is made as to whether or not markings on a vehicle, such as those appearing on a license plate, have been legibly captured. In embodiments of the invention, representative frames from a scan may be presented via a display (such as on external computing device 22) for confirmation and/or selection by a user. As seen in FIG. 3, in embodiments of the invention a display screen 300 is presented to a user with frames 304, 306, and 308 selected from a scan. Frame 304 has the clearest image of the vehicle, but has no legible license plate data as explained in relation to FIG. 2B. Frames 306 and 308 have dark, blurry, or otherwise obscured images of the vehicle, but have successfully captured the license plate data needed for identification. A user may respond to these displayed frames 304,306,308 via touching the screen or use of a separate input device to select one or more that include legible data. For instance, an officer 20 may select frames 306 and 308, indicating that the license plate 123XYZ is legible in each of these frames. Next, the officer may tap button 310 in response window 302 to store the selected frames in memory, associated with the video data captured of the traffic stop event. A text recognition program may then extract the data from one or more of the selected frames. At this point, the system proceeds to step 410 in which data from the license plate may be saved, possibly as metadata relating to the captured video data. For instance, the title of the stored video may be appended with the recognized license plate data. Additionally or alternatively, metadata related to the captured video data may include a link to a still image of the license plate data stored in memory.



FIG. 3 further includes buttons 312 and 314 in response window 302, as well as timer 316. Button 312 may be pressed by an officer 20 to indicate that a scan should be cancelled. This may be of use, for example, in case a traffic stop is uneventful or another officer has already documented the scene. Selection of button 312 may allow a user to rescan the scene if none of the frames 304,306,308 have legibly captured the license plate data. Selection of Rescan button 312 may initiate a modified scan, as further described below. Finally, FIG. 3 displays a timer 316, indicating a remaining amount of time before a timeout occurs. The total amount of time allowed before timeout may be programmed into memory or set by the user. Upon expiration of timer 316, the system may automatically cancel the scan, rescan, or initiate a modified scan. Alternatively, upon timeout the system may proceed to step 410, storing all of the displayed frames 304,306,308 in memory.


In other embodiments, step 408 may be performed initially by a computer text recognition algorithm. The algorithm may select representative frames from the scan and extract text from each frame, searching for a string of text that fits the appropriate format of a license plate. Alternatively, the algorithm may run continuously during the scan, and may halt the scan upon recognition of a string of characters in a valid format, such as in a license plate format. Valid formats may be stored in memory. In embodiments of the invention, the computer-recognized screen may be presented to a user along with an image frame from which it was extracted for user confirmation of successful license plate capture. At this point, the system proceeds to step 410 in which data from the license plate may be saved, possibly as metadata relating to the captured video data.


As has been described above, computer and/or user determination of successful capture of a legible image of a marking on a vehicle may initiate storage of at least a portion of the scan that includes the legible marking. However, in the event that capture of a legible image is determined to be unsuccessful, the system may perform an additional scan. The additional scan may activate automatically or in response to selection by a user. The additional scan may use recording attributes, scan ranges, and adjustment increments that are identical to those of the prior scan(s). Alternatively, the additional scan may be a modified scan, differing from the prior scan(s) in any or all of these elements.


A modified scan may be beneficial in situations with particularly difficult viewing conditions to provide an increased likelihood of capturing a legible image of a marking on a vehicle. The modified scan may simply select one or more different recording attributes for adjustment, such as gain and frame rate rather than white balance and focal distance. The modified scan may adjust the same recording attributes, but choose different upper and/or lower limits, modifying the scan range of one or more of the recording attributes. Modified upper and lower limits may define a larger scan range in a modified scan for a particular recording attribute, and/or may shift the original scan range. A modified scan may alternatively or additionally change the simultaneity of adjustment of recording attributes. For example, if in a previous failed scan, gain and white balance were adjusted within their respective scan ranges simultaneously, in a subsequent modified scan gain may be held at a static value while white balance is adjusted and vice versa. Any or all of the modifications discussed may be employed in a given modified scan, as well as any other modifications not expressly described.


While reference has been made above to the various components and techniques of embodiments of the invention, the description that follows will provide further examples systems and processes that may be added in embodiments of the invention. The description below is intended to merely exemplify steps that may be taken in practice of operation of embodiments of the invention and is not intended to be limiting. Further steps that may be performed in practice of some embodiments of the invention are illustrated in FIGS. 5A-C and herein described.



FIG. 5A begins at step 502, corresponding to step 402 of FIG. 4, in which an indication to begin a scan is provided to the system by a human or computer. The indication may be in response to one or more trigger parameters such as an indication that a police vehicle 16 is parked, a computer detection of a subject car, a detection of a license plate 200, an activation of a vehicle siren, and an activation of signal lights. At step 504, the lower and upper limits of the first scan range are determined for a first recording attribute. These limits may be predetermined, selected by a user, or determined dynamically based on sensed parameters such as a sensed light level. At step 506 the system determines whether or not the first recording attribute will be adjusted by uniform increments. If the increments are uniform, the process proceeds to step 508, at which the system determines whether the size of the uniform increments has been predetermined and stored in memory, or if the size needs to be determined based at least partially on sensed factors. If they are predetermined, the system proceeds to step 510, adjusting the first recording attribute between the first upper and lower limits using the uniform increments. If sensed factors must be taken into account, the system does so at step 512 before proceeding to the adjustment at step 510.


Returning to step 506, if the increments of adjustment are not uniform, the process proceeds to step 514, at which the system determines whether or not the system should perform a continuous sweep through across the scan range. If this determination is yes, the system adjusts the first recording attribute in this way at step 516. If the determination at step 514 is no, the system adjusts the first recording attribute using a set of predetermined or random non-uniform increments at step 518.


Each of these regimes of adjustment of the first recording attribute converge at step 520, at which the preceding process (beginning at step 504) is performed once again, this time with respect to the second recording attribute. In step 520, as in step 504, the system determines the upper and lower limits for the second scan range, corresponding to the second recording attribute. Again in steps 522, 524, 528 and 530 (FIG. 5B), determinations are made about how the second recording attribute is to be scanned within the second scan range. Each of these determinations are made in the same manner as the decision points at steps 506, 508, and 514, resulting in adjustment of the second recording attribute at steps 526, 528, or 534. The determinations made for adjustment of the second recording attribute may or may not be the same as those made for the first recording attribute. For example, the first recording attribute may be gain, adjusted by 1% increments from 50% to 100%, while the second recording attribute, may be white balance, adjusted continuously from the minimum to maximum white balance available to the system. This is meant only as an example, and is not intended to be limiting. Any combination of recording attributes, scan ranges, and scan regimes is intended to be within embodiments of the invention.


Specifically, at step 520, the lower and upper limits of the second scan range are determined for a second recording attribute. These limits may be predetermined, selected by a user, or determined dynamically based on sensed parameters such as a sensed light level. At step 522 the system determines whether or not the second recording attribute will be adjusted by uniform increments. If the increments are uniform, the process proceeds to step 524, at which the system determines whether the size of the uniform increments has been predetermined and stored in memory, or if the size needs to be determined based at least partially on sensed factors. If they are predetermined, the system proceeds to step 526, adjusting the second recording attribute between second first upper and lower limits using the uniform increments. If sensed factors must be taken into account, the system does so at step 528 before proceeding to the adjustment at step 526.


Returning to step 522, if the increments of adjustment are not uniform, the process proceeds to step 530, at which the system determines whether or not the system should perform a continuous sweep through across the second scan range. If this determination is yes, the system adjusts the second recording attribute in this way at step 532. If the determination at step 530 is no, the system adjusts the second recording attribute using a set of predetermined or random non-uniform increments at step 534.


Regardless of the determinations made, all of these regimes of adjustment of the second recording attribute converge at step 536. At this step the system determines whether or not a third attribute is to be adjusted within a third scan range. If so, the process proceeds through steps 538, 540, 542, 544, 546, 548, and 550 for determining the method of adjusting the third recording attribute. These steps are performed in the same manner as previously performed for the first and second recording attributes. These steps may be repeated for an arbitrary number of recording attributes, as determined by the system and/or a user.


Specifically, at step 540, the lower and upper limits of the third scan range are determined for a third recording attribute. These limits may be predetermined, selected by a user, or determined dynamically based on sensed parameters such as a sensed light level. At step 542 the system determines whether or not the third recording attribute will be adjusted by uniform increments. If the increments are uniform, the process proceeds to step 544, at which the system determines whether the size of the uniform increments has been predetermined and stored in memory, or if the size needs to be determined based at least partially on sensed factors. If they are predetermined, the system proceeds to step 546, adjusting the third recording attribute between the third upper and lower limits using the uniform increments. If sensed factors must be taken into account, the system does so at step 548 before proceeding to the adjustment at step 546.


Returning to step 542, if the increments of adjustment are not uniform, the process proceeds to step 550, at which the system determines whether or not the system should perform a continuous sweep through across the third scan range. If this determination is yes, the system adjusts the first recording attribute in this way at step 552. If the determination at step 550 is no, the system adjusts the third recording attribute using a set of predetermined or random non-uniform increments at step 554.


When the final recording attribute has been adjusted (which in the case of FIG. 5C is the third recording attribute) the system proceeds to step 554, where a determination is made of the legibility of the captured by the scan. This may be determined by a user in step 556. For example, the system may display one or more captured images of markings to a user for confirmation of success. Alternatively, computer text-recognition software may independently determine the success or failure of the scan. Via either approach, if in step 558 the system determines a successful capture of a legible image of markings on a vehicle, a portion of the scan including the markings is stored in memory at step 560. If, however, in step 558 the system determines an unsuccessful capture of a legible image of markings on a vehicle, the system proceeds to step 562 to determine whether an additional scan should be performed. This step may be performed automatically by the system or in response to user input. Determination of initiation of an additional scan by a user may be subject to a timeout, as described above. If an additional scan is rejected at step 562, the system quits at step 564, returning to its initial condition of waiting for an indication to begin a scan. If an additional scan is initiated at step 562, the system returns to step 502 to repeat the entire process. The additional scan may be identical to the first or may be a modified scan, differing in number or type of recording attributes adjusted, methods of adjustment, and/or scan ranges as described above.


It should be appreciated that, while the above disclosure is directed mainly to the field of law enforcement, some embodiments of the invention may be employed for any pursuit requiring legible video capture of information. Embodiments of the invention may be used in any setting or field, such as military or road maintenance vehicles, to maximize the likelihood of capturing a legible image of readable characters using a video camera. In embodiments of the invention, readable characters may be identified from sources other than license plates, such as billboards, street signs, bumper stickers, or apparel. Further, though the description above is uses a car as subject vehicle 200,204,208, embodiments of the invention could equivalently be employed to identify a subject boat, trailer, motorcycle, etc. Embodiments of the invention may be used by private individuals or businesses to help prevent fraud, identify visitors, or track shipments. The law enforcement field discussed is merely exemplary and should not be construed as limiting.

Claims
  • 1. A method of scanning for a legible marking on a vehicle, the method including the steps of: acquiring an indication to begin a scan with a video camera,wherein the video camera has a first recording attribute and a second recording attribute;sweeping the first recording attribute across a first scan range,wherein the first scan range is defined by a first lower limit and a first upper limit;wherein the first recording attribute is swept across the first scan range by uniform increments,wherein a size of the uniform increments is determined based on a time of day or a sensed ambient light level;sweeping the second recording attribute across a second scan range,wherein the second scan range is defined by a second lower limit and a second upper limit;determining, after said sweeping of said first recording attribute and second recording attribute, an acquisition of the legible marking on a vehicle based at least on a user's response to a displayed image of at least a portion of the vehicle; andstoring, in a memory, at least a portion of said scan that includes said legible marking on a vehicle.
  • 2. The method of claim 1, wherein said first recording attribute remains at a first static value within said first scan range while said second recording attribute is swept across said second scan range, andwherein said second recording attribute remains at a second static value within said second scan range while said first recording attribute is swept across said first scan range.
  • 3. An image capture device including: a video camera with a first recording attribute and a second recording attribute,a storage device; anda processor configured to perform the steps of: acquiring an indication to begin a scan with the video camera,sweeping the first recording attribute across a first scan range,wherein the first scan range is defined by a first lower limit and a first upper limit,sweeping the second recording attribute across second scan range,wherein the second scan range is defined by a second lower limit and a second upper limit,wherein said first upper limit, said first lower limit, said second upper limit, and said second lower limit are selected based on a time of day or a sensed ambient light level,determining, after said sweeping of said first recording attribute and second recording attribute, a successful capture of an image of a legible marking on a vehicle based on a computer recognition of a valid marking, andstoring at least a portion of said scan within said storage device,wherein the portion of said scan includes the image of the legible marking on the vehicle.
  • 4. The method of claim 1, further including the step of sweeping a third recording attribute across a third scan range, wherein said third scan range is defined by a third upper limit and a third lower limit.
  • 5. The image capture device of claim 3, wherein the indication to begin the scan is provided automatically based on a trigger parameter.
  • 6. The image capture device of claim 5, wherein said trigger parameter providing the indication to begin the scan is selected from a group consisting of an indication that a vehicle is parked, a computer detection of a subject car, an activation of a vehicle siren, and an activation of signal lights.
  • 7. The method of claim 3, wherein the first recording attribute is swept across the first scan range by uniform increments.
  • 8. A method of scanning for a legible marking on a vehicle, the method including the steps of: acquiring an indication to begin a scan with a video camera,wherein the video camera has a first recording attribute and a second recording attribute;sweeping the first recording attribute across a first scan range,wherein the first scan range is defined by a first lower limit and a first upper limit;sweeping the second recording attribute across a second scan range,wherein the second scan range is defined by a second lower limit and a second upper limit;wherein said first upper limit, said first lower limit, said second upper limit, and said second lower limit are selected based on a time of day or a sensed ambient light level; anddetermining, after said sweeping of said first recording attribute and second recording attribute, if said marking on a vehicle has been legibly captured based on a computer recognition of a valid marking format.
  • 9. The method of claim 8, wherein a portion of said scan that includes the marking on a vehicle is stored upon a determination that the marking on the vehicle has been legibly captured.
  • 10. The method of claim 8, further including the step of initiating a second scan upon a determination that the marking on the vehicle has not been legibly captured.
  • 11. The method of claim 10, wherein the second scan sweeps the first recording attribute across a first modified scan range, wherein the first modified scan range is not identical to the first scan range.
  • 12. The method of claim 10, wherein the second scan includes the step of sweeping a third recording attribute across a third scan range,wherein said third scan range is defined by a third upper limit and a third lower limit.
  • 13. The method of claim 1, wherein said step of determining an acquisition of the legible marking on a vehicle based at least on a user's manual input comprises displaying a selected image of the marking on a vehicle to a user for confirmation that the marking is legible.
  • 14. The image capture device of claim 3, wherein the step of determining if said marking on a vehicle has been legibly captured comprises extracting textual data from the marking on a vehicle and comparing the extracted textual data to a predetermined character string representing a license plate format.
  • 15. The image capture device of claim 3, wherein the step of determining if said marking on a vehicle has been legibly captured comprises extracting textual data from the marking on a vehicle and comparing the extracted textual data to a license plate database to determine a match.
  • 16. The method of claim 1, further including the step of extracting and storing textual data from the legible marking.
  • 17. The method of claim 1, further including the step of initiating a second scan upon a determination that the marking on a vehicle has not been legibly captured.
  • 18. The method of claim 16, wherein the textual data from the legible marking is stored in metadata for an audio or video recording.
US Referenced Citations (415)
Number Name Date Kind
4409670 Herndon et al. Oct 1983 A
4789904 Peterson Dec 1988 A
4863130 Marks, Jr. Sep 1989 A
4918473 Blackshear Apr 1990 A
5027104 Reid Jun 1991 A
5096287 Kaikinami et al. Mar 1992 A
5111289 Lucas et al. May 1992 A
5289321 Secor Feb 1994 A
5381155 Gerber Jan 1995 A
5408330 Squicciarii et al. Apr 1995 A
5446659 Yamawaki Aug 1995 A
5453939 Hoffman et al. Sep 1995 A
5473501 Claypool Dec 1995 A
5473729 Bryant et al. Dec 1995 A
5479149 Pike Dec 1995 A
5497419 Hill Mar 1996 A
5526133 Paff Jun 1996 A
5585798 Yoshioka et al. Dec 1996 A
5642285 Woo et al. Jun 1997 A
5668675 Fredricks Sep 1997 A
5689442 Swanson et al. Nov 1997 A
5742336 Lee Apr 1998 A
5752632 Sanderson et al. May 1998 A
5798458 Monroe Aug 1998 A
5815093 Kikinis Sep 1998 A
5850613 Bullecks Dec 1998 A
5878283 House et al. Mar 1999 A
5886739 Winningstad Mar 1999 A
5890079 Levine Mar 1999 A
5926210 Hackett et al. Jul 1999 A
5962806 Coakley et al. Oct 1999 A
5978017 Tino Nov 1999 A
5983161 Lemelson et al. Nov 1999 A
5996023 Winter et al. Nov 1999 A
6008841 Charlson Dec 1999 A
6028528 Lorenzetti et al. Feb 2000 A
6052068 Price R-W et al. Apr 2000 A
6097429 Seeley et al. Aug 2000 A
6100806 Gaukel Aug 2000 A
6121881 Bieback et al. Sep 2000 A
6141609 Herdeg et al. Oct 2000 A
6141611 Mackey et al. Oct 2000 A
6163338 Johnson et al. Dec 2000 A
6175300 Kendrick Jan 2001 B1
6298290 Abe et al. Oct 2001 B1
6310541 Atkins Oct 2001 B1
6314364 Nakamura Nov 2001 B1
6324053 Kamijo Nov 2001 B1
6326900 Deline et al. Dec 2001 B2
6333694 Pierce et al. Dec 2001 B2
6333759 Mazzilli Dec 2001 B1
6370475 Breed et al. Apr 2002 B1
RE37709 Dukek May 2002 E
6389340 Rayner May 2002 B1
6396403 Haner May 2002 B1
6405112 Rayner Jun 2002 B1
6449540 Rayner Sep 2002 B1
6452572 Fan et al. Sep 2002 B1
6490409 Walker Dec 2002 B1
6518881 Monroe Feb 2003 B2
6525672 Chainer et al. Feb 2003 B2
6546119 Ciolli et al. Apr 2003 B2
6560463 Santhoff May 2003 B1
6563532 Strub et al. May 2003 B1
6591242 Karp et al. Jul 2003 B1
6681195 Poland et al. Jan 2004 B1
6690268 Schofield et al. Feb 2004 B2
6697103 Fernandez et al. Feb 2004 B1
6718239 Rayer Apr 2004 B2
6727816 Helgeson Apr 2004 B1
6748792 Freund et al. Jun 2004 B1
6823621 Goffried Nov 2004 B2
6831556 Boykin Dec 2004 B1
6856873 Breed et al. Feb 2005 B2
6877434 McNulty, Jr. Apr 2005 B1
6883694 Abelow Apr 2005 B2
6950122 Mirabile Sep 2005 B1
6970183 Monroe Nov 2005 B1
7012632 Freeman et al. Mar 2006 B2
7034683 Ghazarian Apr 2006 B2
D520738 Tarantino May 2006 S
7038590 Hoffman et al. May 2006 B2
7071969 Stimson, III Jul 2006 B1
7088387 Freeman et al. Aug 2006 B1
7119832 Blanco et al. Oct 2006 B2
7126472 Kraus et al. Oct 2006 B2
7147155 Weekes Dec 2006 B2
7180407 Guo et al. Feb 2007 B1
7190822 Gammenthaler Mar 2007 B2
7363742 Nerheim Apr 2008 B2
7371021 Ross et al. May 2008 B2
7421024 Castillo Sep 2008 B2
7436143 Lakshmanan et al. Oct 2008 B2
7436955 Yan et al. Oct 2008 B2
7448996 Khanuja et al. Nov 2008 B2
7456875 Kashiwa Nov 2008 B2
7496140 Winningstad et al. Feb 2009 B2
7500794 Clark Mar 2009 B1
7508941 O'Toole, Jr. et al. Mar 2009 B1
7511737 Singh Mar 2009 B2
7536457 Miller May 2009 B2
7539533 Tran May 2009 B2
7561037 Monroe Jul 2009 B1
7594305 Moore Sep 2009 B2
7602301 Stirling et al. Oct 2009 B1
7602597 Smith et al. Oct 2009 B2
7631452 Brundula et al. Dec 2009 B1
7656439 Manico et al. Feb 2010 B1
7659827 Gunderson et al. Feb 2010 B2
7680947 Nicholl et al. Mar 2010 B2
7697035 Suber, III et al. Apr 2010 B1
7701692 Smith et al. Apr 2010 B2
7778004 Nerheim et al. Aug 2010 B2
7804426 Etcheson Sep 2010 B2
7806525 Howell et al. Oct 2010 B2
7853944 Choe Dec 2010 B2
7944676 Smith et al. May 2011 B2
7984579 Brundula et al. Jul 2011 B2
8077029 Daniel et al. Dec 2011 B1
8121306 Cilia et al. Feb 2012 B2
8175314 Webster May 2012 B1
8269617 Cook et al. Sep 2012 B2
8314708 Gunderson et al. Nov 2012 B2
8350907 Blanco et al. Jan 2013 B1
8356438 Brundula et al. Jan 2013 B2
8373567 Denson Feb 2013 B2
8373797 Isii et al. Feb 2013 B2
8384539 Denny et al. Feb 2013 B2
8446469 Blanco et al. May 2013 B2
8456293 Trundle et al. Jun 2013 B1
8508353 Cook et al. Aug 2013 B2
8559486 Kitayoshi Oct 2013 B2
8594485 Brundula Nov 2013 B2
8606492 Botnen Dec 2013 B1
8676428 Richardson et al. Mar 2014 B2
8690365 Williams Apr 2014 B1
8707758 Keays Apr 2014 B2
8725462 Jain et al. May 2014 B2
8744642 Nemat-Nasser et al. Jun 2014 B2
8780205 Boutell et al. Jul 2014 B2
8781292 Ross et al. Jul 2014 B1
8805431 Vasavada et al. Aug 2014 B2
8849501 Cook et al. Sep 2014 B2
8854199 Cook et al. Oct 2014 B2
8887208 Merrit et al. Nov 2014 B1
8890954 O'Donnell et al. Nov 2014 B2
8930072 Lambert et al. Jan 2015 B1
8934045 Kam et al. Jan 2015 B2
8989914 Nemat-Nasser et al. Mar 2015 B1
8996234 Tamari et al. Mar 2015 B1
8996240 Plante Mar 2015 B2
9002313 Sink et al. Apr 2015 B2
9003474 Smith Apr 2015 B1
9058499 Smith Jun 2015 B1
9122082 Abreau Sep 2015 B2
9123241 Grigsby et al. Sep 2015 B2
9164543 Minn et al. Oct 2015 B2
9253452 Ross et al. Feb 2016 B2
9518727 Markle et al. Dec 2016 B1
9591255 Sakiewica et al. Mar 2017 B2
9728228 Palmer et al. Aug 2017 B2
9841259 Phillips et al. Dec 2017 B2
20010033661 Prokoski Oct 2001 A1
20020013517 West et al. Jan 2002 A1
20020019696 Kruse Feb 2002 A1
20020032510 Tumball et al. Mar 2002 A1
20020044065 Quist et al. Apr 2002 A1
20020049881 Sugimura Apr 2002 A1
20020084130 Der Gazarian et al. Jul 2002 A1
20020131768 Gammenthaler Sep 2002 A1
20020135336 Zhou et al. Sep 2002 A1
20020159434 Gosior et al. Oct 2002 A1
20020191952 Fiore et al. Dec 2002 A1
20030040917 Fiedler Feb 2003 A1
20030080713 Kirmuss May 2003 A1
20030080878 Kirmuss May 2003 A1
20030081121 Kirmuss May 2003 A1
20030081934 Kirmuss May 2003 A1
20030081935 Kirmuss May 2003 A1
20030081942 Melnyk et al. May 2003 A1
20030095688 Kirmuss May 2003 A1
20030106917 Shelter et al. Jun 2003 A1
20030133018 Ziemkowski Jul 2003 A1
20030151510 Quintana et al. Aug 2003 A1
20030184674 Manico et al. Oct 2003 A1
20030185417 Alattar et al. Oct 2003 A1
20030215010 Kashiwa Nov 2003 A1
20030215114 Kyle Nov 2003 A1
20030222982 Hamdan et al. Dec 2003 A1
20040008255 Lewellen Jan 2004 A1
20040043765 Tolhurst Mar 2004 A1
20040143373 Ennis Jun 2004 A1
20040145457 Schofield et al. Jul 2004 A1
20040150717 Page et al. Aug 2004 A1
20040168002 Accarie et al. Aug 2004 A1
20040199785 Pederson Oct 2004 A1
20040223054 Rotholtz Nov 2004 A1
20040243734 Kitagawa et al. Dec 2004 A1
20040267419 Jing Dec 2004 A1
20050030151 Singh Feb 2005 A1
20050046583 Richards Mar 2005 A1
20050050266 Haas et al. Mar 2005 A1
20050068169 Copley et al. Mar 2005 A1
20050068417 Kreiner Mar 2005 A1
20050083404 Pierce et al. Apr 2005 A1
20050094966 Elberbaum May 2005 A1
20050100329 Lao et al. May 2005 A1
20050101334 Brown et al. May 2005 A1
20050134966 Burgner May 2005 A1
20050132200 Jaffe et al. Jun 2005 A1
20050151852 Jomppanen Jul 2005 A1
20050035161 Shioda Aug 2005 A1
20050185438 Ching Aug 2005 A1
20050206532 Lock Sep 2005 A1
20050206741 Raber Sep 2005 A1
20050228234 Yang Oct 2005 A1
20050232469 Schofield et al. Oct 2005 A1
20050243171 Ross, Sr. et al. Nov 2005 A1
20050258942 Mansseh et al. Nov 2005 A1
20060009238 Stanco et al. Jan 2006 A1
20060028811 Ross, Jr. et al. Feb 2006 A1
20060055786 Olilla Mar 2006 A1
20060082730 Franks Apr 2006 A1
20060158968 Vanman et al. Jul 2006 A1
20060164220 Harter, Jr. et al. Jul 2006 A1
20060164534 Robinson et al. Jul 2006 A1
20060170770 MacCarthy Aug 2006 A1
20060176149 Douglas Aug 2006 A1
20060183505 Willrich Aug 2006 A1
20060193749 Ghazarian et al. Aug 2006 A1
20060203090 Wang et al. Sep 2006 A1
20060220826 Rast Oct 2006 A1
20060225253 Bates Oct 2006 A1
20060244601 Nishimura Nov 2006 A1
20060256822 Kwong et al. Nov 2006 A1
20060267773 Roque Nov 2006 A1
20060270465 Lee et al. Nov 2006 A1
20060271287 Gold et al. Nov 2006 A1
20060274166 Lee et al. Dec 2006 A1
20060274828 Siemens et al. Dec 2006 A1
20060276200 Radhakrishnan et al. Dec 2006 A1
20060278705 Hedley Dec 2006 A1
20060282021 DeVaul et al. Dec 2006 A1
20060287821 Lin Dec 2006 A1
20060293571 Bao et al. Dec 2006 A1
20070021134 Liou Jan 2007 A1
20070064108 Haler Mar 2007 A1
20070067079 Kosugi Mar 2007 A1
20070091557 Kim et al. Apr 2007 A1
20070102508 Mcintosh May 2007 A1
20070117083 Winneg et al. May 2007 A1
20070132567 Schofield et al. Jun 2007 A1
20070152811 Anderson Jul 2007 A1
20070172053 Poirier Jul 2007 A1
20070177023 Beuhler et al. Aug 2007 A1
20070195939 Sink et al. Aug 2007 A1
20070199076 Rensin et al. Aug 2007 A1
20070213088 Sink Sep 2007 A1
20070229350 Scalisi et al. Oct 2007 A1
20070257781 Denson Nov 2007 A1
20070257782 Etcheson Nov 2007 A1
20070257804 Gunderson et al. Nov 2007 A1
20070257815 Gunderson et al. Nov 2007 A1
20070260361 Etcheson Nov 2007 A1
20070268158 Gunderson et al. Nov 2007 A1
20070271105 Gunderson et al. Nov 2007 A1
20070274705 Kashiwa Nov 2007 A1
20070277352 Maron et al. Dec 2007 A1
20070285222 Zadnikar Dec 2007 A1
20070287425 Bates Dec 2007 A1
20070297320 Brummette et al. Dec 2007 A1
20080001735 Tran Jan 2008 A1
20080002031 Cana et al. Jan 2008 A1
20080002599 Denny et al. Feb 2008 A1
20080030580 Kashhiawa et al. Feb 2008 A1
20080042825 Denny et al. Feb 2008 A1
20080043736 Stanley Feb 2008 A1
20080049830 Richardson Feb 2008 A1
20080063252 Dobbs et al. Mar 2008 A1
20080084473 Romanowich Apr 2008 A1
20080100705 Kister et al. May 2008 A1
20080122603 Piante et al. May 2008 A1
20080129518 Carlton-Foss Jun 2008 A1
20080143481 Abraham et al. Jun 2008 A1
20080144705 Rackin et al. Jun 2008 A1
20080169929 Albertson et al. Jul 2008 A1
20080170130 Ollila et al. Jul 2008 A1
20080175565 Takakura et al. Jul 2008 A1
20080211906 Lovric Sep 2008 A1
20080222849 Lavoie Sep 2008 A1
20080239064 Iwasaki Oct 2008 A1
20080246656 Ghazarian Oct 2008 A1
20080266118 Pierson et al. Oct 2008 A1
20080307435 Rehman Dec 2008 A1
20080316314 Bedell et al. Dec 2008 A1
20090002491 Haler Jan 2009 A1
20090002556 Manapragada et al. Jan 2009 A1
20090027499 Nicholl Jan 2009 A1
20090052685 Cilia et al. Feb 2009 A1
20090070820 Li Mar 2009 A1
20090085740 Klein et al. Apr 2009 A1
20090109292 Ennis Apr 2009 A1
20090122142 Shapley May 2009 A1
20090135007 Donovan et al. May 2009 A1
20090169068 Okamoto Jul 2009 A1
20090189981 Siann et al. Jul 2009 A1
20090195686 Shintani Aug 2009 A1
20090207252 Raghunath Aug 2009 A1
20090213204 Wong Aug 2009 A1
20090225189 Morin Sep 2009 A1
20090243794 Morrow Oct 2009 A1
20090251545 Shekarri et al. Oct 2009 A1
20090252486 Ross, Jr. et al. Oct 2009 A1
20090276708 Smith et al. Nov 2009 A1
20090294538 Wihlborg et al. Dec 2009 A1
20090324203 Wiklof Dec 2009 A1
20100045798 Sugimoto Feb 2010 A1
20100050734 Chou Mar 2010 A1
20100060747 Woodman Mar 2010 A1
20100097221 Kreiner et al. Apr 2010 A1
20100106707 Brown et al. Apr 2010 A1
20100118147 Dorneich et al. May 2010 A1
20100122435 Markham May 2010 A1
20100123779 Snyder et al. May 2010 A1
20100177193 Flores Jul 2010 A1
20100177891 Keidar et al. Jul 2010 A1
20100188201 Cook et al. Jul 2010 A1
20100191411 Cook et al. Jul 2010 A1
20100194885 Plaster Aug 2010 A1
20100217836 Rofougaran Aug 2010 A1
20100238009 Cook et al. Sep 2010 A1
20100238262 Kurtz et al. Sep 2010 A1
20100242076 Potesta et al. Sep 2010 A1
20100265331 Tanaka Oct 2010 A1
20100274816 Guzik Oct 2010 A1
20100287473 Recesso et al. Nov 2010 A1
20110006151 Beard Jan 2011 A1
20110018998 Guzik Jan 2011 A1
20110050904 Anderson Mar 2011 A1
20110069151 Orimoto Mar 2011 A1
20110084820 Walter et al. Apr 2011 A1
20110094003 Spiewak et al. Apr 2011 A1
20110098924 Baladeta et al. Apr 2011 A1
20110129151 Saito Jun 2011 A1
20110157759 Smith et al. Jun 2011 A1
20110187895 Cheng et al. Aug 2011 A1
20110261176 Monaghan, Sr. et al. Oct 2011 A1
20110281547 Cordero Nov 2011 A1
20110301971 Roesch et al. Dec 2011 A1
20110314401 Salisbury et al. Dec 2011 A1
20120038689 Ishii Feb 2012 A1
20120056722 Kawaguchi Mar 2012 A1
20120063736 Simmons et al. Mar 2012 A1
20120120258 Boutell et al. May 2012 A1
20120162436 Cordell et al. Jun 2012 A1
20120188345 Salow Jul 2012 A1
20120189286 Takayama et al. Jul 2012 A1
20120195574 Wallance Aug 2012 A1
20120230540 Calman et al. Sep 2012 A1
20120257320 Brundula et al. Oct 2012 A1
20120268259 Igel et al. Oct 2012 A1
20120276954 Kowalsky Nov 2012 A1
20130021153 Keays Jan 2013 A1
20130033610 Osborn Feb 2013 A1
20130035602 Gemer Feb 2013 A1
20130080836 Stergiou et al. Mar 2013 A1
20130096731 Tamari et al. Apr 2013 A1
20130125000 Flischhauser et al. May 2013 A1
20130148295 Minn et al. Jun 2013 A1
20130222640 Baek et al. Aug 2013 A1
20130225309 Bentley et al. Aug 2013 A1
20130285232 Sheth Oct 2013 A1
20130300563 Glaze Nov 2013 A1
20130343571 Lee Dec 2013 A1
20140037262 Sako Feb 2014 A1
20140049636 O'Donnell et al. Feb 2014 A1
20140092299 Phillips et al. Apr 2014 A1
20140094992 Lambert et al. Apr 2014 A1
20140098453 Brundula et al. Apr 2014 A1
20140140575 Wolf May 2014 A1
20140170602 Reed Jun 2014 A1
20140176750 Pajak Jun 2014 A1
20140192194 Bedell et al. Jul 2014 A1
20140195105 Lambert et al. Jul 2014 A1
20140195272 Sadiq et al. Jul 2014 A1
20140210625 Nemat-Nasser Jul 2014 A1
20140218544 Senot et al. Aug 2014 A1
20140227671 Olmstead et al. Aug 2014 A1
20140311215 Keays et al. Oct 2014 A1
20140341532 Marathe Nov 2014 A1
20140355951 Tabak Dec 2014 A1
20150050003 Ross et al. Feb 2015 A1
20150050345 Smyth et al. Feb 2015 A1
20150051502 Ross Feb 2015 A1
20150053776 Rose et al. Mar 2015 A1
20150078727 Ross et al. Mar 2015 A1
20150088335 Lambert et al. Mar 2015 A1
20150103246 Phillips et al. Apr 2015 A1
20150317368 Rhoads et al. Nov 2015 A1
20150332424 Kane et al. Nov 2015 A1
20150358549 Cho Dec 2015 A1
20160042767 Araya et al. Feb 2016 A1
20160104508 Chee et al. Apr 2016 A1
20160127695 Zhang et al. May 2016 A1
20160165192 Saatchi et al. Jun 2016 A1
20160364621 Hill et al. Dec 2016 A1
20170070659 Kievsky Mar 2017 A1
20170195636 Yokomitsu et al. Jul 2017 A1
20170230605 Han et al. Aug 2017 A1
20170237950 Araya et al. Aug 2017 A1
20170244884 Burtey Aug 2017 A1
20170277700 Davis et al. Sep 2017 A1
20170287523 Hodulik et al. Oct 2017 A1
20180023910 Kramer Jan 2018 A1
20180050800 Boykin et al. Feb 2018 A1
Foreign Referenced Citations (40)
Number Date Country
102010019451 Nov 2011 DE
2479993 Jul 2012 EP
2273624 Jun 1994 GB
2320389 May 1998 GB
2343252 May 2000 GB
2351055 Dec 2000 GB
2417151 Feb 2006 GB
2425427 Oct 2006 GB
2455885 Jul 2009 GB
2485804 May 2012 GB
20090923 Sep 2010 IE
294188 Sep 1993 JP
153298 Jun 1996 JP
198858 Jul 1997 JP
10076880 Mar 1998 JP
210395 Jul 1998 JP
2000137263 May 2000 JP
2005119631 May 2005 JP
20-0236817 Aug 2001 KR
1050897 Jul 2011 KR
2383915 Mar 2010 RU
107851 Aug 2011 RU
124780 Feb 2013 RU
9005076 May 1990 WO
9738526 Oct 1997 WO
9831146 Jul 1998 WO
9948308 Sep 1999 WO
0039556 Jul 2000 WO
0051360 Aug 2000 WO
0123214 Apr 2001 WO
0249881 Jun 2002 WO
02095757 Nov 2002 WO
03049446 Jun 2003 WO
2004036926 Apr 2004 WO
2009013526 Jan 2009 WO
2011001180 Jan 2011 WO
2012037139 Mar 2012 WO
2012120083 Sep 2012 WO
2014000161 Jan 2014 WO
2014052898 Apr 2014 WO
Non-Patent Literature Citations (97)
Entry
Automation Systems Article, Know-How Bank Co. Ltd. Takes Leap Forward as a Company Specializing in R&D and Technology Consulting, published Jan. 2005.
Car Rear View Camera—Multimedia Rear View Mirror—4′ LCD color monitor, Retrieved from the Internet: <URL: http://web.archive.org/web/20050209014751/http://laipac.com/multimedia-rear-mirror.htm>, Feb. 9, 2005.
ATC Chameleon. Techdad Review [Online] Jun. 19, 2013 [Retrieved on Dec. 30, 2015]. Retrieved from Internet. <URL:http://www.techdadreview.com/2013/06/19atc-chameleon/>.
“Breathalyzer.” Wikipedia. Printed Date: Oct. 16, 2014; Date Page Last Modified: Sep. 14, 2014; <http://en.wikipedia.org/wiki/Breathalyzer>.
Dees, Tim; Taser Axon Flex: The next generation of body camera; <http://www.policeone.com/police-products/body-cameras/articles/527231-0-TASER-Axon-Flex-The-next-generation-of-body-camera/>, Date Posted: Mar. 12, 2012; Date Printed: Oct. 27, 2015.
Brown, TP-LINK TL-WDR3500 Wireless N600 Router Review, Mar. 6, 2013.
Controller Area Network (CAN) Overview, National Instruments White Paper, Aug. 1, 2014.
Daskam, Samuel W., Law Enforcement Armed Robbery Alarm System Utilizing Recorded Voice Addresses via Police Radio Channels, Source: Univ. of Ky, Off of Res and Eng., Serv (UKY BU107), pp. 18-22, 1975.
Digital Ally vs. Taser International, Inc., Case No. 2:16-cv-232 (CJM/TJ); US D. Kan, Defendant Taser International Inc.'s Preliminary Invalidity Contentions, Jul. 5, 2016.
Electronic Times Article, published Feb. 24, 2005.
Supplementary European Search Report dated Sep. 28, 2010 in European Patent Application No. 06803645.8; Applicant: Digital Ally, Inc.
W. Fincham, Data Recorders for Accident Investigation, Monitoring of Driver and Vehicle Performance (Digest No. 1997/122), Publication Date: Apr. 10, 1997, pp. 6/1-6/3.
Frankel, Harry; Riter, Stephen, Bernat, Andrew, Automated Imaging System for Border Control, Source: University of Kentucky, Office of Engineering Services, (Bulletin) UKY BU, pp. 169-173, Aug. 1986.
Freudenrich, Craig, Ph.D.; “How Breathalyzers Work—Why Test?.” HowStuff Works. Printed Date: Oct. 16, 2014; Posted Date: Unknown; <http://electronics.howstuffworks.com/gadgets/automotive/breathalyzer1.htm>.
Hankyung Auto News Article, Know-How Bank's Black Box for Cars “Multi-Black Box,” Copyright 2005.
Guide to Bluetooth Security: Recommendations of the National Institute of Standards and Technology, National Institute of Standards and Technology, U.S. Dep't of Commerce, NIST Special Publication 800-121, Revision 1 (Jun. 2012).
ICOP Extreme Wireless Mic, Operation Supplement, Copyright 2008.
ICOP Model 20/20-W Specifications; Enhanced Digital In-Car Video and Audio recording Systems, date: Unknown.
ICOP Mobile DVRS; ICOP Model 20/20-W & ICOP 20/20 Vision, date: Unknown.
Bertomen, Lindsey J., PoliceOne.com News; “Product Review: ICOP Model 20/20-W,” May 19, 2009.
ICOP Raytheon JPS communications, Raytheon Model 20/20-W, Raytheon 20120 Vision Digital In-Car Video Systems, date: Unknown.
Overview of the IEEE 802.15.4 standards for Low rate Wireless Personal Area Networks, 2010 7th International Symposium on Wireless Communication Systems (ISWCS), Copyright 2010.
Lewis, S.R., Future System Specifications for Traffic Enforcement Equipment, S.R. 1 Source: IEE Colloquium (Digest), N 252, Publication Date: Nov. 18, 1996, pp. 8/1-8/2.
Kopin Corporation; Home Page; Printed Date: Oct. 16, 2014; Posted Date: Unknown; <http://www.kopin.com>.
Translation of Korean Patent No. 10-1050897, published Jul. 20, 2011.
Lilliput RV 18-50NP 5″ Rear View Mirror TFT LCD Screen with Camera, Retrieved from the Internet: <URL: http://www.case-mod.com/lilliput-rv1850np-rear-view-mirror-tft-lcd-screen-with-camera-p-1271.html>, Mar. 4, 2005.
Motor Magazine Article, Recreating the Scene of an Accident, published 2005.
New Rearview-Mirror-Based Camera Display Takes the Guesswork Out of Backing Up Retrieved from the Internet: <URL: httb://news.thomasnet.com/fullstory/497750>, Press Release, Oct. 30, 2006.
SIIF Award for Multi Black Box, published Dec. 10, 2004.
Near Field Communication; Sony Corporation; pp. 1-7, Date: Unknown.
Oregon Scientific ATC Chameleon Dual Lens HD Action Camera, http://www.oregonscientificstore.com/Oregon-Scientific-ATC-Chameleon-Dual-Lens-HD-Action-Camera.data, Date Posted: Unknown; Date Printed: Oct. 13, 2014, pp. 1-4.
“Stalker Press Room—Using In-Car Video, the Internet, and the Cloud to keep police officers safe is the subject of CopTrax live, free webinar.” Stalker. Printed Date: Oct. 16, 2014; Posted Date: Jul. 31, 2014.
State of Utah Invitation to Bid State Cooperative Contract; Vendor: ICOP Digital, Inc., Contract No. MA503, Jul. 1, 2008.
Wasson, Brian; “Digital Eyewear for Law Enforcement.” Printed Date: Oct. 16, 2014; Posted Date: Dec. 9, 2013; <http://www.wassom.com/digital-eyewear-for-law-enforcement.html>.
X26 Taser, Date Unknown.
Taser International; Taser X26 Specification Sheet, 2003.
Digital Ally First Vu Mountable Digital Camera Video Recorder, http://www.opticsplanet.com/digital-ally-first-vu-mountable-digital-camera-video-recorder.html?gclid=CIKohcX05rkCFSIo7AodU0IA0g&ef_id=UjCGEAAAAWGEjrQF:20130925155534:s, Sep. 25, 2013, Date Posted: Unknown, pp. 1-4.
Drift X170, http://driftinnovation.com/support/firmware-update/x170/, Sep. 26, 2013, Date Posted: Unknown, p. 1.
Dyna Spy Inc. hidden cameras, https://www.dynaspy.com/hidden-cameras/spy-cameras/body-worn-wearable-spy-cameras, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
Ecplaza HY-001HD law enforcement DVR, http://fireeye.en.ecplaza.net/law-enforcement-dvr--238185-1619696.html, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
Edesix VideoBadge, http://www.edesix.com/edesix-products, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
GoPro Official Website: The World's Most Versatile Camera, http://gopro.com/products/?gclid=CKqHv9jT4rkCFWZk7AodyiAAaQ, Sep. 23, 2013, Date Posted: Unknown, pp. 4-9.
Isaw Advance Hull HD EXtreme, www.isawcam.co.kr, Sep. 26, 2013, Date Posted: Unknown, p. 1.
Kustom Signals VieVu, http://www.kustomsignals.com/index.php/mvideo/vievu, Sep. 26, 2013, Date Posted: Unknown, pp. 1-4.
Lea-Aid Scorpion Micro Recorder Patrol kit,http://www.leacorp.com/products/SCORPION-Micro-Recorder-Patrol-kit.html, Sep. 26, 2013, Date Posted: Unknown, pp. 1-2.
Looxcie Wearable & mountable streaming video cams, http://www.looxcie.com/overview?gclid=CPbDyv6piq8CFWeFQAodlhXC-w, Sep. 26, 2013, Date Posted: Unknown, pp. 1-4.
Midland XTC HD Video Camera, http://midlandradio.com/Company/xtc100-signup, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
Panasonic Handheld AVCCAM HD Recorder/Player, http://www.panasonic.com/business/provideo/ag-hmr10.asp, Sep. 26, 2013, Date Posted: Unknown, pp. 1-2.
Notification of Transmittal of the International Search Report and the Written Opinion of the International Search Authority, or the Declaration dated Jan. 30, 2014, International Application No. PCT/US2013/062415; International Filing dated Sep. 27, 2013, Applicant: Digital Ally, Inc.
Point of View Cameras Military & Police, http://pointofviewcameras.com/military-police, Sep. 26, 2013, Date Posted: Unknown, pp. 1-2.
POV.HD System Digital Video Camera, http://www.vio-pov.com/index.php, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
SIV Security in Vehicle Driving Partner, http://www.siv.co.kr/, Sep. 26, 2013, Date Posted: Unknown, p. 1.
Spy Chest Mini Spy Camera / Self Contained Mini camcorder / Audio & Video Recorder, http://www.spytechs.com/spy_cameras/mini-spy-camera.htm, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
Stalker VUE Law Enforcement Grade Body Worn Video Camera/Recorder, http://www.stalkerradar.com/law_vue.shtml, Sep. 26, 2013, Date Posted: Unknown, pp. 1-2.
SUV Cam, http://www.elmo.co.jp/suv-cam/en/product/index.html, Sep. 26, 2013, Date Posted: Unknown, p. 1.
TASER AXON Body On Officer Video/Police Body Camera, http://www.taser.com/products/on-officer-video/axon-body-on-officer-video, Sep. 23, 2013, Date Posted: Unknown, pp. 1-8.
TASER AXON Flex On-Officer Video/Police Video Camera, http://www.taser.com/products/on-officer-video/taser-axon, Sep. 26, 2013, Date Posted: Unknown, pp. 1-8.
Taser Cam Law Enforcement Audio/Video Recorder (gun mounted), http://www.taser.com/products/on-officer-video/taser-cam, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
Tide Leader police body worn camera, http://tideleader.en.gongchang.com/product/14899076, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
UCorder Pockito Wearable Mini Pocket Camcorder, http://www.ucorder.com/, Sep. 26, 2013, Date Posted: Unknown, p. 1.
Veho MUVI HD, http://veho-uk.fastnet.co.uk/main/shop.aspx?category=CAMMUVIHD, Sep. 26, 2013, Date Posted: Unknown, pp. 1-5.
Veho MUVI portable wireless speaker with dock, http://veho-uk.fastnet.co.uk/main/shop.aspx?category=camcorder, Sep. 26, 2013, Date Posted: Unknown, p. 1.
Vidmic Officer Worn Video & Radio Accessories, http://www.vidmic.com/, Sep. 26, 2013, Date Posted: Unknown, p. 1.
VIEVU Products, http://www.vievu.com/vievu-products/vievu-squared/, Sep. 25, 2013, Date Posted: Unknown, pp. 1-2.
WatchGuard CopVu Wearable Video Camera System, http://watchguardvideo.com/copvu/overview, Sep. 26, 2013, Date Posted: Unknown, pp. 1-2.
Witness Cam headset, http://www.secgru.com/DVR-Witness-Cam-Headset-Video-Recorder-SG-DVR-1-COP.html, Sep. 26, 2013, Date Posted: Unknown, pp. 1-2.
WolfCom 3rd Eye, X1 A/V Recorder for Police and Military, http://wolfcomusa.com/Products/Products.html, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
Notification of Transmittal of the International Search Report and the Written Opinion of the International Search Authority, or the Declaration dated Jan. 14, 2016, International Application No. PCT/US2015/056039; International Filing date Oct. 16, 2015, Applicant: Digital Ally, Inc.
U.S. Appl. No. 13/959,142 Final Office Action dated Jul. 20, 2016.
U.S. Appl. No. 13/959,142 Office Action dated Nov. 3, 2015.
Petition for Inter Partes Review No. 2017-00775, Taser International, Inc. v. Digital Ally Inc., filed Jan. 25, 2017.
International Association of Chiefs of Police Digital Video System Minimum Specifications; Nov. 21, 2008.
Petition for Inter Partes Review No. 2017-00375, Taser International, Inc. v. Digital Ally, Inc., filed Dec. 1, 2013.
Petition for Inter Partes Review No. 2017-00376, Taser International, Inc. v. Digital Ally, Inc., filed Dec. 1, 2013.
Petition for Inter Partes Review No. 2017-00515, Taser International, Inc. v. Digital Ally Inc., filed Jan. 11, 2017.
PCT Patent Application PCT/US16/34345 International Search Report and Written Opinion dated Dec. 29, 2016.
Digital Ally, Inc. vs. Taser International, Inc., Case No. 2:16-cv-020232 (CJM/TJ); US D. Kan, Complaint for Patent Infringement, Jan. 14, 2016.
Digital Ally, Inc. vs. Enforcement video LLC d/b/a Watchguard Video., Case No. 2:16-cv-02349 (CJM/TJ); US D. Kan, Complaint for Patent Infringement, May 27, 2016.
State of Utah Invitation to Bid State Cooperative Contract; Vendor: Kustom Signals Inc., Contract No. MA1991, Apr. 25, 2008.
PCT Patent Application PCT/US17/16383 International Search Report and Written Opinion dated May 4, 2017.
Invalidity Chart for International Publication No. WO2014/000161 Oct. 31, 2017.
Petition for Post Grant Review No. PGR2018-00052, Axon Enterprise, Inc. v. Digital Ally, Inc., filed Mar. 19, 2018.
MPEG-4 Coding of Moving Pictures and Audio ISO/IEC JTC1/SC29/WG11 N4668 dated Mar. 2002.
European Patent Application 15850436.6 Search Report dated May 4, 2018.
Final Written Decision for Inter Partes Review No. 2017-00375, Axon Enterprise Inc. v. Digital Ally, Inc., issued Jun. 1, 2018.
Decision Denying Institution of Post Grant Review for Post Grant Review No. PGR2018-00052, Axon Enterprise, Inc. v. Digital Ally, Inc., issued Oct. 1, 2018.
Asian Wolf High Quality Angel Eye Body Video Spy Camera Recorder System, http://www.asianwolf.com/covert-bodycam-hq-angeleye.html, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
Brick House Security Body Worn Cameras / Hidden Cameras / Covert Spy Cameras, http://www.brickhousesecurity.com/body-worn-covert-spy-cameras.html?sf=0#sortblock&CMPID=PD_Google_%22body+camera%22&utm_source=google&utm_medium=cpc&utm_term=%22body+camera%22&mm_campaign=876a94ea5dd198a8c5dc3d1e67eccb34&keyword=%22body+camera%.
Amazon.com wearable camcorders, http://www.amazon.com/s/ref=nb_sb_ss_i_0_4?url=search-alias%3Dphoto&field-keywords=wearable+camcorder&x=0&y=0&sprefix=wear, Sep. 26, 2013, Date Posted: Unknown, pp. 1-4.
Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration dated Feb. 4, 2016; International Application No. PCT/US2015/056052; International Filing Date: Oct. 16, 2015; Applicant: Digital Ally, Inc⋅.
http:/ /www.k-h-b.com/board/board.php?board=products01&comand=body&no=1, Current State of Technology Held by the Company, Copyright 2005.
City of Pomona Request for Proposals for Mobile Video Recording System for Police Vehicles, dated prior to Apr. 4, 2013.
http://www.k-h-b.com/sub1_02.html, Copyright 2005.
Renstrom, Joell; “Tiny 3D Projectors Allow You to Transmit Holograms From a Cell Phone.” Giant Freakin Robot. Printed Date: Oct. 16, 2014; Posted Date: Jun. 13, 2014; <http://www.giantfreakinrobot.com/sci/coming-3d-projectors-transmit-holograms-cell-phone.html>.
Request for Comment 1323 of the Internet Engineering Task Force, TCP Extensions for High Performance, Date: May 1992.
RevealMedia RS3-SX high definition video recorder, http://www.revealmedia.com/buy-t166/cameras/rs3-sx.aspx, Sep. 26, 2013, Date Posted: Unknown, pp. 1-2.
Scorpion Micro DV Video Audio Recorder, http://www.leacorp.com/scorpion-micro-dv-video-audio-recorder/, Sep. 26, 2013, Date Posted: Unknown, pp. 1-3.
Related Publications (1)
Number Date Country
20180082142 A1 Mar 2018 US