Computer systems and related technology affect many aspects of society. Indeed, the computer system's ability to process information has transformed the way we live and work. Computer systems now commonly perform a host of tasks (e.g., word processing, scheduling, accounting, etc.) that prior to the advent of the computer system were performed manually. More recently, computer systems have been coupled to one another and to other electronic devices to form both wired and wireless computer networks over which the computer systems and other electronic devices can transfer electronic data.
For instance, cameras and other security equipment (e.g., motion sensors, alarms, locks, lights, and so forth) may be configured to communicate with other computer systems that allow for displaying and/or interacting with such equipment. In a specific example, businesses and individuals often utilize a video management system (VMS) that can provide management of multiple security devices located on a site that the businesses or individuals may desire to monitor. Where a camera may not technically be configured to provide video image data, such existing video management systems may not be capable of accepting such image data for display.
The subject matter claimed herein is not limited to embodiments that solve any disadvantages or that operate only in environments such as those described above. Rather, this background is only provided to illustrate one exemplary technology area where some embodiments described herein may be practiced.
At least some embodiments described herein relate to generating panoramic video viewable at a third-party video management system. For example, embodiments may include receiving image data captured by at least one camera. The received image data may be captured at a plurality of angles (e.g., stop positions) associated with a single axis (e.g., about which the camera rotates). Embodiments may optionally include analyzing the received image data and based on the received image data (and/or analysis thereof), generating panoramic video associated with the captured image data. Embodiments may further include, generating a single video stream of the generated panoramic video, and sending the single generated video stream to a third-party video management system, which it can accept for display and other use.
Accordingly, the principles described herein may allow individuals/businesses to better integrate a camera system that generates still images, rather than actual video images (for display in existing third party VMS systems), to utilize legacy equipment (and/or new equipment), while eliminating blind spots, potentially adding advanced analysis and use of images/video captured by on-site cameras, and minimizing licensing fees associated with use of video management systems, as further described herein. In particular, existing (and/or new) cameras (e.g., thermal imaging cameras, standard visible spectrum cameras, and so forth) may be placed in an array and then used to generate panoramic images that minimize and/or eliminate blind spots of a location of the cameras. In addition to generating panoramic video/images, other analyses may be performed with respect to images/video captured by such cameras that allow for determining when events (e.g., intruders, fires, and so forth) have occurred. Even where captured images (e.g., still images from a thermal camera) are not in video form, these images may be converted to a single video stream and sent as a single video stream with any other relevant data to the VMS, in any appropriate standard, thus allowing display of the video stream by the VMS. In addition, because all this data (e.g., including a virtual panoramic video image) is sent as a single video stream to the VMS, only a single licensing fee from the VMS provider is required (despite the fact that the single video stream actually includes and displays numerous virtual camera positions, as well as various other analytical data).
Such functionality may be provided in the form of an integration appliance, e.g., which receives the image data from the camera(s), corresponding to various camera positions, optionally analyzes the received data, and generates a single video stream as an output that is an acceptable input to the third party VMS system (e.g., an Real Time Streaming Protocol “RTSP” stream).
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 as an aid in determining the scope of the claimed subject matter.
In order to describe the manner in which the above-recited and other advantages and features of the invention can be obtained, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered to be limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.
I. Definitions
Before describing the present invention in detail, it is to be understood that this invention is not limited to particularly exemplified systems or parameters that may, of course, vary. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments of the invention only, and is not intended to limit the scope of the invention in any manner.
All publications, patents and patent applications cited herein, whether supra or infra, are hereby incorporated by reference in their entirety to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated by reference.
It must be noted that, as used in this specification and the appended claims, the singular forms “a,” “an” and “the” include plural referents unless the content clearly dictates otherwise.
Unless otherwise stated, all percentages, ratios, parts, and amounts used and described herein are by weight.
Numbers, percentages, ratios, or other values stated herein may include that value, and also other values that are about or approximately the stated value, as would be appreciated by one of ordinary skill in the art. A stated value should therefore be interpreted broadly enough to encompass values that are at least close enough to the stated value to perform a desired function or achieve a desired result, and/or values that round to the stated value. The stated values include at least the variation to be expected in a typical formulation process. Furthermore, the terms “substantially”, “similarly”, “about” or “approximately” as used herein represent an amount or state close to the stated amount or state that still performs a desired function or achieves a desired result.
Some ranges may be disclosed herein. Additional ranges may be defined between any values disclosed herein as being exemplary of a particular parameter. All such ranges are contemplated and within the scope of the present disclosure.
All numbers used in the specification and claims are to be understood as being modified in all instances by the term “about”. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the subject matter presented herein are approximations, the numerical values set forth in the specific examples are reported as precisely as possible. Any measured numerical value, however, inherently contains certain errors necessarily resulting from the standard deviation found in their respective testing measurements.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although a number of methods and materials similar or equivalent to those described herein can be used in the practice of the present invention, the preferred materials and methods are described herein.
II. Introduction
At least some embodiments described herein relate to generating panoramic video viewable at a third-party video management system (VMS). For example, embodiments may include receiving image data (non-video, still images) captured by at least one camera. The received image data may be captured at a plurality of angles associated with a single axis. For example, it may be captured by a single camera that rotates through a plurality of camera stop positions, capturing a still image at each stop position as it rotates through the stops arranged around the single axis about which the camera rotates. For example, such a single camera may be positioned above the ground (e.g., elevated 15 to 200 feet, or more typically 15 to 50 feet above the ground, e.g., on a tower so as to monitor the area (e.g., a 360° circular area) surrounding the camera position. As the camera rotates through the various stop positions, taking still images at each stop position, a virtual video surveillance can result, where the still images are displayed or otherwise analyzed sequentially (one revolution of the camera to the next). Such images may thus provide a relatively low frame rate virtual video surveillance from the single axis, at each camera stop position.
Additional details of such systems are disclosed in Applicant's previous patents and applications, e.g., including U.S. Pat. Nos. 8,773,503, 98,685,896, 9,390,604, 9,348,196, 9,516,208, 9,886,776, and application Ser. Nos. 15/159,523 and 15/562,798, each of which is herein incorporated by reference in its entirety.
While such images provide something of a virtual video surveillance, across a panorama, the frame rate from one still image to the next is typically relatively low (e.g., one every ˜2 seconds), and such image data is not readily accepted for display by existing VMS systems (e.g., which require an RTSP or similar standardized video stream). The present invention provides systems and methods allowing such image data to be fed into and displayed by a conventional VMS, e.g., implemented within an integration appliance that is provided between the camera system and the VMS.
Embodiments may include receiving and optionally analyzing the received image data (e.g., non-video still images) and based on the received image data, generating virtual panoramic video associated with the captured image data. Embodiments may further include generating a single video stream of the generated “virtual” panoramic video, and sending the single generated video stream to a third-party VMS. The video stream may be usable by the VMS for displaying the generated “virtual” panoramic video. The image may actually be panoramic (rather than simply virtual panoramic, if desired). The term panoramic may be used herein for simplicity, although it will be appreciated that in at least some embodiments, the image is only virtually panoramic.
The generated and displayed panoramic video may be described as “virtual”, because in at least some embodiments, no stitching of adjacent still images may actually be performed. For example, rather, the generated virtual panoramic video may simply display adjacent still images, adjacent to one another (e.g., they even may be separated from one another by a “box”, making it clear with stop position is which). Because they are positioned and displayed adjacent to one another, the result is virtually that of a panorama image. In an embodiment, 180° of the panorama may be displayed in one horizontal panorama, while the remaining 180° may be displayed in another horizontal panorama. Other images and information may also be displayed in the single video stream that is generated, and fed to the VMS.
Accordingly, the principles described herein may allow individuals/businesses to integrate such a spinning thermal image surveillance camera that captures still images at a plurality of stop positions, along with legacy equipment (and/or new equipment) (e.g., pan/tilt/zoom “PTZ” cameras—typically visible spectrum PTZ cameras), while eliminating blind spots, optionally adding advanced analysis and use of images/video captured by on-site cameras, and minimizing licensing fees associated with use of video management systems, as further described herein. In particular, existing (and/or new) cameras (e.g., thermal imaging cameras, standard visible spectrum cameras, and so forth) may be placed in an array in desired locations so as to monitor the desired site, and image and other data therefrom may be collected and analyzed to generate virtual panoramic images that minimize and/or eliminate blind spots of a location of the cameras. In an embodiment, the PTZ camera may be mounted with the rotating thermal imaging camera, e.g., on substantially the same axis about which the thermal camera rotates. Such a PTZ camera may actually capture video images, rather than still images. The video of the PTZ camera can be integrated by the integration appliance into the single video feed that is fed to the VMS for display.
In addition to generating panoramic video/images, other analyses may be performed with respect to images/video captured by such cameras that allow for determining when events (e.g., intruders, fires, and so forth) have occurred. Panoramic video/images, event detection, and any other relevant data may then be sent in a single video stream to a video management system in any appropriate standard, thus allowing display of the video stream by the video management system, as well as a single licensing fee to the video management system based on only a single video stream (despite utilizing various kinds of data associated with a plurality of cameras).
Some introductory discussion of a computing system will be described with respect to
III. Computing Systems
Computing systems are now increasingly taking a wide variety of forms. Computing systems may, for example, be handheld devices, appliances, laptop computers, desktop computers, mainframes, distributed computing systems, datacenters, or even devices that have not conventionally been considered a computing system, such as wearables (e.g., glasses). In this description and in the claims, the term “computing system” is defined broadly as including any device or system (or combination thereof) that includes at least one physical and tangible processor, and a physical and tangible memory capable of having thereon computer-executable instructions that may be executed by a processor. The memory may take any form and may depend on the nature and form of the computing system. A computing system may be distributed over a network environment and may include multiple constituent computing systems.
As illustrated in
The computing system 100 also has thereon multiple structures often referred to as an “executable component”. For instance, the memory 104 of the computing system 100 is illustrated as including executable component 106. The term “executable component” is the name for a structure that is well understood to one of ordinary skill in the art in the field of computing as being a structure that can be software, hardware, or a combination thereof. For instance, when implemented in software, one of ordinary skill in the art would understand that the structure of an executable component may include software objects, routines, methods, and so forth, that may be executed on the computing system, whether such an executable component exists in the heap of a computing system, or whether the executable component exists on computer-readable storage media.
In such a case, one of ordinary skill in the art will recognize that the structure of the executable component exists on a computer-readable medium such that, when interpreted by one or more processors of a computing system (e.g., by a processor thread), the computing system is caused to perform a function. Such structure may be computer-readable directly by the processors (as is the case if the executable component were binary). Alternatively, the structure may be structured to be interpretable and/or compiled (whether in a single stage or in multiple stages) so as to generate such binary that is directly interpretable by the processors. Such an understanding of example structures of an executable component is well within the understanding of one of ordinary skill in the art of computing when using the term “executable component”.
The term “executable component” is also well understood by one of ordinary skill as including structures that are implemented exclusively or near-exclusively in hardware, such as within a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), or any other specialized circuit. Accordingly, the term “executable component” is a term for a structure that is well understood by those of ordinary skill in the art of computing, whether implemented in software, hardware, or a combination. In this description, the terms “component”, “service”, “engine”, “module”, “control”, or the like may also be used. As used in this description and in the case, these terms (whether expressed with or without a modifying clause) are also intended to be synonymous with the term “executable component”, and thus also have a structure that is well understood by those of ordinary skill in the art of computing.
In the description that follows, embodiments are described with reference to acts that are performed by one or more computing systems. If such acts are implemented in software, one or more processors (of the associated computing system that performs the act) direct the operation of the computing system in response to having executed computer-executable instructions that constitute an executable component. For example, such computer-executable instructions may be embodied on one or more computer-readable media that form a computer program product. An example of such an operation involves the manipulation of data.
The computer-executable instructions (and the manipulated data) may be stored in the memory 104 of the computing system 100. Computing system 100 may also contain communication channels 108 that allow the computing system 100 to communicate with other computing systems over, for example, network 110.
While not all computing systems require a user interface, in some embodiments, the computing system 100 includes a user interface 112 for use in interfacing with a user. The user interface 112 may include output mechanisms 112A as well as input mechanisms 112B. The principles described herein are not limited to the precise output mechanisms 112A or input mechanisms 112B as such will depend on the nature of the device. However, output mechanisms 112A might include, for instance, speakers, displays, tactile output, holograms and so forth. Examples of input mechanisms 112B might include, for instance, microphones, touchscreens, holograms, cameras, keyboards, mouse of other pointer input, sensors of any type, and so forth.
Embodiments described herein may comprise or utilize a special purpose or general-purpose computing system including computer hardware, such as, for example, one or more processors and system memory, as discussed in greater detail below. Embodiments described herein also include physical and other computer-readable media for carrying or storing computer-executable instructions and/or data structures. Such computer-readable media can be any available media that can be accessed by a general purpose or special purpose computing system. Computer-readable media that store computer-executable instructions are physical storage media. Computer-readable media that carry computer-executable instructions are transmission media. Thus, by way of example, and not limitation, embodiments of the invention can comprise at least two distinctly different kinds of computer-readable media: storage media and transmission media.
Computer-readable storage media includes RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other physical and tangible storage medium which can be used to store desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general purpose or special purpose computing system.
A “network” is defined as one or more data links that enable the transport of electronic data between computing systems and/or modules and/or other electronic devices. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or a combination of hardwired or wireless) to a computing system, the computing system properly views the connection as a transmission medium. Transmissions media can include a network and/or data links which can be used to carry desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general purpose or special purpose computing system. Combinations of the above should also be included within the scope of computer-readable media.
Further, upon reaching various computing system components, program code means in the form of computer-executable instructions or data structures can be transferred automatically from transmission media to storage media (or vice versa). For example, computer-executable instructions or data structures received over a network or data link can be buffered in RAM within a network interface module (e.g., a “NIC”), and then eventually transferred to computing system RAM and/or to less volatile storage media at a computing system. Thus, it should be understood that storage media can be included in computing system components that also (or even primarily) utilize transmission media.
Computer-executable instructions comprise, for example, instructions and data which, when executed at a processor, cause a general purpose computing system, special purpose computing system, or special purpose processing device to perform a certain function or group of functions. Alternatively, or in addition, the computer-executable instructions may configure the computing system to perform a certain function or group of functions. The computer executable instructions may be, for example, binaries or even instructions that undergo some translation (such as compilation) before direct execution by the processors, such as intermediate format instructions such as assembly language, or even source code.
Those skilled in the art will appreciate that the invention may be practiced in network computing environments with many types of computing system configurations, including, personal computers, desktop computers, laptop computers, message processors, hand-held devices, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile telephones, PDAs, pagers, routers, switches, datacenters, wearables (such as glasses) and the like. The invention may also be practiced in distributed system environments where local and remote computing systems, which are linked (either by hardwired data links, wireless data links, or by a combination of hardwired and wireless data links) through a network, both perform tasks. In a distributed system environment, program modules may be located in both local and remote memory storage devices.
Those skilled in the art will also appreciate that the invention may be practiced in a cloud computing environment. Cloud computing environments may be distributed, although this is not required. When distributed, cloud computing environments may be distributed internationally within an organization and/or have components possessed across multiple organizations. In this description and the following claims, “cloud computing” is defined as a model for enabling on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services). The definition of “cloud computing” is not limited to any of the other numerous advantages that can be obtained from such a model when properly deployed.
IV. Integration Appliances
Furthermore, many of these individuals have legacy equipment (e.g., older cameras that are already owned by an individual/business) that would be very expensive to replace, and which otherwise work fine. In addition, such legacy equipment may often be placed in various locations at a site of the individuals/businesses such that there are one or more blind spots (i.e., locations within a site that are not visible through a camera) and detection is avoidable by intruders. Accordingly, the principles described herein may allow these individuals/businesses to utilize legacy equipment, e.g., in combination with a rotating thermal image camera such as that available from Applicant, so as to better eliminate blind spots, optionally add advanced analysis and use of images/video captured by on-site cameras, and minimizing licensing fees associated with use of video management systems, as further described herein.
Returning to
In some embodiments, such one or more cameras 210 or camera positions 210 may be placed in an array, as further shown in
Additionally, the placement or orientation of the camera stop positions 310 may also allow for later stitching of captured images/video to generate panoramic images/video utilizing captured image data from each of the camera stop positions 310.
As illustrated, the environment 200 also includes a video analytics computer system 220 (i.e., the integration appliance) that may be capable of performing various analytics and enhancements (e.g., stitching together or adjacent positioning of multiple captured camera still images into a panoramic or “virtual” panoramic image) System 220 is also capable of generating a single video stream from the input data, and transmitting video, images, and associated user interface(s) to the video management system 240, all as a single video stream, as further described herein. The video analytics computer system may correspond to the computer system 100, as described with respect to
As shown, the video analytics computer system 220 may include various engines, functional blocks, and components, including communications engine 222, panoramic generation engine 224, monitoring engine 226, location engine 228, and video generation engine 230. The various engines, components, and/or functional blocks of the step length analysis computer system 220 may be implemented on a local computer system or may be implemented on a distributed computer system that includes elements resident in the cloud or that implement aspects of cloud computing (i.e., at least one of the various illustrated engines may be implemented locally, while at least one other engine may be implemented remotely). In addition, the various engines, functional blocks, and/or components of the video analytics computer system 220 may be implemented as software, hardware, or a combination of software and hardware.
Notably, the configuration of video analytics computer system 220 illustrated in
As illustrated, the video analytics computer system 220 includes communications engine 222, panoramic generation engine 224, monitoring engine 226, location engine 228, and video generation engine 230. The communications engine 220 may be configured to communicate (i.e., transmit and/or received data) with both the cameras 210 and the video managements system 240. For instance, the communications engine 222 may be configured to receive captured images (e.g., thermal camera still images) from the camera that rotates through a plurality of camera positions (e.g., 210A), as well as other cameras of 210 (e.g., a PTZ camera 210B). Additionally, the communications engine 222 may be capable of sending various types of data (e.g., video data, alarm data, intruder detection data, and so forth) to the video management system 240, as further described herein. Notably, in some embodiments, the communications engine 222 may also be configured to receive various types of data from the video management system 240.
The panoramic generation engine 224 may be configured to receive images captured by the cameras 210 and generate a panoramic image based on still images captured by the rotating thermal imaging camera. In addition, it may also integrate other camera feeds into the generated single video stream (e.g., displaying the PTZ camera feed with the generated virtual panorama).
The monitoring engine 226 may be configured to detect any intruders or changes that occur with respect to images captured by any of the plurality of cameras 210. For instance, the monitoring engine 226 may perform advanced analytics on images (e.g., sequential still images) provided by the cameras 210 and/or the panoramic generation engine 224 to provide intrusion detection (e.g., unauthorized individuals trespassing), animal migration, heat change detection, fire detection, drone detection, unauthorized movement in water ways, tripwire detection, and so forth.
Furthermore, the monitoring engine 226 may encode any applicable alerts associated with various detected events (e.g., intrusion detection, fire detection, and so forth) into any appropriate format (e.g., ONVIF) that is usable by the video management system 240. In some embodiments, such alerts may be sent to the video management system 240 over Hypertext Transfer Protocol (HTTP). In response to receiving such alerts from the monitoring engine 226 (and ultimately, the video analytics computer system 220), the video management system 240 may trigger any corresponding alarms, as further described herein.
The location engine 228 may be configured to utilize data detected by the monitoring engine 226 to generate location information associated with detected entities. For instance, upon detecting an event, the location engine may generate an image (e.g., a map image) that illustrates a location of the detected event within a map of the location of the cameras 210. For instance,
In an example, one or more of the cameras 210 or other system components on site with the camera may include a Global Positioning System (GPS) device that may allow for determining a position of a detected event that can be used to plot points on a map associated with a location of the detected event. Notably, in some embodiments, such a map may include a “radar” with a sweeping mechanism that includes a line traveling from the center of the map (where the rotating thermal image camera is located) to the perimeter of the map in a clockwise or counter-clockwise direction (i.e., similar to the second hand of a watch). Such a sweeping line may indicate at which stop position the camera is currently pointed. Where the system also includes a conventional PTZ camera, the system may be configured to cause the PTZ camera to automatically move so as to be centered on and monitor the location where any detected event has occurred. The PTZ camera feed may be integrated into the single video stream output by the integration appliance. Additionally, the map may provide zoom capabilities that allow an individual to zoom-in or zoom-out of the map, or of course to zoom in with the PTZ camera. In this way, the location engine 228 may provide a scalable bird's eye display that shows activity surrounding the cameras 210. Panorama or virtual panorama images may be displayed with such a birds eye view map (e.g., 180° above, and 180° below, as in
The video generation engine 230 may be configured to generate a video stream that both includes one or more of virtual panoramic video images, event detection, maps, PTZ camera feed, and so forth, and is usable by the video management system 240, as further described herein. For instance, as illustrated in
As illustrated, the video stream 500 further includes a middle portion 520 that is configured to show a view illustrated with a particular camera of the plurality of cameras providing the images associated with portion 510A and portion 510B (or another camera entirely—e.g., a separate PTZ visible spectrum “color” camera). In some embodiments, the portion 520 may periodically cycle through captured video/images of each camera providing captured video/images, or it may highlight an area where some event (e.g., an intruder) has been detected. Video portion 530 may focus on captured video/images associated with detected events and may further describe the event with text (e.g., type of event and location of the event). Notably, the portion 520 and/or the view 530 may each periodically cycle through captured video/images of each of the plurality of cameras or camera positions (e.g., the camera positions 310) or may focus on areas where events have been detected (e.g., intruders, fire, and so forth).
Accordingly, the video generation engine 230 may also encode such video/images (e.g., video stream 500), any other information generated by the video analytics computer system, into a single video stream using any appropriate standard. In an example, the video generation engine may encode still image or video data (e.g., panoramic image data generated by the panoramic generation engine, map/location data generated by the location engine, and so forth) into a single Real Time Streaming Protocol (RTSP) video stream that is usable by the video management system 240 for presenting the video stream. In some embodiments, the video generation engine queues up each frame of video into a video rendering stack. The video rendering stack may then allow for encoding the frame one or more times as part of a continuous video stream using a standard codec (e.g., MP4, H.264, and so forth). The frame may then be repeated in order to meet any corresponding frame rate utilized by the video management system 240 (e.g., such as 30 fps, 60 fps, or the like).
As briefly described, video management systems (e.g., AVIGILON, AXXONSOFT, EXCAQVISION, GENETEC, GEOVISION, MILESTONE, and so forth) are commonly used to provide management of multiple video security devices (e.g., video cameras, alarms, motion sensors, lights, locks, and so forth). As such, video management systems may include a user interface 242 that shows video associated with each of a plurality of video cameras fed to such VMS, for example.
As illustrated, the video management system 240 may also include peripheral devices 244. For instance, such peripheral devices may include additional cameras or types of cameras (e.g., visible spectrum “color” cameras capable of facial recognition, thermal imaging cameras, and so forth), motion detectors, lights, locks, and so forth. The video management system may further be configured to utilize these devices and allow control thereof in conjunction with each other by locking doors/gates, turning on/off lights, turning on/off alarms, and so forth in response to detecting particular events (e.g., detecting motion).
Notably, the video analytics computer system 220 may be configured to add additional functionality to the cameras, user interface, and other peripheral devices of the video management system 240. For instance, regardless of the layout of the video stream 500, the video stream 500 may be provided as a video stream (i.e., as further described with respect to the video generation engine 230 of
Notably, while the video stream 500 is shown as being displayed within the video feed 610A of the video management system 240, the video stream 500 may be displayed within any given video feed 610 of the video management system. Additionally, while only one video stream is illustrated in
In addition to the video stream 500, the video analytics computer system 220 may also send any other applicable data and/or metadata to the video management system 240. For instance, alert data using any applicable standard may be sent to the video management system. The video management system may then have rules in place associated with a response to receiving such data (e.g., sound an alarm, turn on/off particular lights, lock/unlock particular doors or gates, and so forth). In another example, the video analytics engine may send location information associated with detected events, event information associated with particular types (e.g., intruder, fire, and so forth) of events, and so forth. Such information may be displayed within the single video feed associated with “window” 610A, or in another “window” (610B-610F).
The video analytics computer system may further be configured to communicate directly with any number of peripheral devices (e.g., cameras, alarms, lights, motion detector, locks, and so forth). In an example, the video analytics computer system may communicate directly with a PTZ camera in a particular location when an event in the particular location has been detected by the video analytics computer system. In such cases, the video analytics computer system may then communicate to the PTZ camera where the event is occurring such that the PTZ camera can pan, tilt, or zoom in a proper direction to be able to capture images/video (and/or perform any other analysis, such as facial recognition) associated with the detected event. Similar communications may be sent directly to particular alarms, lights, locks, and so forth, such that these peripheral devices may be fully utilized in response to a detected event.
Notably, a hardware portion of the video analytics computer system may support hardware encoding of video streams, as well as expansion slots to allow additional video encoding hardware to be added to support multiple video streams. In some embodiments, such video stream may comprise a 1080 resolution video wall in H.264 format. The hardware portion of the video analytics computer system may also include an ONVIF front end to facilitate discovering and adding the hardware portion of the video analytics computer system to an ONVIF-compliant video management system. In addition, the hardware portion of the video analytics computer system may provide a Hypertext Markup Language (HTML) interface that allows a user to configure/modify a layout of the video stream (e.g., the video stream 500) to be displayed at the video management system 240, types of data and metadata sent to the video management system, types of alarm/event detection data sent to the video management system, and so forth. the hardware portion of the video analytics computer system may provide another Hypertext Markup Language (HTML) interface that allows a user to add additional cameras (e.g., additional cameras to the cameras 210 or the cameras 310) that can then be used in providing panoramic images, event detection, and so forth. Accordingly, the video analytics computer system may provide a ready to install deployment of software and hardware with support for common video protocols and common video management systems.
The method 800 may further include, analyzing the received image data (act 820). For example, the video analytics computer system 220 may analyze the received video/images from the camera(s) for identifying the occurrence of events, determining how to position adjacent images together, or to stitch images from adjacent stop positions together into panoramic video/images, and so forth. Whether or not any analytics are provided, the method 800 includes generating panoramic video associated with the captured image data (act 830). For instance, the video analytics computer system 220 may use the received video/images and/or analysis thereof to generate panoramic video/images, as illustrated by the panoramic image of
The method 800 further includes, generating a single video stream of the generated panoramic video (act 840). For instance, the video analytics computer system 220 may generate a single video stream that includes the generated panoramic video, as well as various data, images, and/or video related to detected events. The method 800 also includes sending the single generated video stream to a third-party video management system (act 850). Notably, the video stream may be usable by the video management system for displaying the generated panoramic video. For instance, the single video stream may include video/images and data from each of the plurality of cameras or camera positions, which video/images (and data) may be shown at the user interface 242 of the video management system, as further described with respect to
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the described features or acts described above, or the order of the acts described above. Rather, the described features and acts are disclosed as example forms of implementing the claims. Features described in any given embodiment, or claim, may be combined with features described in any other embodiment, or claim.
The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. The described embodiments are to be considered in all respects only as illustrative and not restrictive. The scope of the invention is, therefore, indicated by the appended claims rather than by the foregoing description. All changes which come within the meaning and range of equivalency of the claims are to be embraced within their scope.
This application is a continuation of U.S. patent application Ser. No. 16/143,153 filed Sep. 26, 2018 which claims priority to and the benefit of U.S. Provisional Application Nos. 62/580,863; 62/633,278 and 62/657,561 filed Nov. 2, 2017; Feb. 21, 2018; and Apr. 13, 2018, respectively. Each of the foregoing applications is incorporated herein by reference in its entirety.
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20200154048 A1 | May 2020 | US |
Number | Date | Country | |
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62580863 | Nov 2017 | US | |
62633278 | Feb 2018 | US | |
62657561 | Apr 2018 | US |
Number | Date | Country | |
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Parent | 16143153 | Sep 2018 | US |
Child | 16746550 | US |