Abstract: A system including at least one aerially mounted camera and at least one processor performs a method for selecting a location to place a virtual tripwire onto grid points of a geocoordinate grid. The processor(s) directs a camera to capture a series of images within the camera's field of view. The processor(s) identifies one or more objects of interest within the images and determines movements of the objects through the series of images. The processor(s) identifies directions of travel of the objects of interest. The processor(s) further determines a vector of direction of travel for each object of interest on the grid. The processor(s) then determines at least one candidate location for placement of the virtual tripwire and automatically selects a location for placement of the virtual tripwire based at least on the vector of direction of travel for an object of interest.

Abstract: A system includes one or more video capture devices and a processor coupled to each video capture device. Each processor is operable to direct its respective video capture device to obtain an image of a monitored area and process the image to identify objects of interest represented in the image. The processor is also operable to generate bounding perimeter virtual objects for the identified objects of interest, each bounding perimeter virtual object surrounding at least part of its respective object of interest. The processor is further operable to determine danger zones for the identified objects of interest based on the bounding perimeter virtual objects. The processor is further operable to determine at least one near-miss condition based at least in part on an actual or predicted overlap of danger zones for multiple objects of interest, and may optionally generate an alert at least partially in response to the near-miss condition.

Abstract: A system and method limit the scope of video analytics performed by a processor with limited processing power, such as an edge processor in communication with multiple imaging devices disposed within a monitored area. According to one embodiment, the processor accesses image data from each image capture device and performs non-operational video analytics to detect objects within the respective image data. The processor compares the detected objects in the respective image data over one or more time lapse periods. Based on results of the comparisons, the processor determines parameters for configuration files for the image capture devices, where each configuration file includes parameters for adjusting the respective image capture device to capture images of one or more particular areas of interest within the monitored area and/or disabling a transfer of image data from the respective image capture device. The processor communicates each configuration file to its respective image capture device.

Abstract: A system includes an imaging device configured to capture image data of a monitored area and a computing device having at least one processor. The computing device processor is configured to receive first image data from the imaging device and second image data from a satellite imagery system, where the second image data relates to the monitored area. The processor is also configured to determine a first set of points of interest in the first image data and a second set of points of interest in the second image data, wherein members of each set of points of interest are represented by a respective vector. The processor is further configured to generate a homography matrix based on the two vectors and determine, using the homography matrix, latitude and longitude coordinates of at least one object represented in the first image data but not the second image data.

Abstract: A system including at least one aerially mounted camera and at least one processor performs a method for selecting a location to place a virtual tripwire onto grid points of a geocoordinate grid. The processor(s) directs a camera to capture a series of images within the camera's field of view. The processor(s) identifies one or more objects of interest within the images and determines movements of the objects through the series of images. The processor(s) identifies directions of travel of the objects of interest. The processor(s) further determines a vector of direction of travel for each object of interest on the grid. The processor(s) then determines at least one candidate location for placement of the virtual tripwire and automatically selects a location for placement of the virtual tripwire based at least on the vector of direction of travel for an object of interest.

Abstract: Provided is a method and system that includes a lighting fixture having a sensor unit and a processor and that includes an audio detection device which includes a microphone connected with the processor to detect audio signal adjacent to the lighting fixture, a time measuring device for recording a time measurement associated with the audio signal, a pair of mobile devices that each include a sonic wave generator for generating sonic wave signal in a direction of the microphone, and a distance calculation unit to calculate a distance between the sonic wave signal and the audio signal based on a time-stamp of the sonic wave signal and the audio signal, to determine a sonic pole position triangulation indicative of a location of the lighting fixture.

Abstract: One or more computing devices perform a method for placing a virtual tripwire onto grid points of a geocoordinate grid. A device processor directs a camera to capture a series of images within the camera's field of view. The processor identifies objects of interest within the images and determines movements of the objects through the images. The processor identifies directions of travel of the objects and determines variances in those directions of travel. The processor further determines vectors of median direction of travel for vector points corresponding to the objects on the grid. The processor then determines multiple candidate locations for placement of the tripwire across grid points of the grid in a direction approximately orthogonal to the direction of travel of at least one object of interest and automatically selects one of the candidate locations based on the vectors of median direction of travel and the travel direction variances.

Abstract: A system includes one or more video capture devices and a processor coupled to each video capture device. Each processor is operable to direct its respective video capture device to obtain an image of a monitored area and process the image to identify objects of interest represented in the image. The processor is also operable to generate bounding perimeter virtual objects for the identified objects of interest, each bounding perimeter virtual object surrounding at least part of its respective object of interest. The processor is further operable to determine danger zones for the identified objects of interest based on the bounding perimeter virtual objects. The processor is further operable to determine at least one near-miss condition based at least in part on an actual or predicted overlap of danger zones for multiple objects of interest, and may optionally generate an alert at least partially in response to the near-miss condition.

Abstract: A system includes an aerially mounted video capture device and a processor. The processor is operable to direct the video capture device to obtain an image of a monitored area and process the image to identify objects of interest represented in the image. The processor is also operable to generate bounding perimeter virtual objects for the identified objects of interest, which substantially surround their respective objects of interest. The processor is further operable to determine danger zones for the identified objects of interest based on the bounding perimeter virtual objects. Each danger zone represents a distance threshold about a respective object of interest. The processor is further operable to determine at least one near-miss condition based at least in part on an actual or predicted overlap of danger zones for two or more objects of interest, and to generate an alert at least partially in response to the near-miss condition.

Abstract: A system includes an imaging device configured to capture image data of a monitored area and a computing device having at least one processor. The computing device processor is configured to receive first image data from the imaging device and second image data from a satellite imagery system, where the second image data relates to the monitored area. The processor is also configured to determine a first set of points of interest in the first image data and a second set of points of interest in the second image data, wherein members of each set of points of interest are represented by a respective vector. The processor is further configured to generate a homography matrix based on the two vectors and determine, using the homography matrix, latitude and longitude coordinates of at least one object represented in the first image data but not the second image data.

Abstract: Provided is a method and system that includes an imaging device to be disposed in a lighting fixture to capture images, a remote computing device in communication with the imaging device, and comprising at least one processor. The processor is capable of processing data related to images from the at least one imaging device and from a satellite imagery system, performing comparison operation by detecting a first set of points of interest in an image from the at least one imaging device and corresponding second set of points of interest in an image of a same area from the satellite imagery system, and calculating a homography matrix by matching the first set of points of interests in the image from the at least one imaging device and the second set of points of interest in the image from the satellite imagery system, to determine latitude and longitude coordinates of the image from the imaging device.

Abstract: An assembly includes a lighting fixture, an optical sensor (e.g., a camera), and control circuitry. The optical sensor is configured to optically detect information printed or displayed on an object located a distance away from the sensor. The information represents an operational setting for a component of the assembly. The control circuitry is configured to use the detected information to change the operational setting of the component of the assembly, wherein the component of the assembly is one or more of the optical sensor and the lighting fixture, and wherein the operational setting is one or more of an instruction to turn on or off, an aperture and/or f-stop value of the optical sensor, and a brightness of light to be generated by the lighting fixture. According to one exemplary embodiment, the assembly is a street light and the lighting fixture illuminates a field of view of the optical sensor.

Abstract: One or more computing devices perform a method for placing a virtual tripwire onto grid points of a geocoordinate grid. A device processor directs a camera to capture a series of images within the camera's field of view. The processor identifies objects of interest within the images and determines movements of the objects through the images. The processor identifies directions of travel of the objects and determines variances in those directions of travel. The processor further determines vectors of median direction of travel for vector points corresponding to the objects on the grid. The processor then determines multiple candidate locations for placement of the tripwire across grid points of the grid in a direction approximately orthogonal to the direction of travel of at least one object of interest and automatically selects one of the candidate locations based on the vectors of median direction of travel and the travel direction variances.

Abstract: A system includes an aerially mounted video capture device and a processor. The processor is operable to direct the video capture device to obtain an image of a monitored area and process the image to identify objects of interest represented in the image. The processor is also operable to generate bounding perimeter virtual objects for the identified objects of interest, which substantially surround their respective objects of interest. The processor is further operable to determine danger zones for the identified objects of interest based on the bounding perimeter virtual objects. Each danger zone represents a distance threshold about a respective object of interest. The processor is further operable to determine at least one near-miss condition based at least in part on an actual or predicted overlap of danger zones for two or more objects of interest, and to generate an alert at least partially in response to the near-miss condition.

Abstract: A system and method limit the scope of video analytics performed by a processor with limited processing power, such as an edge processor in communication with multiple imaging devices disposed within a monitored area. According to one embodiment, the processor accesses image data from each image capture device and performs non-operational video analytics to detect objects within the respective image data. The processor compares the detected objects in the respective image data over one or more time lapse periods. Based on results of the comparisons, the processor determines parameters for configuration files for the image capture devices, where each configuration file includes parameters for adjusting the respective image capture device to capture images of one or more particular areas of interest within the monitored area and/or disabling a transfer of image data from the respective image capture device. The processor communicates each configuration file to its respective image capture device.

Abstract: Provided is a method and system including at least one imaging device disposed within an area to be monitored, and configured to capture one or more images and video segments of the area; a computing device in communication with the imaging device, that transmits and receive data to and from the at least one imaging device, performs video analytics to detect objects, compares between different video segments (i.e., frames) and still images within a plurality of time lapse periods of the area to be monitored, and selects different video segments and still images to be captured of the area, by the at least one imaging device, and parameters to determine the video analytics to be performed, based on the results of the comparison.

Abstract: Provided is a method and system that includes an imaging device disposed within a parking area, and configured to capture one or more images of a parked vehicle, and monitor a location of the parked vehicle a remote computing device in wireless communication with the image device. The remote computing device is configured to transmit and receive parking data from the image device. Also included is a software module accessible via a user device for controlling and displaying the one or more images of the parked vehicle to a user. The user selects the parked vehicle to be monitored, and the imaging device monitors the parked vehicle to determine whether the parked vehicle has been moved or is parked illegally and wirelessly transmits a notification to the user.

Abstract: A method of generating an augmented reality (AR) signage solution including acquiring an image of a structure, establishing scaling information for the image by correlating dimensional information of the structure to points in the image, obtaining jurisdictional signage rules, designing a layout for signage on the structure in compliance with the jurisdictional signage rules, depicting in AR the acquired image and signage layout, and generating production documentation after obtaining user approval. The method including detecting the location of one or more obstructions on the structure and incorporating the obstruction locations in the signage layout. The method including adjusting the orientation of the acquired structure image within the AR to reduce skew of the structure in relation to a viewing perspective. A system and non-transitory computer-readable medium are also disclosed.

Abstract: Provided is a method and system that includes an imaging device disposed within a parking area, and configured to capture one or more images of a parked vehicle, and monitor a location of the parked vehicle a remote computing device in wireless communication with the image device. The remote computing device is configured to transmit and receive parking data from the image device. Also included is a software module accessible via a user device for controlling and displaying the one or more images of the parked vehicle to a user. The user selects the parked vehicle to be monitored, and the imaging device monitors the parked vehicle to determine whether the parked vehicle has been moved or is parked illegally and wirelessly transmits a notification to the user.

Abstract: Provided is a method and system including at least one imaging device disposed within an area to be monitored, and configured to capture one or more images and video segments of the area; a computing device in communication with the imaging device, that transmits and receive data to and from the at least one imaging device, performs video analytics to detect objects, compares between different video segments (i.e.