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 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 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: 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: 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: A system comprising a computer-readable storage medium storing at least one program and a method for determining vehicle overlap with a parking space is presented. The method may include accessing a set of pixel coordinates defining a location of a vehicle within an image, and translating the set of pixel coordinates to a set of global coordinates defining a geospatial location of the vehicle. The method may further include accessing a set of known coordinates of the parking space. The method may further include determining an overlap amount by comparing the global coordinates of the vehicle with the known global coordinates of the parking space, and determining the vehicle overlaps the parking space based on the overlap amount transgressing a threshold overlap amount. The method may further include updating a data object associated with the vehicle to indicate the vehicle overlaps the parking space.

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: Methods, apparatus, systems and articles of manufacture are disclosed to provide a smart lighting infrastructure as a service for at least one of communication or analytics. An example communication node apparatus associated with a light fixture includes a sensor to detect an electronic device in proximity to the communication node apparatus. The example apparatus includes a processor to determine authorization of the electronic device to access a processing infrastructure. The example apparatus includes a communication interface to facilitate access to the infrastructure when the processor determines the electronic device is authorized. In the example apparatus, the processor is to monitor and control access to the infrastructure by the electronic device according to an access condition.

Abstract: Provided is a control loop and method for monitoring control loops to ensure low cost of commissioning. The method includes collecting a measurement data set from a sensor, determining a state of connectivity of the sensor, selecting parameters based on the state of the connectivity, and/or performing logical operations to evaluate the measurement data set from the sensor. The control loop is configured to determine the measured state of connectivity and determine if action is required.

Abstract: A sensor system comprising a housing, a movement apparatus to change an orientation of a directional sensor disposed inside the housing, and an indicator apparatus to present the orientation of the directional sensor to a viewer that is outside of the housing. The directional sensor may be a camera, and the indicator apparatus may indicate a field of view of the camera to the viewer that is outside of the housing.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a method for determining vehicle overlap with a parking space is presented. The method may include accessing a set of pixel coordinates defining a location of a vehicle within an image, and translating the set of pixel coordinates to a set of global coordinates defining a geospatial location of the vehicle. The method may further include accessing a set of known coordinates of the parking space. The method may further include determining an overlap amount by comparing the global coordinates of the vehicle with the known global coordinates of the parking space, and determining the vehicle overlaps the parking space based on the overlap amount transgressing a threshold overlap amount. The method may further include updating a data object associated with the vehicle to indicate the vehicle overlaps the parking space.

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 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: Provided is a system for optimizing geo-location of digital images captured in a stationary camera. The system includes a camera configured for capturing a digital image within a field of view of the camera, the image being representative of pixel coordinates and a beacon system including a (i) geo-positioning device for determining geo-coordinates of the device and (ii) a plurality of optical markers. The geo-coordinates are established for each of the markers relative to the geo-coordinates of the device. The beacon system is configured for positioning within the field of view. Also included is a matrix module for creating a transformation matrix for correlating one of more of the pixels with the geo-coordinates of each of the markers, the correlating producing geo-coordinates for the one of more pixels.