Abstract: A system and method for displaying an image of an object of interest located at an incident scene. The method includes receiving, from the image capture device, a first video stream of the incident scene, and displaying the video stream. The method includes receiving an input indicating a pixel location in the video stream, and detecting the object of interest in the video stream based on the pixel location. The method includes determining an object class, an object identifier, and metadata for the object of interest. The metadata includes the object class, an object location, an incident identifier corresponding to the incident scene, and a time stamp. The method includes receiving an annotation input for the object of interest, and associating the annotation input and the metadata with the object identifier. The method includes storing, in a memory, the object of interest, the annotation input, and the metadata.

Abstract: Tendency detecting and analysis in support of generating one or more workflows via user interface interactions is disclosed. In accordance with the user interface interactions, processing user selection of one or more icons may generate at least one user-selectable option within a graphical user interface, where the user-selectable option corresponds to at least one workflow action. The workflow action may relate to an identified tendency of a person or a group of people.

Abstract: A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.

Abstract: A device, method and system for controlling an access point based on movement trends of a mover is provided. A device receives images from a camera device, the camera device configured to image a region adjacent an access point, the access point initially in a first state that prevents access therethrough. The device identifies a designator of a mover in the images. The device determines, using the designator in the images, direction vectors of the mover. The device determines a trend of movement of the mover, relative to the access point, based on changes in one or more of slope and angle of the direction vectors of the mover. The device, in response to determining that the mover is trending towards the access point, changes the access point from the first state to a second state that provides access therethrough.

Abstract: A system and method for displaying an image of an object of interest located at an incident scene. The method includes receiving, from the image capture device, a first video stream of the incident scene, and displaying the video stream. The method includes receiving an input indicating a pixel location in the video stream, and detecting the object of interest in the video stream based on the pixel location. The method includes determining an object class, an object identifier, and metadata for the object of interest. The metadata includes the object class, an object location, an incident identifier corresponding to the incident scene, and a time stamp. The method includes receiving an annotation input for the object of interest, and associating the annotation input and the metadata with the object identifier. The method includes storing, in a memory, the object of interest, the annotation input, and the metadata.

Abstract: A device, system and method for generating an alert and an automatic search for a candidate subject is provided. The device monitors one or more data sources to identify a candidate subject. The device determines, from rules for rating candidate subjects stored in a memory, a rating of the candidate subject. When the rating meets a first threshold: the device transmits, to one or more communication devices, an alert identifying the candidate subject. When the rating meets a second threshold, lower than the first threshold: the devices provides, a classifier defining the candidate subject to an object recognition engine to cause the object recognition engine to automatically search for the candidate subject, using the classifier, in multimedia data received at one or more edge devices. The multimedia data may include images.

Abstract: A system and method for displaying an image of an object of interest located at an incident scene. The method includes receiving, from the image capture device, a first video stream of the incident scene, and displaying the video stream. The method includes receiving an input indicating a pixel location in the video stream, and detecting the object of interest in the video stream based on the pixel location. The method includes determining an object class, an object identifier, and metadata for the object of interest. The metadata includes the object class, an object location, an incident identifier corresponding to the incident scene, and a time stamp. The method includes receiving an annotation input for the object of interest, and associating the annotation input and the metadata with the object identifier. The method includes storing, in a memory, the object of interest, the annotation input, and the metadata.

Abstract: A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.

Abstract: A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.

Abstract: A device, method and system for controlling an access point based on movement trends of a mover is provided. A device receives images from a camera device, the camera device configured to image a region adjacent an access point, the access point initially in a first state that prevents access therethrough. The device identifies a designator of a mover in the images. The device determines, using the designator in the images, direction vectors of the mover. The device determines a trend of movement of the mover, relative to the access point, based on changes in one or more of slope and angle of the direction vectors of the mover. The device, in response to determining that the mover is trending towards the access point, changes the access point from the first state to a second state that provides access therethrough.

Abstract: A device, system and method for generating an alert and an automatic search for a candidate subject is provided. The device monitors one or more data sources to identify a candidate subject. The device determines, from rules for rating candidate subjects stored in a memory, a rating of the candidate subject. When the rating meets a first threshold: the device transmits, to one or more communication devices, an alert identifying the candidate subject. When the rating meets a second threshold, lower than the first threshold: the devices provides, a classifier defining the candidate subject to an object recognition engine to cause the object recognition engine to automatically search for the candidate subject, using the classifier, in multimedia data received at one or more edge devices. The multimedia data may include images.

Abstract: A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.

Abstract: A device, system and method for generating an alert and an automatic search for a candidate subject is provided. The device monitors one or more data sources to identify a candidate subject. The device determines, from rules for rating candidate subjects stored in a memory, a rating of the candidate subject. When the rating meets a first threshold: the device transmits, to one or more communication devices, an alert identifying the candidate subject. When the rating meets a second threshold, lower than the first threshold: the devices provides, a classifier defining the candidate subject to an object recognition engine to cause the object recognition engine to automatically search for the candidate subject, using the classifier, in multimedia data received at one or more edge devices. The multimedia data may include images.

Abstract: A directional vehicular spotlight (100) is provided with a plurality of radar sensors (150) and at least one non-radar sensor (160). The plurality of radar sensors (150) provide field of view coverage in at least forward, first and second sides, and rear directions of the directional spotlight. The non-radar sensor (160) detects orientation of the directional spotlight (100). The plurality of radar sensors (150) and the at least one non-radar sensor (160) provide ingress detection across a predetermined vehicular perimeter threshold.

Abstract: A device, system and method for notifying a person-of-interest of their location within an estimated field-of-view of a camera is provided. The device: identifies a person-of-interest in an area proximal one or more of a first camera and the device; receives and processes images from the first camera to identify a second camera located in the area; determines a location of the person-of-interest; and determines, from the images, a respective location and estimated field-of-view of the second camera; determines, by comparing the location of the person-of-interest and the respective location and estimated field-of-view of the second camera, whether the person-of-interest is located within the estimated field-of-view of the second camera; and, when the person-of-interest is located within the estimated field-of-view of the second camera, controls a notification device to provide a notification to notify the person-of-interest of their location within the estimated field-of-view of the second camera.

Abstract: A system and method for modifying a search request corresponding to a person, object, or entity (POE) of interest. The system includes a POE search controller that detects a POE search request, extracts POE of interest metadata including one or more features associated with the POE of interest, generates a POE detection classifier based on the one or more features, identifies types of data capturing devices that are capable of capturing data for detection of the POE of interest, determines data capturing settings based on the POE of interest metadata and respective device type associated with data capturing devices, generates a modified POE search request including the POE detection classifier and respective data capturing settings for each of the one or more types of data capturing devices, and transmits the modified POE search request to one or more communication devices.

Abstract: A process for dynamic vehicular threat detection perimeter modification for an exited vehicular occupant includes prior to detecting a vehicular occupant exiting the vehicle, establishing a first sized vehicular geofence surrounding the vehicle as a function of one or more stored vehicular perimeter distances. The first sized vehicular geofence is monitored for a first breach via one of a 360 degree vehicular light imaging and radio wave distancing system. In response to detecting that the vehicular occupant previously inside the vehicle has exited the vehicle, the one or more stored vehicular perimeter distances is modified as a function of a detected location of the exited vehicular occupant to establish a second sized vehicular geofence surrounding the vehicle different than the first sized vehicular geofence. The second sized vehicular geofence is monitored for a second breach via one of the 360 degree vehicular light imaging and radio wave distancing system.

Abstract: Systems and methods for intelligent traffic stop classifier loading are provided. A processor may receive a plurality of inputs related to a current context of a law enforcement officer. Based on the plurality of inputs, it may be determined that the current context of the law enforcement officer is a vehicle traffic stop. An image classifier may be loaded onto an image capture device associated with the law enforcement officer based on the vehicle traffic stop determination. An object type associated with the image classifier may be scanned for using the image classifier loaded onto the image capture device.

Abstract: Intelligent beam forming for a range detection device of a vehicle. One system includes a range detection device including a detection array, and an electronic processor communicatively coupled to the detection array. The electronic processor is configured to receive image or video data from a camera having a field of view. The electronic processor is further configured to identify an area in the field of view of the camera, determine a first threat probability of the identified area, and determine that the first threat probability is greater than a threat level threshold. In response to determining that the first threat probability is greater than the threat level threshold, the electronic processor is configured to provide an instruction to the detection array to change a shape of a beam created by the detection array to focus the beam in a direction of the identified area.

Abstract: A directional vehicular spotlight (100) is provided with a plurality of radar sensors (150) and at least one non-radar sensor (160). The plurality of radar sensors (150) provide field of view coverage in at least forward, first and second sides, and rear directions of the directional spotlight. The non-radar sensor (160) detects orientation of the directional spotlight (100). The plurality of radar sensors (150) and the at least one non-radar sensor (160) provide ingress detection across a predetermined vehicular perimeter threshold.