Abstract: A system for low earth orbit (LEO) satellite communication. In one example, the system includes a control computer and a workgroup including a plurality of communication devices. Each communication device includes an electronic processor configured to establish a wireless network connection with the control computer, determine connectivity data associated with a signal between the communication device and a first LEO satellite, and transmit the connectivity data to the control computer via the wireless network connection. The control computer is configured to receive the connectivity data from each communication device, and select a first one of the plurality of communication devices as a primary communication device based on each of the connectivity data. The primary communication device is configured to receive media from a different one of the plurality of communication devices via the wireless network connection and transmit the media to the first LEO satellite.

Abstract: Methods and systems for detecting changes in real estate properties for a public safety purpose. An example method includes receiving images of a residential or commercial property and comparing pairs of received images corresponding to different dates to detect structural changes to the property. The method further includes accessing a property permit database to identify unpermitted structural changes and triggering an anomaly check directed at detecting: a first anomaly associated with the type of unpermitted change; a second anomaly associated with an individual residing on the property; and a third anomaly associated with the property based on a public-safety record. The method further includes, in response to at least one of the first, second, and third anomalies having been detected, performing at least one specific automated responsive action through the corresponding system.

Abstract: Methods and systems for tamper reduction for camera systems. One example system includes a camera with a first field of view configured to operate in a low-power mode and an active mode, an energy wave sensor with a second field of view, and an electronic processor. The electronic processor is configured to monitor, via the energy wave sensor, for an object within the second field of view and determine an object type of the object. In response to determining that the object type is a vehicle, the electronic processor transitions the camera from the low-power mode to the active mode and captures, via the camera, an image of the vehicle. In response to determining that the object type is a person, the electronic processor performs a tamper-monitoring action when the person is within a first predetermined range of a plurality of predetermined ranges of the system.

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 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 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.