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 for authentication queuing in access control systems is provided. The method may include establishing, by an access control system, a first wireless connection with a mobile device. The method further includes authenticating the mobile device over the first wireless connection. The method also includes adding the mobile device to a first authenticated devices queue associated with a first physical access point. The method includes sending a reconnection parameter to the mobile device. The method additionally includes disconnecting the first wireless connection to the mobile device.

Abstract: A device, system and method for evacuation task management is provided.

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: Systems for personalized intent prediction may perform a process including receiving image data depicting the behavior of a person on approach toward a secure location, generating intent data including data representing a current trajectory of the person on the current approach, comparing the intent data with a personal statistical model for the person that includes data representing trajectories associated with historical approaches by the person toward the secure location and respective result data indicating whether the historical approach resulted in the person entering the secure location, determining, dependent on the comparing, a personalized intent score representing a likelihood that the person intends to enter the secure location on the current approach, and pre-emptively enabling, or refraining from pre-emptively enabling, entry to the secure location prior to the person reaching the secure location based on whether the personalized intent score meets or exceeds a predetermined minimum confidence t

Abstract: Using sensor hubs for tracking an object. One system includes a first sensor hub and a second sensor hub. The first sensor hub includes a first audio sensor and a first electronic processor. In response to determining that one or more words captured by the first audio sensor is included in the list of trigger words, the first electronic processor generates a first voice signature of a voice of an unidentified person, generates a tracking profile, and transmits the tracking profile to the second sensor hub. The second sensor hub receives the tracking profile and includes a second electronic processor, a second audio sensor, and a camera. In response to determining that a second voice signature matches the first voice signature, the second electronic processor is configured to determine a visual characteristic of the unidentified person based on an image from the camera and update the tracking profile.

Abstract: Systems for personalized intent prediction may perform a process including receiving image data depicting the behavior of a person on approach toward a secure location, generating intent data including data representing a current trajectory of the person on the current approach, comparing the intent data with a personal statistical model for the person that includes data representing trajectories associated with historical approaches by the person toward the secure location and respective result data indicating whether the historical approach resulted in the person entering the secure location, determining, dependent on the comparing, a personalized intent score representing a likelihood that the person intends to enter the secure location on the current approach, and pre-emptively enabling, or refraining from pre-emptively enabling, entry to the secure location prior to the person reaching the secure location based on whether the personalized intent score meets or exceeds a predetermined minimum confidence t

Abstract: A method for authentication queuing in access control systems is provided. The method may include establishing, by an access control system, a first wireless connection with a mobile device. The method further includes authenticating the mobile device over the first wireless connection. The method also includes adding the mobile device to a first authenticated devices queue associated with a first physical access point. The method includes sending a reconnection parameter to the mobile device. The method additionally includes disconnecting the first wireless connection to the mobile 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: Using sensor hubs for tracking an object. One system includes a first sensor hub and a second sensor hub. The first sensor hub includes a first audio sensor and a first electronic processor. In response to determining that one or more words captured by the first audio sensor is included in the list of trigger words, the first electronic processor generates a first voice signature of a voice of an unidentified person, generates a tracking profile, and transmits the tracking profile to the second sensor hub. The second sensor hub receives the tracking profile and includes a second electronic processor, a second audio sensor, and a camera. In response to determining that a second voice signature matches the first voice signature, the second electronic processor is configured to determine a visual characteristic of the unidentified person based on an image from the camera and update the tracking profile.

Abstract: A method and converged LMR/LTE communications device provide for minimizing interference in the converged LMR/LTE communications device that operates in a land mobile radio (LMR) narrowband communication system and a long term evolution (LTE) broadband communication system. The converged LMR/LTE communications device detects, using an electronic processing device, that the converged LMR/LTE communications device is operating in the first LTE band and the first LMR band. The converged LMR/LTE communications device determines that a first LMR received signal strength indicator (RSSI) at the converged LMR/LTE communications device is less than a first LMR threshold signal strength and disables at least one LTE application based upon the first LMR RSSI being less than the LMR threshold signal strength.

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: A method and converged LMR/LTE communications device provide for minimizing interference in the converged LMR/LTE communications device that operates in a land mobile radio (LMR) narrowband communication system and a long term evolution (LTE) broadband communication system. The converged LMR/LTE communications device detects, using an electronic processing device, that the converged LMR/LTE communications device is operating in the first LTE band and the first LMR band. The converged LMR/LTE communications device determines that a first LMR received signal strength indicator (RSSI) at the converged LMR/LTE communications device is less than a first LMR threshold signal strength and disables at least one LTE application based upon the first LMR RSSI being less than the LMR threshold signal strength.

Abstract: A device, system and method for evacuation task management is provided.

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: A method and apparatus for detecting that a stun gun has been deployed is provided herein. During operation a periodic nature of a stun-gun voltage will be utilized to determine if the stun-gun has been fired. More specifically, an electric/magnetic field (EMF) and/or a sound will be analyzed to determine if the periodic nature of the EMF and/or sound matches that of a stun gun. If so, a command center will be notified of the event. In order to increase the accuracy of any stun-gun detect, a gun-draw sensor may be used in combination with the above technique.

Abstract: A method and apparatus for detecting that a stun gun has been deployed is provided herein. During operation a periodic nature of a stun-gun voltage will be utilized to determine if the stun-gun has been fired. More specifically, an electric/magnetic field (EMF) and/or a sound will be analyzed to determine if the periodic nature of the EMF and/or sound matches that of a stun gun. If so, a command center will be notified of the event. In order to increase the accuracy of any stun-gun detect, a gun-draw sensor may be used in combination with the above technique.

Abstract: A communication system (100) provides a wearable firearm detection system comprising a first body area network (BAN) node (120) coupled to the firearm, a second BAN node (122) coupled to a body wearable apparatus, such as a holster, and a third BAN node (124) coupled to a portable radio (150). The first BAN node detects the presence or absence of the firearm in and out of the holster and communicates the presence or absence of the firearm to the third BAN node coupled to the radio. In response to the firearm being withdrawn from the holster, the radio can enable one or more actions such as an alert to the user, an alert to a dispatch center (170), or enabling a recording (140) of firearm movement.

Abstract: A method, apparatus, and system are provided for authentication of collaborative mobile devices. A first mobile device receives a challenge message, derives a first mobile device authentication result based on the challenge message, and conveys, to a second mobile device of a user of the first mobile device, a first short-range wireless signal comprising the challenge message. The second mobile device receives the challenge message from the first mobile device, derives a second mobile device authentication result based on the challenge message, and conveys, to the first mobile device, a first short-range wireless signal comprising the second mobile device authentication result. The first mobile device receives the second mobile device authentication result and authenticates one or more of the first mobile device, the second mobile device, and the user by conveying, to an authenticator device, the first mobile device authentication result and the second mobile device authentication result.