Motorola Solutions, Inc.

Shervin Sabripour

Alejandro G Blanco

Patrick Douglas Koskan

John B Preston

Scott Michael Alazraki

Bert Van Der Zaag

Melanie King

Craig F Siddoway

Goktug Duman

Fabio M Costa

Peter L Venetianer

Chi T Tran

Pietro Russo

Michael L Charlier

Daniel A Tealdi

Quan-Wen Du

Kuan Heng Lee

Li Poh Chen

Yew Leong Wong

Kurt Russell Grossnickle

Lan-Jian Cao

Belfug Sener

Ji-Feng Zheng

Jonathan W Cruz

Su Lin Koay

Yen Nee Lee

Soo Fong Tan

Freddy R Torres

Eduardo Schneid

Jared Knapp

Melanie A King

Bert Van Zaag

Patrick D Koskan

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.

System and method for displaying objects of interest at an incident scene

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.

Method, system and computer program product for intelligent tracking

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.

Device, method and system for controlling an access point based on movement trends of a mover

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.

Device, system and method for generating an alert and an automatic search for a candidate subject

A device, method and system for adjusting a configuration of a camera device is provided. An example device is in communication with an example camera device having a configuration. The device receives an image sequence from the camera device. The device processes the image sequence to determine a predicted location of a target object identified in the image sequence based on movement of the target object in the image sequence. The device adjusts the configuration of the camera device based on a stored configuration of the camera device, the stored configuration indicative of conditions at the predicted location.

Device, method and system for adjusting a configuration of a camera device

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.

System and method for authentication queuing in access control systems

A device, system and method for evacuation task management is provided. A computing device: receives initial sensor data from sensors of a building; generates respective evacuation instructions for evacuating persons and objects from the building for each of responders, the respective evacuation instructions generated from rules for evacuating the building and the initial sensor data, each person or object associated with at least one of the sensors; transmits the respective evacuation instructions to a respective communication device of the responders; monitors updated sensor data from the sensors during evacuation of the building and location information associated with each of the responders, to track compliance with the respective evacuation instructions; and transmits updated respective evacuation instructions to the respective communication device of one or more of the responders, the updated respective evacuation instructions based on monitored updated sensor data and monitored location information received after transmitting the respective evacuation instructions.

Device, system and method for evacuation task management

Method, system and computer program product for intelligent tracking and data transformation between interconnected sensor devices of mixed type

A process and system for enabling a 360-degree threat detection sensor system that is physically coupled to a vehicle to monitor an area of interest surrounding the vehicle. An electronic computing device selects an area of interest surrounding a vehicle stop location to be monitored by the sensor system. When the sensor system has an obstructed field-of-view of the area of interest, the electronic computing device determines a new vehicle stop location at which the sensor system has an unobstructed field-of-view of the area of interest when the vehicle is to be stopped at the new vehicle stop location. The electronic computing device then transmits an instruction to a target electronic device to provide an electronic indication identifying the new vehicle stop location to a registered occupant of the vehicle, or autonomously control the vehicle to stop at the new vehicle stop location.

System and method for enabling a 360-degree threat detection sensor system to monitor an area of interest surrounding a vehicle

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 threshold for enabling entry.

Systems and methods for personalized intent prediction

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.

Using a sensor hub to generate a tracking profile for tracking an object

An object learning system, method, and device. The object learning device includes an electronic processor configured to provide an identifier based on target to at least one auxiliary object learning device and initiate an edge learning process on the target to create first preprocessed object recognition data. The electronic processor is further configured to receive second preprocessed object recognition data corresponding to the target from the at least one auxiliary object learning device and create, based on the first and the second preprocessed object recognition data, a classifier of the target.

Method and apparatus for distributed edge learning

Electronic processing systems and methods for collaborating between vehicular threat detection appliances. One system includes a memory, a transceiver, an electronic processor, and a first vehicular 360-degree threat detection appliance that is physically coupled to a first vehicle. The electronic processor is configured to identify a portion of the first vehicular 360-degree threat detection appliance having an obstructed field-of-view. The electronic processor is also configured to detect a second vehicular 360-degree threat detection appliance that is physically coupled to a second vehicle and has an unobstructed field-of-view of the obstructed field-of-view. The electronic processor is further configured to transmit a request to the second vehicular 360-degree threat detection appliance to provide threat detection coverage for the first vehicle in a direction of the obstructed field-of-view. The electronic processor is also configured to temporarily disable the portion of the first vehicular 360-degree threat detection appliance that has the obstructed field-of-view.

Growing community of inventors

Plantation, FL, United States of America

Shervin Sabripour