Motorola Solutions, Inc.

Other

Motorola Corporation

John B Preston

Shervin Sabripour

Alejandro G Blanco

George S Hanna

Patrick Douglas Koskan

Mark A Boerger

Bert Van Der Zaag

Robert J Higgins

Daniel A Tealdi

Bradley Michael Hiben

Donald G Newberg

Peter L Venetianer

Tyrone D Bekiares

Pietro Russo

Francesca Schuler

Goktug Duman

Bruce D Mueller

Scott Michael Alazraki

Vernon Anthony Allen

Alan P Conrad

Robert D LoGalbo

Gregory A Dertz

Richard Herrera

Belfug Sener

Jared Knapp

Anu W Khera

Shamir Rabinovitch

Patrick D Koskan

Scott M Alazraki

Bradley M Hiben

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 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

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

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.

Method and device to minimize interference in a converged LMR/LTE communication device

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.

System and method for intelligent traffic stop classifier loading

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.

Stun gun detect

A communication system () provides a wearable firearm detection system comprising a first body area network (BAN) node () coupled to the firearm, a second BAN node () coupled to a body wearable apparatus, such as a holster, and a third BAN node () coupled to a portable radio (). 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 (), or enabling a recording () of firearm movement.

Apparatus and method for detecting a firearm in a communication system

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.

Method and apparatus for authentication of collaborative mobile devices

Before hibernating a computing device (), system software components () are notified of an upcoming hibernation process. The notifications are conveyed through an application program interface (API) (). At least a portion of the system software components () can perform one or more pre-hibernation activities to place that system software component () in a ready-to-resume state. Each system software component indicates when it is ready for hibernation. Responsive to receiving the indication from each of the system software components (), the hibernation process can complete. The completed hibernation process creates a snapshot () in nonvolatile memory. The snapshot () saves state information () for each of the system software components (). The state information () is for the ready-to-resume state of the system software components (). The computing device () can be restored after hibernation using a resume process (), which reads the state () information from the snapshot ().

Method and apparatus for enhancing a hibernate and resume process for a computing device having an external mechanical input component

Authentication methods are used to authenticate, a device1 having an ESN1 (electronic serial number), a device2 having an ESN2, and/or a user of the devices. In one implementation, device1 receives the ESN2 in a near-field signal; derives an authentication result as a function of the ESN1 and ESN2; and sends the authentication result to an authenticator device to use in completing authentication. Authentication is confirmed when the device1 authentication result matches an authentication result independently generated by the authenticator device, which is provisioned with the ESN1 and ESN2. In a second implementation, device1 generates a RAND1 (random number) and sends the RAND1 to device2 over a near-filed link. An authenticator device confirms authentication upon receiving the same RAND1 from both device1 and device2.

Methods for authentication using near-field

Method and apparatus for enhancing a multi-stage hibernate and resume process

Authentication methods are used to authenticate, a devicehaving an ESN(electronic serial number), a devicehaving an ESN, and/or a user of the devices. In one implementation, devicereceives the ESNin a near-field signal; derives an authentication result as a function of the ESNand ESN; and sends the authentication result to an authenticator device to use in completing authentication. Authentication is confirmed when the deviceauthentication result matches an authentication result independently generated by the authenticator device, which is provisioned with the ESNand ESN. In a second implementation, devicegenerates a RAND(random number) and sends the RANDto deviceover a near-filed link. An authenticator device confirms authentication upon receiving the same RANDfrom both deviceand device

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Plantation, FL, United States of America

John B Preston