Motorola Solutions, Inc.

Motorola Corporation

Scott Michael Alazraki

Alejandro G Blanco

Patrick Douglas Koskan

Shervin Sabripour

David E Klein

Deborah Monks

Eric D Brooks

Steven E Young

Deborah J Monks

Apoorv Chaudhri

Daniel A Tealdi

Darrell James Stogner

Melanie King

Alan P Conrad

Lisajane M Romer

Craig F Siddoway

Ellis Arthur Pinder

Yadunandana N Rao

Jesus Francisco Corretjer

John B Preston

Yanyan Hu

Stanko Jelavic

Robert D LoGalbo

Deborah A Gruenhagen

Barbara R Doutre

Fabio M Costa

Chet A Lampert

Steven Gilmore

Bob D Logalbo

David Larson

Amish Pravinbhai Shah

Mircea Capota

Eduardo Schneid

Freddy R Torres

Stan Jelavic

Steven Young

A hybrid operation of a license plate recognition (LPR) system and infrastructure monitoring is provided. The system takes advantage of a first mode of operation of the LPR system, by running an infrastructure analytical tool which gathers infrastructure images in parallel with license plate detection. Analytics are applied, via a cloud based analytics engine, to provide detection of infrastructure anomalies, and prediction of potential infrastructure incidents. The system further generates a trigger alert warning of a potential infrastructure incident and recommendation to address the potential infrastructure incident.

Hybrid operation of license plate recognition (LPR) camera for infrastructure monitoring

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, 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.

Device, system and method for notifying a person-of-interest of their location within an estimated field-of-view of a camera

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.

Method and system for modifying a search request corresponding to a person, object, or entity (POE) of interest

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.

System and method for dynamic vehicular threat detection perimeter modification for an exited vehicular occupant

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 process for improved real-time conflict identification and resolution, and information corroboration, during an interrogation relative to an incident includes capturing a first real-time digital audio or video stream from a first interviewee under interrogation by a first interviewer relative to an incident. The first real-time digital audio or video stream is converted to a first digital text string, which is then semantically processed to identify and store first information relative to the incident. Stored second information created via interrogation of a second interviewee under interrogation relative to the incident is accessed, and a conflict between the stored first information and the stored second information is identified. A visual or audio prompt is generated associated with the conflict and an indication of the conflict is played back via the visual or audio prompt to the first interviewer.

System, device, and method for real-time conflict identification and resolution, and information corroboration, during interrogations

A system and method for inline object detection using hue saturation value. One method includes determining, with an electronic processor running a single object classifier, a hue saturation value range. The method includes receiving a digital image including an object. The method includes detecting, without reloading the single object classifier, a macroblock from the digital image, the macroblock associated with the object. The method includes determining a target region within the macroblock. The method includes determining a quantity of pixels in the target region having a hue saturation value within the hue saturation value range. The method includes, when the quantity of pixels exceeds a threshold, completing object classification of the macroblock.

Systems and methods for inline object detection using a hue saturation value

An evidentiary management process for digital data associated with a localized Miranda-type process includes first detecting an electronic Miranda-type process trigger event, capturing audio/video of a suspect and storing a unique identifier of the suspect, selecting a particular stored Miranda-type warning variation, and then playing back the selected warning variation and storing an indication thereof. Then the unique identifier of the suspect and the stored indication of the warning variation are aggregated into a single data structure. An electronic anti-tamper process is then applied to the single data structure to generate an anti-tamper indicator, and the single data structure and anti-tamper indicator are stored or transmitted to a remote device.

System, device, and method for evidentiary management of digital data associated with a localized Miranda-type process

A system, device and method for validating a 911 caller is provided. A recording is received that includes a voice sample of a caller, the recording associated with an incident. A voiceprint for the caller is generated from the voice sample. A communication device of a responder responding to the incident is identified. An indication of the voiceprint for the caller is transmitted to the communication device, to cause: a comparison of the voiceprint with sound received at the communication device; and, in response to the comparison, an initiation of an action.

System, device and method for validating a 911 caller

A holster spacer adaptable for use within a holster assembly including a wearable component and a separable holster supported by the wearable component. The holster spacer includes a wearable component-facing surface, a holster-facing surface opposite the wearable component-facing surface, a mounting interface, an internal cavity provided between the wearable component-facing surface and the holster-facing surface, and a sensor operable to detect a parameter relating to an implement positionable within the holster.

Intelligent holster spacer

Data analytics engines and methods of incident scene focus area determination. The method includes receiving a plurality of directional inputs from a plurality of sources. The method also includes assigning weighting factors to the plurality of directional inputs. The method further includes generating weighted position vectors for each of the plurality of sources based on the plurality of directional inputs and the weighting factors. The method also includes determining when the weighted position vectors for at least two sources of the plurality of sources intersect. The method further includes determining an intersection location and a confidence level based on the weighted position vectors of the at least two sources. The method also includes identifying an incident scene focus area based on the intersection location and the confidence level.

Method of incident scene focus area determination

A communication system and method provide fight detection capability. Bodily parameters associated with fighting, such as limb movements, are pre-stored and individualized for a particular user. The characterization of a fight using limb movements allows for a system that can recognize a fight even when a user is unable to call for assistance. Other bodily parameters are further monitored and weighted to distinguish a fight from other activities. The automatic notification to a dispatch center or control center and notification to peer radios expedites the ability to bring aid to the user.

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Davie, FL, United States of America

Scott Michael Alazraki