Motorola Solutions, Inc.

Mariya Bondareva

David Kaleko

Randy L Ekl

Walamitien H Oyenan

Zili Li

Zheng Fang

Chia Ying Lee

Pietro Russo

Eric Johnson

Roger David Donaldson

Chew Yee Kee

Daniel R Bestor

Benjamin Zaslow

Richard Mostaert

Chin Kuan Ong

Yanlin Han

Han Zhong Tan

Li Li Chuah

Wei Han Tan

Nikolai Kuznetcov

Preetam Pagar

Chun Mun Tan

Wai Loon Tham

Li Li Chuan

Techniques for summarization of search results are provided. A similarity search query comprising at least one search criteria is received. The similarity search query is executed on at least one data source containing a plurality of images associated with metadata responsive to the search criteria. A plurality of search results response to the similarity search query is received from the at least one data source. The plurality of search results is clustered based on the metadata associated with the plurality of search results excluding the similarity criteria. The plurality of search results is summarized based on the results of the clustering. The summarization is displayed in a display view. An interactive user interface is provided to refine the plurality of search results based on the summarization.

System and method for summarization of search results

Automated processing, enforcement and intelligent management of vehicle operation violations is disclosed. A method, that is also disclosed, includes obtaining at least one image within which is shown at least a portion of a vehicle. The method also includes receiving image data for the at least one image, and analyzing the image data to generate a violation score for each of one or more potential vehicle operation violations for the vehicle. When the violation score is in-between an upper violation threshold and a lower consideration threshold, user input is obtained that either affirms or rejects existence of a violation and then, once the user input is obtained, a violation notification is generated only when the user input affirms the existence of the violation. When the violation score is higher than the violation threshold, the violation notification is generated without the user input being obtained.

Method, system and computer program product for automated processing, enforcement and intelligent management of vehicle operation violations

A device, system and method for providing indications of a discrepancy between a video and a textual description of an incident. A public-safety computing device determines a discrepancy between a video of an incident and a textual description of the incident, the textual description being a component of a public-safety incident report associated with the incident. The device, in response to determining the discrepancy, controls a notification device to provide an indication of the discrepancy.

Device, system and method for providing indications of a discrepancy between a video and a textual description of an incident

An example method and apparatus for processing accidental emergency calls is provided herein. The example method includes monitoring an emergency call with an active learning artificial intelligence (AI) bot implemented by a processor. The example method further includes determining, by the AI bot, that the emergency call was disconnected prior to a call taker resolving the emergency call. The example method additionally includes providing, by the AI bot, a score indicative of the likelihood that the emergency call was an accidental call, wherein the call may be based on real-time and historical data. The example method also includes recommending, by the AI bot, a response to the emergency call based upon the score.

Method and system for automatically detecting and resolving accidental emergency calls

A device, system and method for modifying workflows based on call profile inconsistencies is provided. A device monitors a call, received from a caller reporting an incident. The device performs one or more sentiment analysis and semantic analysis on one or more of: video of the caller on call; audio of the caller on call; and transcribed text of the audio of the call. The device determines a profile for the call, from a plurality of predetermined profiles stored at a memory accessible to the device, the plurality of predetermined profiles previously generated from historical data. In response to determining an inconsistency between the profile for the call and one or more of the sentiment analysis and the semantic analysis, the device determines a modified workflow for handling the call. The device provides, at a notification device, the modified workflow for handling the call reporting the incident.

Device, system and method for modifying workflows based on call profile inconsistencies

A device, system and method for address validation is provided. A computing device determines an address associated with a call. The computing device determines whether the address has previously been corrected to one or more different addresses using historical address correction data. In response the address having been previously corrected to the one or more different addresses, the computing device controls a notification device to provide a notification.

Device, system and method for address validation

A device, system and method for deploying communication devices based on historic incidents is provided. Predicted incident risks for a given time are determined for regions, based on distance and time differences of historic incidents, relative to the given time and a region over a first time period and a distance from a region, and incident prediction parameters for weighting the differences. From the predicted incident risks, a subset of the regions having highest predicted incident risks is determined, and a prediction efficiency is determined based on a number of the incidents in the subset relative to a total number of the incidents for the regions. The first time period, the distance, and the incident prediction parameters are varied when determining the predicted incident risks and the subset, to maximize the prediction efficiency for the second time period. Commands are generated for deploying communication devices to the subset.

Device, system and method for deploying communication devices based on historic incidents

Systems and methods of on hold handling of calls are provided. A call may be received, from a caller, at a public safety access point. An Artificial Intelligence (AI) bot may monitor a context associated with the call. The call may be placed on hold. The AI bot may determine, based on the context associated with the call, that the call should be taken off hold.

System and method for artificial intelligence on hold call handling

Method and device for responding to an audio inquiry. The electronic computing device monitors audio communications transmitted between communication devices that are members of a talk group on a talk group channel. The electronic computing device detects an audio inquiry from a first communication device and generates an audio content response to be provided in response to the audio inquiry. The electronic computing device determines based on one or both of the audio inquiry and the audio content response, and as a function of the context information, that the audio content response is to be individually provided to the first communication device. The electronic computing device then establishes a private call with the first communication device and provides the audio content response to the first communication device via the private call.

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Bolingbrook, IL, United States of America

Mariya Bondareva