Motorola Solutions, Inc.

Min Ma

Brian J Frommelt

Janet A Manzanares

Parveen Gupta

Francesca Schuler

Isabel Firpo

Yunchen Huang

Jami Perkins

Deeptha Setlur

Nurie Solemani

Shaik Shavali Shaik

Pawel Sadowski

Ahmad A Fariss

The present disclosure provides systems and methods for determining priority discrepancies between audio data and records data. In one example, the system includes an electronic computing device. The electronic computing device compares audio data associated with a public safety incident to records data associated with the public safety incident, determines discrepancies between the audio data and the records data, and determines an organization and a type associated with the public safety incident. The electronic computing device also determines, based on the organization and the type, priority discrepancies included in the discrepancies and generates a geographical map that includes the priority discrepancies and that is configured for display on a display device.

Determining priority discrepancies between audio data and records data

Techniques for generating a user interface (UI) for a public safety user are provided. An event trigger may be received at a computing device associated with a public safety user. The event trigger may be associated with a public safety event. Historical interaction with at least one UI object by the public safety user when handling previous event triggers of the same type as the received event trigger may be determined. The historical interaction may be retrieved from a historical UI interaction data store. UI objects that the public safety user may interact with to handle the received event trigger may be identified based on the determined historical interaction. A UI may be generated to handle the received event trigger, the UI to handle the received event trigger including the identified UI objects.

System and method for intelligently identifying and dynamically presenting incident and unit information to a public safety user based on historical user interface interactions

A method for handling an overload state in a public safety answering point (PSAP) is provided. While an overload state is not detected at a call routing computing device received emergency calls are queued for a human operator. Responsive to detecting an overload state, first identifying those calls initiated from mobile devices capable of communicating via text message and transmitting a text message requesting callers to respond via text identifying the matter of the emergency call. The responsive text messages are classified as one of a verified emergency call and a verified non-emergency call to be returned when the overload is no longer detected. For each verified emergency call the call is queued for answer by a human operator. For each verified non-emergency call, a follow up text message is transmitted indicating that the verified non-emergency call will be returned at a later time.

Call overload handing for a public safety answering point

A device, system and method for transitioning a public-safety answering point (PSAP) to an automated review mode is provided. A device is configured to: operate in a manual mode, in which calls are routed to users for manual incident data entry; detect an overload condition, in which a number of calls exceeds an ability of users to handle the calls; in response to detecting the overload condition, transition from the manual mode to an automated review mode, in which: calls are routed to one or more bots for automated incident data entry; and incident indicators, parsed from the calls by bots, are rendered at a display screen for review by a user; and in response to detecting that a bot-generated particular incident indicator meets a low confidence condition, change a rendered characteristic of the bot-generated particular incident indicator to indicate that the user is to intervene.

Device, system and method for transitioning a public-safety answering point to an automated review mode

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Lake Zurich, IL, United States of America

Min Ma