US 2025/0054088 A1Published application

Law enforcement network platform

AssigneeLaw Enforcement Network, LLC

InventorHussein AbuHassan

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Abstract

An emergency response system that can share at least near real time information for response coordination and at least responder and citizen notifications. A neural network can be trained on historical data to identify characteristics associated with one or more trigger events that can relate to a variety of potentially dangerous situations. A trigger event can also arise in response to receipt of a reported violation from a citizen, including based on a violation type selected by the citizen using a user interface. Optionally, information regarding a trigger event can be communicated to a supervisory communication device for a supervisory decision as to whether responders are to be deployed to address the trigger event. Further, responders located within a certain distance of the trigger event, and having a specialty relating to the type of trigger event, can receive a request to attend to the trigger event.

Claims20

Dependent claims

An emergency response system comprising:

one or more databases that receive a neural network training data corresponding to a plurality of characteristics for each of a plurality of historical trigger conditions;
at least one processor;
and
a memory device coupled to the at least one processor, the memory device including instructions that when executed by the at least one processor cause the at least one processor to:
analyze, for continuous training of a neural network based on machine learning, the neural network training data to identify one or more trigger event characteristics corresponding to one or more of the plurality of historical trigger conditions;
detect, using the neural network, an occurrence of a trigger event based at least on a detection of the one or more trigger event characteristics in one or more captured images;
generate, in response to the detection of the one or more trigger event characteristics, a signal to communicate the detection of the trigger event to at least one supervisory communication device;
and
generate, after communication of the detection of the trigger event to at least one supervisory communication device and in response to a receipt of an approval signal from the at least one supervisory communication device, a notification to at least one responder communication device, the approval signal having an indication of an approval by a supervisor of at least one responder being deployed to respond to the trigger event.

6 more elements

A method for operating an emergency response system, the method comprising:

receiving a report signal that identifies a reported violation being reported via use of a citizen communication device of a citizen, the report signal identifying, for the reported violation, at least a violation location and a violation type;
identifying a plurality of responders to respond to the reported violation, each responder of the plurality of responders being identified based at least on a responder location identified for the responder being within a predetermined distance from the violation location and an identified specialty of the responder corresponding to the violation type;
receiving a response signal from a responder communication device of at least one responder of the plurality of responders, the response signal indicating an agreement of the at least one responder to respond to the reported violation;
generating, based at least on the violation type, a query signal to communicate to the citizen communication device a plurality of predefined questions and, for each predefined question, a plurality of predefined answers;
and
generating a signal to communicate to the responder communication device of the at least one responder a predefined answer from the plurality of predefined answers selected by the citizen to at least one predefined question of the plurality of predefined questions.

3 more elements

A method for operating an emergency response system, the method comprising:

analyzing, for continuous training of a neural network based on machine learning, a neural network training data to identify one or more trigger event characteristics corresponding to one or more of a plurality of historical trigger conditions;
detecting, using the neural network, an occurrence of a trigger event based at least on a detection of the one or more trigger event characteristics in one or more captured images;
generating, in response to the detection of the one or more trigger event characteristics, a signal to communicate the detection of the trigger event to at least one supervisory communication device;
and
generating, after communication of the detection of the trigger event to at least one supervisory communication device and in response to a receipt of an approval signal from the at least one supervisory communication device, a notification to at least one responder communication device, the approval signal indicating of an approval by a supervisor of at least one responder being deployed to respond to the trigger event.

2 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/800,736Filed 12 Aug 2024
Priority: 10 Aug 2023
Published: 13 Feb 2025
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

G06Q 50/265
Government or public services: personal security, identity or safety
G06Q 50/26
Services: government or public services
G06V 10/82
Using pattern recognition or machine learning: using neural networks
G06V 20/52
Context or environment of the image: surveillance or monitoring of activities, e.g. for recognising suspicious objects