Incident Prediction System for First Responder Hazard Detection
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Solution Overview
Problem
First responders face challenges in accurately perceiving hazards during emergency situations due to environmental conditions like smoke, rain, and obstructions, which can escalate situations and hinder effective management.
Innovation Solution
A system that includes body-worn cameras and communication devices capable of generating and storing lists of objects of interest, classifying incident types, and transmitting notifications to associated devices when hazardous objects are detected within an image stream, enabling real-time hazard recognition and alerting first responders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If first responders rely on direct visual perception during emergency situations, then response speed may be maintained, but accuracy of hazard detection deteriorates due to environmental conditions like smoke, rain, and obstructions
Solution Approach 1:
The patent introduces an intermediary system consisting of image capture devices, processors, and notification systems that mediate between the hazardous environment and the first responder. The processor acts as an intermediary that analyzes images to detect objects of interest and generates notifications, allowing first responders to perceive hazards accurately without direct visual exposure to environmental interference like smoke and obstructions.
2Measurement precision
If first responders use enhanced detection systems to improve hazard recognition, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system employs self-service mechanisms where the processor automatically analyzes captured images, identifies objects of interest based on pre-stored criteria, and generates notifications without requiring manual intervention from first responders. The system serves itself by autonomously performing detection, classification, and notification functions, reducing the operational burden on users while maintaining high detection accuracy.
Solution Approach 2:
The patent implements preliminary action by pre-storing lists of objects of interest and their associated criteria in the processor before emergency situations occur. This allows the system to quickly match detected objects against pre-established criteria during incidents, reducing real-time processing complexity while maintaining accurate hazard detection.
3Loss of time
If real-time image analysis is performed to detect hazards, then response time improves, but energy consumption increases
Solution Approach 1:
The system applies partial action by selectively analyzing only specific regions or features of images that are most likely to contain hazards, rather than processing entire images in full detail. The processor focuses computational resources on detecting objects of interest based on pre-stored criteria, performing sufficient analysis to identify hazards without excessive processing of all image data, thereby reducing energy consumption while maintaining timely hazard notification.
Data Source
AI summary
A method and device for incident situation prediction. Using the method, a list of objects of interest is generated and stored in a call controller, where each object of interest in the list of objects of interest is associated with at least one of a plurality of incident types. The call controller receives an image stream of an incident and classifies the image stream as one of the plurality of incident types. The call controller selects a subset of objects of interest from the list of objects of interest, the subset of objects of interest associated with the one of the plurality of incident types. The call controller determines whether the image stream includes an object from the subset of objects of interest and generates a notification associated with the object. The notification is transmitted to a set of incident scene devices associated with the incident.