Accident Video Notification for Fast Coping Method Determination
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Solution Overview
Problem
Existing systems lack the capability for quick initial response to accidents involving injured persons or urgent cases, such as traffic accidents or medical emergencies, by effectively analyzing video data to determine appropriate coping methods.
Innovation Solution
A notification device and system that utilizes cameras to detect accidents, analyze video data to derive detailed information about the injured person, and determine and notify appropriate coping methods to designated targets, including first aid or medical procedures, using machine learning models for detection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video data is analyzed to determine detailed coping methods for accident victims, then the precision of medical response is improved, but the time required for analysis increases
Solution Approach 1:
The system performs preliminary classification of accident types and victim states by analyzing key video features before determining detailed coping methods. This preliminary action enables the system to quickly categorize the situation and retrieve pre-prepared coping protocols, significantly reducing the time required for comprehensive analysis while maintaining high precision in the final coping method determination.
Solution Approach 2:
The video analysis process is segmented into multiple stages: initial accident detection, victim state classification, and detailed coping method determination. Each segment processes specific features independently and in parallel, allowing the system to achieve high overall precision through cumulative analysis while minimizing total analysis time through efficient task distribution.
2Reliability
If comprehensive video analysis is performed to identify detailed information about the analysis target person, then the reliability of the coping method is improved, but the complexity of the detection system increases
Solution Approach 1:
The notification device is designed to perform multiple functions using a unified video analysis framework: detecting accidents, classifying victim states, identifying personal features, and determining coping methods. This multi-functional design achieves high reliability in coping method determination while avoiding the need for separate specialized systems, thereby controlling overall system complexity.
Solution Approach 2:
The system introduces an intermediate classification layer that processes video data and generates structured information about accident types and victim states. This intermediary processing step simplifies the subsequent detailed analysis by providing organized input data, reducing the complexity of the overall detection system while maintaining high reliability in the final coping method recommendations.
3Speed
If real-time accident detection and analysis is implemented, then the speed of emergency response is improved, but the energy consumption of the system increases
Solution Approach 1:
The system implements periodic video frame sampling and analysis rather than continuous processing of every frame. By analyzing video data at optimized intervals and triggering detailed analysis only when accident patterns are detected, the system achieves fast emergency response speed while significantly reducing overall energy consumption compared to continuous real-time analysis.
Solution Approach 2:
The system employs a two-stage processing approach where initial fast detection skips detailed analysis for normal situations and only triggers comprehensive video analysis when accident patterns are identified. This selective processing rushes through routine periods with minimal energy expenditure while maintaining high-speed response capability when accidents occur.
Data Source
AI summary
A notification device according to an example embodiment of the present disclosure includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: detect occurrence of an accident from a video captured by one or a plurality of cameras, analyze the video to derive detailed information regarding an analysis target person involved with the accident, determine a coping method for the analysis target person on the basis of the detailed information; and notify the notification target of the determined coping method.