Rescue Image Processing for Real-Time Person Detection
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Solution Overview
Problem
Existing technologies lack effective assistance for workers engaged in rescue operations at sites of trouble, particularly in detecting and analyzing individuals and their conditions to facilitate efficient rescue efforts.
Innovation Solution
An information processing apparatus that acquires images from a site of trouble, detects persons using image analysis techniques, generates relevant information, and outputs it to assist rescue workers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image analysis is performed in real-time to detect persons and generate information, then the efficiency and effectiveness of rescue operations is improved, but the computational complexity and processing time requirements increase
Solution Approach 1:
The image processing system is divided into distinct functional modules: an acquisition unit for capturing images, an information generation unit for detecting persons and generating information, and an output unit for displaying results. This segmentation allows each module to be optimized independently and improves overall system manageability while maintaining real-time processing capability.
Solution Approach 2:
The system performs person detection and information generation continuously in the background as images are captured, so that when rescue operations need information about persons at the scene, the analysis is already complete or nearly complete. This preliminary processing reduces the perceived response time and improves operational efficiency.
2Measurement precision
If detailed person detection and information generation is performed on every captured image, then the accuracy of person identification is improved, but the processing speed and real-time capability deteriorate
Solution Approach 1:
The information generation unit performs comprehensive person detection and information extraction on images, generating detailed information about detected persons. This excessive action ensures high accuracy in person identification while the system architecture handles the computational load through distributed processing and optimized algorithms, maintaining acceptable processing speeds for real-time rescue operations.
Data Source
AI summary
An information processing apparatus (10) according to the present invention includes: an acquisition unit (11) that acquires an image captured at a site where a trouble happens; an information generation unit (12) that detects a person from the image, and also generates information relevant to the detected person, based on the image; and an output unit (13) that outputs the information relevant to the detected person.