Rescue Server Selecting Movable Bodies for Target Tracking
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Solution Overview
Problem
Existing search systems for missing dementia patients or lost individuals, such as those described in Japanese Patent Laying-Open No. 2015-111906 and No. 2016-218865, face challenges in maintaining effective tracking and identification due to movable cameras losing sight of the target as they move out of the search area, leading to inefficient searches and increased communication and processing loads.
Innovation Solution
A rescue system comprising a server and movable bodies equipped with detection devices, where the server defines a search area, selects an appropriate movable body within that area, and issues a search command, allowing for efficient targeting and reduced communication and processing loads by limiting information exchange to only necessary vehicles within the defined area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If movable cameras are used to search for the protection target, then the search area coverage is improved, but the system may lose sight of the target when vehicles move out of the search area
Solution Approach 1:
The system dynamically selects which movable bodies (vehicles) should conduct searches based on their real-time positions relative to the search area. The server continuously monitors vehicle positions and updates search assignments to ensure at least one vehicle maintains proximity to the protection target, enabling continuous tracking despite vehicle movement.
Solution Approach 2:
The system implements feedback mechanisms where the server receives position information from movable bodies, determines whether they remain within the search area, and sends updated search commands accordingly. This closed-loop control ensures that search functionality is maintained while vehicles move dynamically within the search region.
2Measurement precision
If information from all movable bodies is transmitted to the server, then the identification accuracy is improved, but the communication load and processing time increase
Solution Approach 1:
The system extracts and processes only the most relevant information from movable bodies - specifically position information and detection results from vehicles currently within the search area. By filtering out data from vehicles outside the search area, the system maintains identification accuracy while significantly reducing communication bandwidth usage and server processing time.
Solution Approach 2:
The server applies different processing priorities to different vehicles based on their locations. Vehicles within the search area receive higher priority for information transmission and processing, while vehicles outside the area have their transmissions reduced or eliminated. This localized quality approach optimizes the balance between identification accuracy and processing efficiency.
Data Source
AI summary
A rescue system includes: a plurality of movable bodies each equipped with a camera; and a server configured to communicate with the plurality of movable bodies. The rescue system identifies a protection target, based on information acquired by the camera. The server is configured to (a) define a search area to be searched for the protection target, (b) acquire positional information about the plurality of movable bodies and select, from movable bodies located within the search area, at least one movable body to be used for searching for the protection target, the movable body being selected as a selected movable body, and (c) output, to the selected movable body, a search command for searching for the protection target.