Vehicle Search System Using Distributed Camera Filtering
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Solution Overview
Problem
Existing vehicle search systems face increased communication traffic and processing loads due to the transmission of data from all vehicles to a server for analysis, which is inefficient and can overwhelm the system as more vehicles with cameras join the network.
Innovation Solution
A vehicle search system where the server transmits specific search target vehicle data to vehicles equipped with cameras, allowing them to determine if detected vehicles match the search criteria and only transmit relevant information back to the server, thereby reducing unnecessary data transfer and processing loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all vehicle data is transmitted to the server for analysis, then the server can accurately identify search target vehicles, but communication traffic and processing loads increase significantly
Solution Approach 1:
The server transmits search target vehicle data (including identification plate information and vehicle characteristics) to vehicles in advance before the actual search operation. This preliminary distribution of search criteria enables vehicles to perform local filtering of detected vehicles against the search targets, significantly reducing the volume of data that needs to be transmitted to the server while maintaining accurate detection capability.
2Measurement precision
If all vehicle data is transmitted to the server for analysis, then the server can accurately identify search target vehicles, but processing load on the server increases
Solution Approach 1:
The system divides the search processing task into two segments: (1) The server performs segmentation by distributing search target vehicle data to multiple vehicles, and (2) Each vehicle independently performs segmentation by filtering detected vehicles against the received search criteria. This segmentation of processing load from centralized server to distributed vehicles reduces server processing burden while maintaining detection accuracy through collaborative filtering.
3Adaptability or versatility
If more vehicles with cameras join the network, then search coverage improves, but communication traffic and processing loads increase
Solution Approach 1:
Each vehicle equipped with a camera autonomously performs the search function by comparing detected vehicles against the search target data received from the server. This self-service capability means that as more vehicles join the network, each vehicle independently contributes to search coverage without proportionally increasing the communication burden on the server, since the filtering work is performed locally at each vehicle rather than requiring centralized processing of all vehicle data.
Data Source
AI summary
A vehicle search system includes a vehicle incorporating a vehicle-mounted camera and a server configured to communicate with the vehicle. The server transmits search target vehicle data for specifying a search target vehicle to the vehicle. The vehicle is configured to (a) store the search target vehicle data from the server and (b) transmit, when a vehicle detected by the vehicle-mounted camera falls under search target vehicles included in the search target vehicle data, detection information on the detected vehicle to the server.