A truck overload intelligent analysis system and method based on machine vision
Through the intelligent truck overload analysis system based on machine vision, the truck wheel image data is identified and analyzed, and the problems of poor flexibility and high cost of truck overload detection in the prior art are solved, and flexible, economical and real-time overload monitoring is achieved.
CN118865275BActive Publication Date: 2025-03-18ZHEJIANG DODINDZ ELECTRONICS CO LTD
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Patent Information
- Application Number
- CN202410873575.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-02
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2044-07-02
AI Technical Summary
Technical Problem
Existing truck overload detection mainly relies on weighing methods, which have problems such as poor flexibility, high cost and susceptibility to electromagnetic interference.
Method used
An intelligent truck overload analysis system based on machine vision is adopted to capture and analyze truck wheel image data, identify the boundary distance between the wheel image and the wheel arch image, and conduct comprehensive differential analysis through prior image data to determine whether the truck is overloaded.
Benefits of technology
It realizes the flexibility and cost-effectiveness of truck overload detection, can be deployed according to actual needs, and provides stable, reliable and real-time overload monitoring services.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention relates to the technical field of highway overload control, and specifically to a machine vision-based intelligent analysis system and method for truck overload, comprising a capture layer, an analysis layer and a determination layer: truck wheel image data is captured by the capture layer, the capture layer simultaneously optimizes and processes the captured truck wheel image data and identifies an application area, and the truck wheel image data is segmented based on the application area identification result to obtain application area image data. The present invention collects the truck wheel image data and analyzes the distance between the truck wheel and the wheel arch, thereby determining whether the truck is overloaded based on the distance analysis. In the process of analyzing whether the truck is overloaded, prior data is uploaded as a reference for truck overload, which is different from determining whether the truck is overloaded by weighing. The system has good flexibility, can be deployed according to actual needs, and has relatively low cost, which is conducive to controlling the overall cost of truck overload control.
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