基于视觉技术的鞋图案缺陷检测系统
By using a vision-based shoe pattern defect detection system, which reconstructs 3D surface models and performs curvature analysis, the system solves the problem of the difficulty in deeply analyzing complex shoe patterns by manual inspection. It achieves efficient and accurate defect detection and automatic processing, thereby improving the quality of footwear production.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- QUANZHOU HUAZHAN SHOES CO LTD
- Filing Date
- 2024-12-10
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the detection of shoe patterns relies on manual visual inspection, which makes it difficult to deeply analyze complex geometric features and texture structures. This results in low efficiency and difficulty in achieving comprehensive data analysis, failing to meet the quality monitoring needs of high-efficiency production.
A shoe pattern defect detection system based on vision technology automatically detects flatness defects in shoe patterns by reconstructing a 3D curved surface model, dividing the area, and analyzing the curvature. It combines algorithms such as binocular vision, corner detection, surface fitting, and least squares method, and then processes the defective shoes with a robotic arm.
It enables accurate detection of defects in shoe patterns, reduces missed and false detections, improves the accuracy and consistency of detection results, and enhances the quality control level of footwear production.
Smart Images
Figure CN119579574B_ABST