柔性玻璃盖板表面缺陷检测方法及其装置
By binarizing images of flexible glass covers and fusing clustering algorithms with recursive algorithms, surface defects of flexible glass covers can be automatically detected, solving the problems of high cost and low efficiency of manual inspection and achieving efficient and stable defect identification.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TOMI CHENGDU APPLIED TECH RES INST CO LTD
- Filing Date
- 2022-02-24
- Publication Date
- 2026-07-17
AI Technical Summary
In the current technology, the detection of surface defects of flexible glass covers for smartphones mainly relies on manual visual inspection, which is costly, inefficient, difficult to detect and has unstable results. In particular, it is harmful to the human eye in strong light environments and is difficult to detect tiny defects.
By acquiring images of flexible glass covers and performing binarization processing, the target connected components and center points are determined. Then, using a chain-like connection method combining clustering and recursive algorithms, dense point defect areas are automatically detected.
It enables automated detection of surface defects in flexible glass covers, reduces labor costs, improves detection efficiency and accuracy, reduces false detections, and meets the requirements for real-time online detection.
Smart Images
Figure CN116703804B_ABST