一种ALC板材的外观质量检测方法及系统
The ALC sheet appearance quality inspection method, which utilizes lidar and lens depth-of-field adjustment, filters out abnormal circles of confusion by taking advantage of the characteristics of the circle of confusion. Combined with statistical analysis and deep depth-of-field imaging, it solves the problem of high computational complexity in existing inspection systems and achieves efficient and accurate defect identification and detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANDONG RASHIDUN PREFABRICATED CONSTR CO LTD
- Filing Date
- 2025-09-24
- Publication Date
- 2026-07-17
AI Technical Summary
The existing ALC sheet appearance quality inspection system suffers from high computational complexity and time cost due to the large and complex number of features contained in the entire image, making it unable to meet the needs of rapid production.
The distance between the camera and the board is measured by LiDAR, the lens focus point is adjusted and the depth of field is switched, the image is cropped and acquired, abnormal circles of confusion are screened using the characteristics of the circle of confusion, statistical analysis is performed and target areas are merged, and detailed images are obtained by combining deep depth of field shooting, and the model is input to identify the defect type.
It improves the accuracy and efficiency of defect identification, reduces the system's computing power requirements, and is adaptable to different specifications and types of ALC boards, exhibiting wide applicability and good adaptability.
Smart Images
Figure CN121027116B_ABST