一种基于视觉识别的乳白石英厚壁管拉制缺陷识别系统
By using a vision-based defect identification system for thick-walled quartz tubes, combined with image acquisition, surface quality analysis, and adjustment modules, the system solves the problems of accuracy and real-time performance in identifying defects during the drawing process of thick-walled quartz tubes. It enables rapid screening and accurate identification of surface and internal defects, thereby improving the adjustment efficiency of the production process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JIN ZHOU SEMICON NEW MATERIAL CO LTD
- Filing Date
- 2026-05-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for identifying defects in thick-walled quartz tubes suffer from problems such as strong subjectivity, poor real-time performance, high false negative rate, and difficulty in identifying hidden defects. In particular, the lack of consideration for weak scattering anomaly detection and process closed-loop adjustment leads to poor defect identification accuracy.
A visual recognition-based defect identification system for thick-walled quartz tubes is adopted. The system acquires tube images through an image acquisition module, determines defects through a surface quality analysis module, and adjusts drawing parameters, including gas content, drawing speed, and cooling rate, based on ultrasonic characterization values and response characteristic values, to achieve accurate identification and timely adjustment of surface and internal defects.
It enables rapid screening and accurate identification of surface and internal defects in thick-walled milky quartz tubes, reduces computational overhead and inspection time, compensates for the inability of conventional visual inspection to detect latent defects, and improves the accuracy of defect identification and the adjustment efficiency of the production process.
Smart Images
Figure CN122217975B_ABST