A machine vision ceramic chip welding quality real-time detection method and system
CN121236008BActive Publication Date: 2026-04-21ZHEJIANG JIAKANG ELECTRONICS CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG JIAKANG ELECTRONICS CO LTD
- Filing Date
- 2025-09-16
- Publication Date
- 2026-04-21
AI Technical Summary
Technical Problem
Existing ceramic chip welding technologies suffer from low efficiency and low precision in quality inspection.
Method used
A real-time detection method for ceramic chip welding quality using machine vision is proposed. By acquiring front and back images after welding, a welding fullness and wire size recognizer is constructed using a convolutional neural network to identify welding fullness and wire size, and to perform consistency verification. Finally, welding quality parameters are calculated.
Benefits of technology
It improves the efficiency and accuracy of ceramic chip welding quality inspection, reduces human error, increases production efficiency and product qualification rate, and reduces human interference factors.
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Smart Images
Figure CN121236008B_ABST
Abstract
This invention discloses a machine vision-based real-time detection method and system for ceramic chip welding quality, relating to the field of welding quality inspection. The method includes: acquiring front and back welding images of the ceramic chip after welding; identifying weld fullness and welding wire dimensions to obtain front and back weld fullness, as well as front and back welding wire dimensions; verifying the front and back weld fullness, and the front and back welding wire dimensions to obtain welding consistency parameters; and calculating ceramic chip welding quality parameters based on the welding consistency parameters, front and back weld fullness, and front and back welding wire dimensions. This invention improves the welding quality inspection effect of ceramic chips through a real-time ceramic welding quality monitoring method and system, solving the problem of low welding quality.
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Citation Information
Patent Citations
Chip weld leg welding quality detection method and system
CN116309568A
KR20250051443A