Abstract

Pick up and placement tools (collet) are one of important tools for semi-conduct manufacturing process. It should have acceptable precision and reliability of shape to pick the piece of wafer and chip without damages. To defect detection of pick up tools such as wrong size of hole and flaw in collet surface plays an important role in tool manufacturing process. In this study, we propose a visual inspection system to defect detection based on pattern matching algorithm. Experiments were performed to evaluate the proposed visual inspection system and showed 99.3% of success rate to detect defection.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.