Abstract
Detection of multiple defects on a surface of specified material is an important application of machine vision in the manufacturing environment. Several procedures have been developed to detect the existence of defects such as scratches, cracks or bubbles which may occur during production processes and handling of materials such as glass and plastics. However, few procedures classify the determined defect. This paper presents an integrated robotic and machine vision system along with an algorithm for detection/classification of both multiple defects and the color quality of the inspected material.
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 callDisclaimer: 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.
