Design of automated assembly line quality control system based on machine vision
This paper conducts an in-depth study on a quality control system for automated assembly lines based on machine vision,proposing an integrated solution that incorporates advanced machine vision technologies. By utilizing high-precision image capture devices and intelligent algorithms,the system achieves real-time quality monitoring of products on the assembly line,enabling automated identification and defect detection. The paper begins by discussing the application background and significance of machine vision in quality control for automated assembly lines,followed by a detailed description of the specific implementation steps of the system design,including key technologies such as image capture,image processing,and defect recognition. Finally,the paper summarizes the research findings and offers an outlook on future research directions.
万方数据
维普
