Research on the application of machine vision technology in industrial automation assembly line

With the rapid development of industrial automation, the application of machine vision technology in assembly lines is becoming more and more extensive. This study mainly discusses the application of machine vision technology in industrial automation assembly lines, focusing on the visual inspection system based on an edge detection algorithm. By using the edge detection algorithm in image processing technology, the accuracy of the workpiece's position, shape and size is realized, effectively improving the automation level and work efficiency of the assembly line. This paper designs a complete machine vision system, including image acquisition, preprocessing, feature extraction and subsequent detection algorithm. This paper conducts detailed algorithm simulation and model testing to verify the system's effectiveness. The simulation results show that the designed edge detection algorithm has high accuracy and stability in the industrial automation environment; the detection accuracy reaches 0.01mm, and the system error is controlled within 0.5%. This study provides strong technical support for the future intelligent development of industrial automation assembly lines.