High-speed and efficient machine vision plastic product quality inspection system

 During the molding process of plastic products, various surface defects will affect the subsequent molding process of the product, its appearance, performance, integrity, and even safety. Therefore, timely detection of surface defects in plastic products is of great significance. The application of high-speed and efficient machine vision plastic product quality inspection systems can already be seen.

1. Overview of the plastic products industry

In the production process, the detection technology of surface defects of plastic products is an important means of product quality control and is widely used in the quality control of industrial processes. At present, many companies still use manual visual inspection for surface defects in large quantities of small workpieces. On the one hand, this method can easily cause missed inspections due to workers' sense of responsibility and physiological conditions such as eye fatigue; on the other hand, the huge workload can also easily affect the health of workers. Therefore, in order to improve inspection quality and production efficiency, reduce costs, and free operators from monotonous and tedious work, a reasonably designed surface defect automatic inspection system is a very important topic in industrial automation quality control.

2. Application of machine vision inspection system

Machine vision is an interdisciplinary subject involving many fields such as artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition, etc. Machine vision mainly uses computers to simulate humans or reproduce certain intelligent behaviors related to human vision, extract information from images of objective things, process and understand them, and finally use them for actual detection and control. Applying machine vision technology to intelligently and automatically detect surface defects in plastic products can improve detection efficiency and accuracy, while also greatly improving production efficiency and automation.