Machine vision has wide applications in industry and mainly has four functions:
1. Guiding and Positioning: Visual positioning requires machine vision systems to quickly and accurately locate the part being measured and confirm its position. Machine vision is used for positioning during loading and unloading, guiding the robotic arm to accurately grasp the part. In the semiconductor packaging field, equipment needs to adjust the pick-up head based on the chip position information obtained from machine vision to accurately pick up and bind the chip. This is the most basic application of visual positioning in the machine vision industry.
2. Appearance Inspection: This step involves inspecting products on the production line for quality issues and replaces the most manual labor. In the pharmaceutical field, machine vision primarily inspects dimensions, bottle appearance defects, bottle shoulder defects, and bottle mouth defects.
3. High-precision testing: Some products have high precision, reaching 0.01~0.02m or even micrometer level, which cannot be detected by the human eye and must be completed by machine.
4. Recognition: This involves using machine vision to process, analyze, and understand images to identify targets and objects of various patterns. It enables data traceability and collection, and is widely used in automotive parts, food, and pharmaceuticals.
In summary, machine vision systems enhance production flexibility and automation. They are commonly used to replace human vision in hazardous work environments unsuitable for manual labor or in situations where human vision is insufficient. Furthermore, in mass industrial production, manual inspection of product quality is inefficient and lacks precision; machine vision inspection methods can significantly improve production efficiency and automation. Moreover, machine vision facilitates information integration, making it a fundamental technology for computer-integrated manufacturing.
