Briefly describe the main functions of machine vision systems

A typical machine vision system includes: light source, lens, camera (CCD camera and CMOS camera), image processor (hardware), image processing software, display, execution unit and other hardware components. It implements various detection, judgment, identification, measurement and other functions respectively. for example:

1. Defect detection

Defect detection is widely used in metal, electronics, film, non-woven fabrics, paper and other industries. It is mainly used to detect whether there are scratches, stains and other defects on the surface of the product that do not meet product quality requirements. It is the most widely used field of visual technology.

2. Visual measurement

Vision measurement is mainly used in the semiconductor industry. In theory, visual measurement is easy to implement. However, in terms of industrial applications, the main problem currently is how to ensure the accuracy and stability of measurements.

3. Visual guidance   

Visual guidance is widely used in manipulators, robots and other industries. It guides the machine position coordinates through the visual system to achieve accurate positioning of the machine. Currently, almost all robots require the cooperation of machine vision systems.

4. Visual Identification

At present, visual recognition is mainly used in face recognition, license plate recognition, etc.