What is the main workflow of a machine vision system?

1. The workpiece positioning detector detects that the object has approached the center of the camera system's field of view and sends a trigger pulse to the image acquisition part.

2. The image acquisition part sends a start pulse to the camera and lighting system according to the preset program and delay.

3. The camera stops the current scan and restarts a new frame scan, or the camera is in a waiting state before the start pulse arrives and starts a frame scan after the start pulse arrives.

4. Start the exposure mechanism before the camera starts scanning a new frame. The exposure time can be set in advance.

5. Another start pulse turns on the lighting, and the lighting on time must match the camera exposure time.

6. After the camera is exposed, it officially starts scanning and outputting a frame of image.

7. The image acquisition part receives the analog video signal and digitizes it through A/D, or directly receives the digital video data digitized by the camera.

8. The image acquisition section stores the digital image in the memory of the processor or computer.

9. The processor processes, analyzes, and recognizes the image to obtain measurement results or logical control values.

10. The processing results control the movement of the assembly line, position the assembly line, correct motion errors, etc.

As can be seen from the above workflow, machine vision is a relatively complex system. Because the objects monitored by the system are mostly moving, motion matching and coordination between the system and the moving objects are particularly important. This places strict demands on the motion time and processing speed of each component of the system. In some application areas, such as robotics and aircraft guidance, strict requirements are placed on the weight, volume, and power consumption of the entire system or parts of it.