What are the working processes of a machine vision system?

The main working process of a complete machine vision system is as follows:

1. The workpiece positioning detector detects that the object has moved close to 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 start pulses to the camera and lighting system respectively 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. The camera opens the exposure mechanism before starting a new frame scan, and the exposure time can be set in advance.

5. Another start pulse turns on the light illumination. The turn-on time of the light should match the exposure time of the camera.

6. After the camera is exposed, the scanning and output of a frame of image officially begins.

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

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

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

10. The processing results control the movement of the assembly line, positioning, correcting motion errors, etc.

As can be seen from the above workflow, machine vision is a relatively complex system. Because most system monitoring objects are moving objects, the matching and coordinated actions of the system and the moving objects are particularly important, which imposes strict requirements on the action time and processing speed of each part of the system. In some application fields, such as robots and flying object guidance, there are strict requirements on the weight, volume and power consumption of the entire system or a part of the system.