The working process of machine vision system

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【概要描述】The concept of machine vision system has a long history, but it has not been really recognized by the public until recent years, with the development of the Internet, machine vision detection is a sunrise industry, through the combination of automation equipment, can create value for enterprises. Next, I will give you a detailed introduction to the working process of machine vision testing equipment: 1. First, the workpiece detector is used to detect whether the object is close to or moves to the center of the camera field of vision, and the image acquisition card sends a trigger pulse signal. 2. The image acquisition card sends startup pulse to the camera or lighting device according to the program and delay preset by the designer, but some cameras and lighting devices start when the system is initialized. 3. The camera stops the current scan and starts a new frame scan. Sometimes the camera needs to wait before the start pulse arrives and start the frame scan after the start pulse arrives. 4. If the exposure strategy is used, open the exposure structure before the camera starts a new frame scan. The exposure time is set by the program or hardware according to your actual needs. 5. If using an exposure strategy, use another start pulse to turn on the lighting, especially to match the start time to the camera exposure time. 6. After the camera is exposed, scan and output a frame of image. 7. If the output of the camera is analog signal, the image acquisition card will convert the signal received by the camera into A/D and digitize it; if the output is digital signal, the image acquisition card will be saved. 8. The image acquisition card sends the image signal to the buffer, processor or computer memory for image processing and display. 9. The processor or computer processes, analyzes and recognizes the image, obtains measurement results or logical control variables, and then processes according to these results to control other devices (such as mechanical equipment) to complete relevant actions and positions. Correcting motion errors, for example, correcting the position of a robotic arm.

The concept of machine vision system has a long history, but it has not been really recognized by the public until recent years, with the development of the Internet, machine vision detection is a sunrise industry, through the combination of automation equipment, can create value for enterprises.

Next, I will give you a detailed introduction to the working process of machine vision testing equipment:

1. First, the workpiece detector is used to detect whether the object is close to or moves to the center of the camera field of vision, and the image acquisition card sends a trigger pulse signal.

2. The image acquisition card sends startup pulse to the camera or lighting device according to the program and delay preset by the designer, but some cameras and lighting devices start when the system is initialized.

3. The camera stops the current scan and starts a new frame scan. Sometimes the camera needs to wait before the start pulse arrives and start the frame scan after the start pulse arrives.

4. If the exposure strategy is used, open the exposure structure before the camera starts a new frame scan. The exposure time is set by the program or hardware according to your actual needs.

5. If using an exposure strategy, use another start pulse to turn on the lighting, especially to match the start time to the camera exposure time.

6. After the camera is exposed, scan and output a frame of image.

7. If the output of the camera is analog signal, the image acquisition card will convert the signal received by the camera into A/D and digitize it; if the output is digital signal, the image acquisition card will be saved.

8. The image acquisition card sends the image signal to the buffer, processor or computer memory for image processing and display.

9. The processor or computer processes, analyzes and recognizes the image, obtains measurement results or logical control variables, and then processes according to these results to control other devices (such as mechanical equipment) to complete relevant actions and positions. Correcting motion errors, for example, correcting the position of a robotic arm.

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