Five working principles of screw optical image screening machine

    The high-precision inspection machine explains the five working principles of the screw optical image screening machine.

    The screw optical image screening machine, that is, the machine vision inspection machine, the road screw optical image screening machine uses an industrial camera to convert the detection target into an image, so do you know the principle of other screw optical image screening machines? Let me introduce you.

    Five working principles of screw optical image screening machine:

    1. The screw optical image screening equipment uses an industrial camera to convert the detected target into an image signal, and converts it into a digital signal according to the pixel distribution, brightness, color and other information. The image processing system performs various operations on these signals to extract the characteristics of the target , Such as area, quantity, location, length, and output the result according to the preset tolerance and other conditions, including size, number, etc.

    2. Screw optical image screening equipment to detect objects.

    3. All kinds of screws, nuts, gaskets and other components.

    4. The advantages of optical image screening equipment and traditional manual comparison.

    5. It is necessary to fully inspect the appearance and size quality, manual long-term visual inspection, eye fatigue leads to low product inspection efficiency and low precision. Using machine vision to replace artificial vision can greatly improve production efficiency and inspection accuracy, and reduce labor costs.

    The above is an introduction to the five working principles of the screw optical image screening machine. With the development and upgrade of the domestic industry, all kinds of precision parts (such as automobile screws, electronic screws) need to be fully inspected for appearance and dimensional quality, and long-term visual inspection by manual labor. , Eyes are prone to fatigue, resulting in low product inspection efficiency and low accuracy. Using machine vision to replace artificial vision can greatly improve production efficiency and inspection accuracy, reduce customer complaints, and reduce labor costs.