The low cost and ease of use of visual sensors has attracted machine designers and process engineers to integrate them into a variety of applications that have relied on manual, multiple photo sensors, or have not been tested at all. Industrial applications of vision sensors include inspection, metrology, measurement, orientation, helium detection, and delivery. The following small series introduces vision sensor classification and vision sensor working principle.
Vision sensor classification
Charge-coupled devices, which use a high-sensitivity semiconductor material, convert light into electric charge and convert it into a digital signal through an analog-to-digital converter chip.
2. Complementary Metal Oxide Semiconductor CMOS, mainly made of silicon and germanium, is made up of semiconductors that make it possible to coexist semiconductors with N and P levels on the CMOS. The current generated by these two complementary effects is The chips can be processed and interpreted as images. The CCD type image sensor has low noise and its performance is still good under very dark environmental conditions. The CMOS image sensor is of high quality and can be driven with a low voltage power supply and has a simple peripheral circuit.
How Vision Sensors Work
Visual sensors have the ability to capture thousands of pixels of light from an entire image. Sensors can "see" very detailed target images no matter how many meters or centimeters away from the target. After the image is captured, the vision sensor compares it with a reference image stored in memory for analysis. For example, if the vision sensor is set to identify a machine part with eight bolts correctly inserted, the sensor knows that only seven bolts should be rejected, or that the bolts are misaligned. In addition, the visual sensor can make a decision regardless of the position of the machine component in the field of view, whether or not the component rotates within 360 degrees.
Vision sensor applications
1. For different automobile assembly plants, the visual sensor in this area is mainly responsible for verifying whether the bead of the relevant door frame operated by the robot is in compliance with the standard and whether it has maintained the correct width.
2, the application of visual sensors also includes various types of bottling plants, and the presence of visual sensors can help everyone verify that the assembly of the cap is to meet the correct sealing standards. In addition, it is also possible to check whether the filling level in the bottle is in line with the standard. Not only that, but the vision sensor can also check if any foreign objects have fallen into the bottle before capping the bottle.
3, the application of visual sensors also includes a variety of ordinary packaging factory, in which such manufacturers can visual sensors can check whether the relevant location affixed to the standard packaging labels.
4. Among various types of pharmaceutical packaging production lines, visual sensors can check the presence of various broken and missing tablets in the packaging of aspirin medicines.
Editor's summary: The vision sensor classification and visual sensor working principle are introduced here, and we hope to help everyone. If you want to know more about yourself, you can follow the information on this site.
Sensor vision sensor classification
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