Robot vision makes the robot have a visual perception function and is one of the important parts of the robot system. At present, it is widely used in the industrial sectors such as electronics, automobiles, machinery, and medical and military fields. For the design of robot vision technology, there are several difficulties:
First, the stability of lighting
Industrial vision applications are generally divided into four categories: positioning, measurement, detection, and identification, where the measurement requires the highest stability of illumination, because as long as the illumination changes by 10-20%, the measurement results may deviate by 1-2 pixels. This is not a software problem. This is a change in illumination, which causes a change in the position of the edge of the image. Even if the software is not solved, the problem must be solved. From the perspective of system design, the interference of ambient light must be eliminated, and the active illumination source must be guaranteed. Luminescence stability. Of course, the improvement of the resolution of the hardware camera is also a way to improve the accuracy and resist environmental interference. For example, the space size of the camera corresponding to the previous camera is 10 pixels per pixel, and by increasing the resolution to become 1 pixel 5um, the accuracy can be considered to be doubled, and the interference to the environment is naturally enhanced.
Second, the position of the workpiece is not consistent
Generally, the measurement project, whether it is offline detection or online detection, as long as it is a fully automated testing equipment , the first step is to find the target to be tested. Every time the object to be tested appears in the field of view, it is necessary to know exactly where the object to be tested is, even if you use some mechanical fixtures, etc., it is not possible to ensure that the object to be tested appears in the same position every time. This requires the positioning function. If the positioning is not accurate, the position where the measuring tool appears may be inaccurate, and the measurement result may sometimes have a large deviation.
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