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Enterprise trends

Technical characteristics of 3D machine vision

2021-09-15

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Because 2D vision cannot obtain spatial coordinate information of objects, it does not support shape-related measurements such as object flatness, surface angle, volume or features such as distinguishing objects of the same color or between object positions with touching sides Distinguish, and measure the contrast of an object with 2D vision, which means that it is particularly dependent on lighting and color or grayscale variations, and the measurement accuracy is susceptible to variations in lighting conditions. And 3D machine vision can obtain the three-dimensional information of the object, so as to complete the measurement of flatness, angle, volume and so on. In addition, in traditional 2D, some detection scenes without contrast but with depth differences can be detected with 3D vision.

industrial 3d camera

In the field of industrial inspection, we often face such a problem. The defect categories of products are ever-changing, and the characters to be recognized are various. In the traditional vision algorithm, it is more to extract image features, summarize the characteristics of defects, and use certain parameters to describe the features. However, in today's increasingly complex application scenarios, traditional visual recognition algorithms are increasingly difficult to solve these differences, and there are also big problems in recognition accuracy and recognition efficiency. In the face of such needs, the combination of deep learning technology and machine vision has solved this problem well.