Machine vision or computer vision is the use of robots to replace human eyes for measurement and judgment, and is an important aspect of pattern recognition research. Computer vision is usually divided into two categories: low-level vision and high-level vision. Low-level vision mainly performs preprocessing functions, such as edge detection, moving target detection, texture analysis, as well as three-dimensional modeling, surface color, etc. The main purpose is to make the objects seen are more prominent. This is not yet the understanding stage. High-level vision is mainly to understand objects and need to master the knowledge related to objects.
3D depth camera is the perfect choice for machine vision. 3D depth camera can perform parallel processing of images in real time, compression, transmission and restoration of real-time images, modeling and recognition of 3D scenes, dynamic and time-varying vision, etc. The machine vision system refers to converting the captured target into an image signal through a 3D depth camera, which is transmitted to a dedicated image processing system, and converted into a digital signal according to pixel distribution, width, color and other information, and the image system processes these signals. This kind of operation extracts the characteristics of the target, and then controls the operation of the equipment in the field according to the result of the judgment. The 3D depth camera enables machine vision to perceive and process geometric information such as the shape, position, posture, and motion of objects in a three-dimensional environment.
3D depth cameras are widely used, mainly in electronics, machine vision, people counting, industrial measurement and manufacturing industries. 3D depth cameras have been widely used in various aspects of quality inspection.
