The essence of a vision measuring machine is the combination of optical imaging + geometric calculation, and its core logic can be broken down into three basic elements:

• Optical Imaging Foundation: Convert the optical signal of the measured object into an electronic signal through an industrial lens. Core parameters include focal length (affects the field of view), depth of field (affects the longitudinal range of clear imaging), and distortion rate (affects the authenticity of imaging).

• Pixel Coordinate Conversion: Convert the pixel coordinates on the CCD/CMOS sensor into coordinates in the physical world through a calibration algorithm, involving pixel equivalent (1 pixel corresponds to the actual physical length) and system error compensation.

• Geometric Feature Extraction: Extract geometric features such as points, lines, circles, and arcs from images through algorithms like edge detection, grayscale analysis, and contour matching, and calculate their dimensions, positions, and geometric tolerances.