Camera calibration procedure for extracting form deviation features in machined parts through computer vision algorithms

Camera calibration and computer vision algorithms have revolutionized form deviation analysis in machined parts. This study focuses on the camera calibration procedure for extracting form deviation features using 45 image captures of curves, lines, and slope geometries. The calibration process involves capturing high-quality images of a calibration pattern with known dimensions from various angles and orientations. The acquired images are then processed using computer vision algorithms to estimate the camera parameters. Once calibrated, the camera captures images of machined parts with curve, line, and slope geometries. Computer vision algorithms are applied to analyze these images and extract relevant form deviation features. The results demonstrate the effectiveness of the camera calibration procedure in accurately measuring form deviations in machined parts with curve, line, and slope geometries.