Single-frame structured light gear fault three-dimensional measurement method and system based on deep learning

The invention provides a single-frame structured light gear fault three-dimensional measurement method and system based on deep learning, and the method comprises the steps: 1), calibrating a projector and a camera, and building a projector-camera internal and external parameter model; 2) generating a single-frame coding fringe pattern, projecting the single-frame coding fringe pattern to the surface of the measured gear, and collecting a deformed fringe pattern; 3) inputting the single-frame deformed fringe pattern into a wrapped phase recovery model based on a GPD-Net network to wrap the phase; 4) calculating an absolute phase of each pixel point in the image through a wrapped phase; 5) calculating a three-dimensional space coordinate of the gear fault surface corresponding to each pixel point according to the internal and external parameter model and the absolute phase; and 6) analyzing the obtained fault three-dimensional point cloud data, and completing high-precision and rapid three-dimensional reconstr