Numerical control lathe machining auxiliary system based on machine vision

The invention provides a numerical control lathe machining auxiliary system based on machine vision. The numerical control lathe machining auxiliary system comprises a roughness detection part, a data processing part and a workpiece machining data display part. Wherein in the roughness detection part, a camera is adopted to shoot the surface of a workpiece, and a convolutional Hoosheng network model is used to carry out roughness detection; the data processing part is used for packaging a machine vision algorithm to identify the roughness of the workpiece and the end face size of the workpiece; and the workpiece machining data display part is used for displaying the obtained roughness data, so that a machining worker can monitor the workpiece machining condition in time. The method has the beneficial effects that turning workers can be assisted in monitoring the workpiece machining process in real time, remedial measures can be taken in time when abnormity is found, and losses caused in the machining process