In order to solve the problems of long processing cycle and low production efficiency caused by inputting the size information of manually measured paper drawings or model samples into the computer and converting it into electronic processing drawings in garment, packaging and other processing industries, a control system of plane machining machine tool based on machine vision was proposed to realize the rapid detection of paper drawings or model samples. The master-slave motion control system was built by using "ARM+DSP" mode, and the functional modules of each part of the system were designed. A visual detection system of "industrial computer+industrial CCD (charge coupled device) camera+light source control" was built. An improved FAWS (feature adaptive wavelet shrinkage) algorithm was proposed by combining the FAWS algorithm and the sparrow search algorithm to reduce image noise, and the Canny algorithm was used to complete achieve image edge detection so as to achieve the accurate extraction of image contour. The processing programs of image contour extraction, contour data conversion to processing data, data communication, etc. were designed to realize rapid detection based on machine vision and human-computer interaction in the system processing process. Finally, the system was tested and the actual machining effect was evaluated. The results showed that the proposed control system of plane machining machine tool could not only significantly improve the production efficiency, but also reduce the error of image contour. Its performance is stable and reliable, and has certain engineering practical value.