Morphology detection has always been a key technology in the machining of mechanical parts. Current- ly, there are many shortcomings in the methods for detecting the morphology of mechanical parts, such as error and time-consuming. In order to obtain more ideal results for detecting the morphology of mechanical parts, a method for detecting the morphology of mechanical parts based on laser vision sensors has been designed. Firstly, the research status of mechanical part morphology detection was studied to find the reasons for the poor performance of mechanical part morphology detection. Then, a laser vision sensor was introduced to collect mechanical part images, and the origi- nal images were denoised and equalized to extract mechanical part morphology detection features. Finally, the mechan- ical part morphology detection was performed based on the features, and a simulation test of mechanical part morpholo- gy detection was conducted. The results show that the proposed method has a detection error of 3 μm for part 1 and 5 μm for part 2. The detection time of part 1 is 7 ms, and that of part 2 is 6. 5 ms. The error of mechanical parts topog- raphy detection is reduced effectively, the accuracy of mechanical parts topography detection is improved, and it has higher practical application value.