Machine vision is a key technology to achieve high detection accuracy for the compensation hole parameters of automobile brake master cylinders, which influence automobile safety and parking reliability. As an important part of the automobile brake master cylinder, the compensation hole can play an important role in regulating the brake fluid in the reservoir tank and brake chamber, and its dimensional accuracy and processing quality are strictly controlled. Therefore, determining how to accurately obtain images of the compensation hole is a primary problem in the detection of compensation hole parameters. In this paper, fully automatic equipment for compensation hole detection in automobile brake master cylinders is designed using an image processing algorithm to realize the automatic positioning of the compensation hole and automatic detection of size parameters. Experiments show that the automatic positioning and detection time for the compensation hole is less than 8 s, the detection accuracy of the compensation hole size is higher than ±0.021 mm, and the position detection accuracy for the compensation hole is higher than ±0.045 mm. The compensation hole detection technology proposed in this paper provides high real-time performance and good robustness while meeting accuracy requirements and detection speed.

机器视觉是实现汽车制动主缸补偿孔参数高检测精度的关键技术，影响汽车安全和停车可靠性。补偿孔作为汽车制动总泵的重要组成部分，可以起到调节储液罐和制动室制动液的重要作用，其尺寸精度和加工质量受到严格控制。因此，确定如何准确获取补偿孔图像是补偿孔参数检测的首要问题。在本文中，全自动汽车制动主缸补偿孔检测设备采用图像处理算法设计，实现补偿孔的自动定位和尺寸参数的自动检测。实验表明，补偿孔自动定位检测时间小于8 s，补偿孔尺寸检测精度高于±0.021 mm，补偿孔位置检测精度高于±0.045 mm。本文提出的补偿孔检测技术在满足精度要求和检测速度的同时，具有较高的实时性和良好的鲁棒性。补偿孔尺寸检测精度高于±0.021mm，补偿孔位置检测精度高于±0.045mm。本文提出的补偿孔检测技术在满足精度要求和检测速度的同时，具有较高的实时性和良好的鲁棒性。补偿孔尺寸检测精度高于±0.021mm，补偿孔位置检测精度高于±0.045mm。本文提出的补偿孔检测技术在满足精度要求和检测速度的同时，具有较高的实时性和良好的鲁棒性。