关键词: 机器视觉；冲压领域；缺陷检测；特征识别

Abstract: With the increasing intelligence of automotive stamping shop and the increasing demand for full process inspection in production, the application of machine vision technology in the field of automotive stamping is also becoming more and more widespread. This article analyzes the working principles of traditional machine vision algorithms and deep learning algorithms, and studies the main application scenarios of machine vision technology in the field of automotive stamping,such as defect detection, feature recognition, etc. The main workflow, algorithms, and advantages in practical application cases are elaborated in detail to promote the promotion and application of machine vision technology in the field of automotive stamping, and look forward to the development prospects of machine vision technology in the field of automotive stamping.

Key words: Machine vision; Stamping field; Defect detection; Feature recognition