In recent years, the surface defect detection technology of irregular industrial products based on machine vision has been widely used in various industrial scenarios. This paper takes Bluetooth headsets as an example, proposes a Bluetooth headset surface defect detection algorithm based on machine vision to quickly and accurately detect defects on the headset surface. After analyzing the surface characteristics and defect types of Bluetooth headsets, we proposed a surface scratch detection algorithm and a surface glue-overflowed detection algorithm. The result of the experiment shows that the detection algorithm can detect the surface defect of Bluetooth headsets fast as well as effectively, and the accuracy of defect recognition reaches 98%. The experiment verifies the correctness of the theory analysis and detection algorithm; therefore, the detection algorithm can be used in the recognition and detection of surface defect of Bluetooth headsets.

中文翻译：

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基于机器视觉的不规则工业产品表面缺陷检测方法

近年来，基于机器视觉的不规则工业产品的表面缺陷检测技术已广泛应用于各种工业场景。本文以蓝牙耳机为例，提出了一种基于机器视觉的蓝牙耳机表面缺陷检测算法，可以快速，准确地检测出耳机表面的缺陷。在分析了蓝牙耳机的表面特征和缺陷类型之后，我们提出了一种表面划痕检测算法和一种表面胶溢出检测算法。实验结果表明，该检测算法能够快速有效地检测出蓝牙耳机的表面缺陷，缺陷识别的准确率达到98％。实验验证了理论分析与检测算法的正确性。所以，