基于机器视觉的蓝牙耳机表面缺陷检测方法*

2021 IEEE 24th International Conference on Computational Science and Engineering (CSE) Pub Date : 2021-10-01 DOI:10.1109/CSE53436.2021.00010

Xin Lu, Junying Jia, Zhiwei Pei, Daolin Wang, Jialin Wang, Bo Sun

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引用次数: 0

摘要

近年来，基于机器视觉的不规则物体表面缺陷检测技术在各种工业场景中得到了广泛的应用。本文以蓝牙耳机为例，提出了一种蓝牙耳机表面缺陷检测方法。通过对蓝牙耳机表面特征和缺陷类型的分析，准确检测出蓝牙耳机表面的划痕和溢胶问题。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表面缺陷，缺陷识别准确率达到98%。因此，该检测算法在工业上具有一定的实际应用价值。

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A Method of Surface Defect Detection of Bluetooth Headset Based on Machine Vision*

The surface defect detection technology of irregular object based on machine vision has been widely used in various industrial scenarios in recent years. In this paper, we take Bluetooth headsets as an example, propose a Bluetooth headset surface defect detection method. Based on the analysis of the surface characteristics and defects types of Bluetooth headset, the scratch and glue-overflowed problem on the surface of the headset are accurately detected. The experimental results shows that the detection algorithm can quickly and effectively detect the surface defects of Bluetooth headset, and the accuracy of defect recognition reaches 98%. Therefore, the detection algorithm has a certain practical application value in industry.

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来源期刊

2021 IEEE 24th International Conference on Computational Science and Engineering (CSE)

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