TY - JOUR A2 - Tolba, Amr AU - Li, Mengkun AU - Jia, Junying AU - Lu, Xin AU - Zhang, Yue PY - 2021 DA - 2021/05/10 TI - A Method of Surface Defect Detection of Irregular Industrial Products Based on Machine Vision SP - 6630802 VL - 2021 AB - 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. SN - 1530-8669 UR - https://doi.org/10.1155/2021/6630802 DO - 10.1155/2021/6630802 JF - Wireless Communications and Mobile Computing PB - Hindawi KW - ER -