Hardware part defect detection method and system

• Main Authors: ZHAO JIANXIANG, QIU LIANGJUN
• Format: Patent
• Language: Chinese; English
• Published: 05.07.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention provides a hardware part defect detection method and system, and the method comprises the steps: collecting a hardware part standard picture and a defect sample picture image of a hardware part with a defect, and carrying out the pixel change processing and graying processing of the image; constructing a hardware part three-dimensional model, and extracting feature points of the hardware part three-dimensional model to obtain a defect detection model of the hardware part; acquiring image information of a detected picture of the hardware part and importing the image information into the defect detection model; and determining defect positions and types by using a region shape positioning method. The system comprises modules corresponding to the steps. 本发明提出了一种五金零件缺陷检测方法及系统，所述检测方法包括采集五金零件标准图片及对应有缺陷的五金零件的缺陷样本图片图像，并对所述图像进行像素变化处理与灰度化处理；构建五金零件三维模型，提取所述五金零件三维模型的特征点，得到五金零件的缺陷检测模型；获取五金零件被检测图片的图像信息并导入所述缺陷检测模型；利用区域形状定位方法确定缺陷位置及类别。所述系统包括所述步骤对应的模块。