关键词: 零件识别, 图像特征提取, 霍夫变换, 支持向量机, 智能引导, 航天电连接器

Abstract: To improve the manual assembly efficiency of aerospace products,a visual-based intelligent recognition and assembly guide method of aerospace electrical connectors was proposed.The area of parts in the original image was extracted with skin color feature and contour feature of electrical connector.The feature of electrical connector and SIFT feature were extracted into support vector machine classifier training to get the part training model.With Hough Transform (HT) and part training model,the on-line classification and identification of electrical connectors were realized.The whole process was automated.Through the pre-construction of three-dimensional assembly process information model,the corresponding parts of assembly process information was triggered and retrieved with identification results in real time to guide the assembly.The test result of the proposed method proved that the average accuracy rate of part recognition was more than 90% and the recognition time of each image were in two seconds,which could meet the requirements of identification accuracy and efficiency.

Key words: part recognition, image feature extraction, Hough transformation, support vector machine, intelligent guidance, aerospace electrical connection