Application of computer vision technology in industrial automation

Abstract

With the continuous development of artificial intelligence and Internet of Things technology, the manufacturing industry is transforming and upgrading from automation to intelligence. Countries continue to increase support and investment in intelligent manufacturing from the policy and financial aspects. This paper mainly studies the application of computer vision technology in the field of industrial automation. In this paper, the sparse representation algorithm is applied to the category detection of artifacts with arbitrary orientation. By establishing the Gabor feature dictionary of the workpiece and solving the sparse reconstruction solution according to the feature vector of the detected workpiece image, the category label of the workpiece is obtained. Aiming at the reconstruction of 3D point cloud of workpiece, this paper uses the method of feature point matching to realize the reconstruction of 3D point cloud. Finally, the workpiece detection method studied in this paper is implemented on the system and the performance of the algorithm is verified.