Research on High-Resolution Imaging System with the Big Field of View Based on the Artificial Compound Eye for Overhead Contact Line System Intelligent Detection

For high-speed railway Overhead Contact line System (OCS) in operation, maintenance and management of image acquisition and background information processing problems, such as: small image acquisition detector range, insufficient image resolution and low integration, etc. Research on intelligent recognition algorithms of OCS typical characteristics based on image splicing is to improve the level of intelligent and informatized operation, maintenance management. Use a deep learning detection method for identifying small targets in a complex background shared by multi-scale feature weights, and a new generation of intelligent computing platform, to break through the existing speed of image feature information processing, innovative improved image stitching algorithm, and improve the stitching quality of artificial compound eye images, for building a set of high resolution imaging system with the big field of view based on the artificial compound eye to further improve high-speed railway Overhead Contact line system(OCS) detection. The research results provide systematic ideas and important guarantees for the operation and maintenance management design of high-speed railway Overhead Contact line system (OCS).