Real-Time Detection Algorithm for Foreign Body Intrusion in Railroad Tracks Based on Deep Neural Network

Abstract

Railway foreign body detection is the mainstream research direction in today's society. It is of great significance to ensure real-time and accurate detection of foreign body intrusion on railroad tracks. This article first introduces the principle of the target detection method based on deep learning, and then introduces the two modes of target detection methods, and then proposes a lightweight multi-scale target detection method for the mage defects on the inner side of the comuttor. The experimental relt found the methred the methinghers parther and it has better reults than the current target detection methods based on deep learning.