Adapted neural network of information support subsystem

Abstract

Safety of human life, the safety of his material values are main priorities in modern society. Objects of critical infrastructure are in a special risk zone. Accident statistics for them has remained high in recent years. Increased risk and a large number of incidents, including abroad, emphasize the relevance of this problem. An adapted neural network has been proposed for monitoring the situation at a railway crossing and informing the train driver of information about unexpected obstacles through the subsystem of information support in order to reduce the likelihood of an accident or reduce the severity of its consequences. Images from a railway crossing video surveillance camera are obtained. The results of neural network training and modeling using image data are given.

Keywords

• traffic safety, information support, video surveillance, convolutional neural network.