REAL TIME RAILWAY DISASTER VULNERABILITY ASSESSMENT AND RESCUE GUIDANCE SYSTEM USING MULTI-LAYERED VIDEO COMPUTATIONAL ANALYTICS

摘要

The system for real time train disaster vulnerability assessment and rescue guidance using multi layered video computational analytics comprises digital video cameras mounted on train, video cameras mounted at fixed locations on rail route; unmanned aerial monitoring vehicle; train on-broad computer system mounted on train and centralized system centrally located in railway network. The digital video cameras capture video images of railways track and adjacent structure from running train and automatically compute degree of disaster vulnerability from collective analysis of output from all video cameras. In case degree of disaster vulnerability exceeds predetermined threshold value a disaster alert is triggered to take immediate precautionary measures while simultaneously activating On Board Rescue and Response System. In case degree of disaster vulnerability is below predetermined threshold value, the analytics output is transmitted to higher level modules for in-depth advanced analytics by combining real-time train data or real-time geographic and environmental data contributing to a potential disaster.