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Railway track detection system cse project report
Railway track detection system cse project report





“Any technology, through artificial intelligence, machine learning, thermal sensing, or other means, that can specifically detect and differentiate a human versus a non-human intrusion, would be most advantageous,” the MTA wrote.Ī viable solution would “detect intrusions regardless of lighting or weather conditions or the frequency of train movements” and withstand temperatures that top 120 degrees, as well as “high steel dust concentrations, water conditions and high vibrations.” It must also detect and identify what’s on the tracks from up to 600 feet away in underground and open-air stations and provide, the document says, “visual indications for Station Personnel, Train Operators and First Responders.”

railway track detection system cse project report railway track detection system cse project report

MTA officials noted that the technology must be able to distinguish between animate and inanimate objects and set off an alarm for anything larger than 12 inches in diameter that presents a safety risk. The MTA is looking for high-tech ways to spot people and objects in the path of trains - in hopes of cutting down on both deadly collisions and frustrating delays stemming from track intruders.įollowing a months-long surge in the number of people trespassing on the tracks, the MTA last week issued a request for information to the railway and technology industry on how to deploy “track intrusion detection systems” in subways and on commuter railroads.







Railway track detection system cse project report