Abstract:
The recent development in railway inspection, monitoring, and tracking has advanced
throughout the globe. Several countries like China and Japan have already introduced
Artificial intelligence to their safety protocols in preventing railway accidents one of
these is “Tunnel Fox” an autonomous vehicle for railway inspection. Talking about the
Railway industry in Pakistan. Pakistan has faced 27 major accidents over the past 20
years, which were all caused by derailments. The technology available in Pakistan has
just started to develop but has not reached the level existing elsewhere. We are aiming
to introduce AI monitoring to the Railway inspection department. Real-time
monitoring of defected tracks. We have made an Electric Cart which is powered by a
solar panel which charges the battery through which DC motor runs and electric
vehicle moves. It is equipped with a camera which detects track anomalies which are
being processed via an AI computer. The technology can precisely and cost-effectively
locate an operational train's position and other parameters. This project aims to create
and set out a economical and intelligent full-fledged wireless-based Railway Track
Detection System to prevent railway accidents. It can help discover fractures and
reduce the likelihood of disasters. The system's efficiency can be guaranteed because
it will be automated and will require little operator intervention. This system, on the
other hand, has difficulty identifying an inner break in the railway track. In the long
run, the concept might be utilized on a large scale to promote higher train track safety
criteria and provide adequate testing infrastructure to meet the requirement.
