Accident Avoidance using Railway Track Detection System using IoT

Abstract

An IoT-based railway track crack and object discovery framework is an innovative arrangement for guaranteeing the security of railroad frameworks. The framework employs a combination of sensors and cameras that are introduced along the railroad track to screen it for any signs of harm or hindrances. The sensors can identify vibrations and changes within the track, which can show the nearness of a break or other sort of harm. The cameras can capture pictures and video of the track, such as fallen branches, flotsam, and jetsam, or indeed individuals or creatures. Once the framework recognizes an issue, it can send an alarm to the railroad administrators or upkeep workforce, permitting them to rapidly address the issue sometime soon if it causes any mischances or delays. An IOT-based railroad track break and protest location framework can incredibly move forward the security and proficiency of railroad operations. Key Words: Embedded system, Internet of things, ultrasonic sensor, IR detector, Arduino Uno, GPS