IoT Based Remote Surveillance For Animal Tracking Near Railway Tracks

Every year, many resources are lost and animal life is in danger due to railroad accidents. To prevent the entry of wild animals near railroad tracks, they have to be monitored all the time. In this project, we propose a system that will monitor a railroad track for humans and animals. For the first round of surveillance, we have an IR sensor and a PIR sensor for motion detection, a MEMS sensor for pressure and vibration, and ultrasonic sensors for distance. Both data-driven Intelligent Transportation Systems (ITS) and the nascent Internet of Vehicles (IoV) services, like railroad barrier tracking at railroad crossings, railroad warnings, and light signaling systems, have the potential to be considerably improved by the use of IoT-based solutions. The train is the most well-liked and environmentally sustainable mode of transportation in the biggest cities on earth. For a convenient, secure, and affordable travel option, the train is the most popular. It is affordable to people in various vocations. One of the most effective ways to prevent train accidents is the subject of this project, which uses an ESP32 NODE MCU to create a multi-sensor railway track geometry surveying system. All the sensors are controlled, and information is transmitted and received. It can prevent accidents and safeguard animals and people. This system continuously monitors the status of the track and updates its time and its information to the IoT cloud platform, known as Thing speak. This information is observed in the mail or on the mobile phones of nearby railway officers so that they can take immediate action in order to prevent railway accidents.