Smart Drone with Open CV to Clean the Railway Track

India has the second‐largest railway system, and the wastage in the rail tracks is arduous to clean manually. Manual Scavengers collect the solid and liquid waste through sacks, buckets, etc. Due to some production of gases from those waste materials, it affects the respiratory system of the manual scavengers. A better solution is to stop manual work through use of a Drone. Using the drones with a single‐man control and also with the sensor control for each station will be more proficient. Technically it will result in a more cost‐efficient system. A drone is a more accessible tool that could eventually be put into the hands of a human to clean up the entire mess in a railway station. Manually controlled drones must be made to clean the railway tracks once in every estimated hour. The drone will we embedded with a powerful suction motor which is strapped to an air bag on the other side. It will have a frequently chargeable battery, or a solar cell which can be used to charge the drone periodically. Without human intervention, the idea will be making use of a Line Follower sensor to trace the rail tracks. The line follower sensor is embedded with drones; as a result it will follow the rail tracks and will not get out of the tracks. Open CV (Open Source) is a computer vision and a freeware that is used in image processing. It is installed in a host and is programmed to identify obstacles in a track using a camera attached to a drone. Since the railway tracks are fully magnetized, metal content must be reduced to the maximum to avoid the magnetism. By this method, railway tracks will cleaned up by using the drones efficiently, which will reduce the need for manpower too.