The main aim of this project is to makes inspection faster and does not congest the cloud with unnecessary data.
Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, and expensive, but the accuracy of defect detection is also subjected to human expertise and efficiency at the time of inspection. Computing and Robotics offer automated IOT based solutions where robots could be deployed on rail-tracks and hard to reach areas, and controlled from control rooms to provide faster inspection. In this project, robot will go on railway track and ultrasonic sensor is used for detecting the defect in track. If any defect is detected it will send the location on cloud. The system provides ultrasonic sensor for defect detection, cloud storage of information that consist of location of the defected railway tracks, and robot localization within a range of 3-6 inches. The proposed system utilizes state of the art Machine Learning system and obtained from the tracks in order to classify them as normal or suspicious. Such locations are then marked and more careful inspection can be performed by a dedicated operator with very few locations to inspect (as opposed to the full track).
Keywords: Rail track inspection, Arduino Uno, ultrasonic sensor, IR sensor, robot,GPS
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Hardware Requirements:
Software Requirements:
Learning outcomes: