Open Access Journal

ISSN : 2395-2717 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

ISSN : 2395-2717 (Online)

Cleaning of Vernacular Railway Tracks Using Drone

Author : Malini K V 1 Asha K 2 Hitesh Kumar ChoudharyMubarak S 3 Kishor Kumar K 4

Date of Publication :31st August 2018

Abstract: A Quadcopter can achieve vertical flight in a stable manner and be used to monitor or collect data in a specific region such as mapping terrains. Technological advances have reduced the cost and increase the performance of the low power microcontrollers that allowed the general public to develop their own quadcopter. The goal of this project is to build, modify, and improve an existing quadcopter kit to clean outdoors, gather and store GPS data, and perform auto commands, such as collecting waste from rough terrain, auto-charge, auto-flight, auto-landing, using image processing technique. This project uses a quadcopter kit that includes a frame, motors, electronic speed controllers, Raspberry-Pi development board, and sensor boards. Batteries, a transmitter, a receiver, a GPS module, solar panels, Raspberry-Pi camera, a micro SD card adaptor and a cleaning unit (to collectstore- dispose wastes in correct place; from rough terrains) were to be interfaced with the kit. The Raspberry-Pi will be modified to properly interface the components with the quadcopter kit, Calibration and tuning of the PID controller will be done to obtain proper stabilization on each axis using custom PID test benches. Currently, the quadcopters can properly determine its GPS location; send the data captured by camera and store and log data. This solution also describes the auto-commands, to detect and collect the waste that is led on the rough terrain automatically by using image processing technique in Raspberry-Pi board which will be having the entire control over the drone automatically or manually. The Raspberry-Pi has the facility of IOT Using which we can provide and receive information of train status, cautions to various stations which make them inter-connected between them and the passengers.

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