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Robotic-Vehicle-for-Impact-Analysis

GPS Controlled Robotic Vehicle for Environmental Impact Analysis




Overview

* IoT is all about connecting electronic devices together and exchanging data

* Robotic vehicle is controlled by an individual via android application

* Data obtained by the system is monitored by an android application

* Environmental visualization is obtained through smart camera system

* Two way Audio communication and visualization is obtained

* The proposed system is cost-effective when compared to other existing methods.

* The system can update the data to the application for every seconds

* Latitude and longitude coordinates are obtained.


⌽ VECHICLE


⌽ PROTOTYPE

Sensors

Sensors used to obtain data about the environmental condition through IoT platform are
  • Temperature Sensor : LM35
  • Gas Sensor : MQ-2
  • Photoresistor : LDR
  • Humidity Sensor : DHT11
  • Pressure sensor : DIGITAL AIR PRESSURE



⌽ NAVIGATION

Navigation and Control Module

  • L293D Motor driver IC is used to control the autonomous movement
  • It allows DC motor to drive on either direction
  • Dual H-bridge Motor Driver integrated circuit (IC)
  • Two major sections in navigation and control
    • Controlling the robotic vehicle
    • Monitoring the system



⌽ BASIC ARCHITECTURE



⌽ COMMUNICATION ARCHITECTURE

  • NODE MCU is use as a IoT gateway.
  • It serves as a connection point between cloud and controllers, Arduino.
  • Sensor data ,Visualization and Two way audio communication details obtained from robotic vehicle is transmitted to the app through IoT gateway.
  • GPS Location is obtained from IoT module



RESULTS

  • The prototype can work effectively in remote places to collect data alone or in teams
  • Secured data in IoT platform can be accessed from anywhere of the world
  • System updates sensor data to IoT server in every seconds
  • Sampling of events can be done that are too dangerous for Human
  • Communications can be established

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