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