ARCDetection

(Automated Adverse Road Condition Detection)

A simple, modular and cost effective solution for real time mapping of adverse road conditions on a maps based User Interface which has navigational capabilities. The solution consists of a mobile application and a physical gadget that can be connected to any Bluetooth enabled device through the provided app. Adverse road conditions are detected using Arduino-Uno, accelerometer and gyro sensors, HC05 module.

Built on:

• React Native
• Firebase

The system’s architecture consists of the following components:

Hardware: The below described sensors are connected to an arduino uno. The whole setup is presented to the user as a gadget which can connect to the application running on a smartphone.

Sensors:

• Accelerometer and Gyro sensor
• Bluetooth Module(HC05)
• Arduino Uno

The packages used were:

• react-native-router-flux
• react-native-firebase
• react-native-maps
• react-native-maps-directions
• react-native-bluetooth-serial
• react-native-swiper

Architecture:

Software: The proposed software to address the problem in hand is a combination of an algorithm running on the Arduino and a Mobile Application which runs in two modes. Initially the user is presented with a landing screen with a logo. Then the user can select one of the modes by swiping left or right.

1. Mapper Mode

2. Navigation Mode