RAR is an AI/computer vision based system that will provide assistance to the driver as road awareness is added in the rover using deep learning algorithms implemented on Raspberry Pi. The system consists of two stages. The first stage focuse
RARRoad
RAR is an AI/computer vision based system that will provide assistance to the driver as road awareness is added in the rover using deep learning algorithms implemented on Raspberry Pi.
The system consists of two stages. The first stage focuses on “Traffic sign board detection” and the second stage focuses on “Traffic sign classification and recognition”. Video input from the raspberry pi camera module will be taken from the surroundings and whenever a sign appears, the system will:
1) generate alerts to notify the driver through an Android application or
2) change the rover’s behavior accordingly
Create an AI/computer vision based system that enables traffic sign detection and recognition in real time.
Create an “Alert Generation System” that will alert and notify the drivers whenever a traffic sign appears.
Create an IOT based system that will change the rover behavior according to the sign caught.
The main purpose of this project was to introduce a solution for roslad safety problems. Traffic signs will be detected and recognized for drivers safety and prevent road hazards. The detection and recognition is being done with the help of YOLOv3, which is a fast deep learning algorithm based on CNN(Convolutional Neural Network).
Once the sign is detected and recognized through the created model which will be implemented on raspberry pi, the raspberry pi will communicate with an Android application on the user's phone and send alerts regarding the detected signs. In this way the driver will be able to know about the signs they missed due to human error and can avoid accidents. Another main part of the project is to change the rover's behavior on which this system is being implemented. When a sign is detected, raspberry pi will communicate it with the arduino present on the rover, and the rover will act according to the sign instructions.
The purpose of implementing this on the raspberry pi chip instead of cloud are connectivity issues. If the service is not available due to network interruptions, then that will also cause confusion and frustration on the driver's side, leading to accidents.
Assistance in Road Awareness/Driver assistance
Detect and Recognise the traffic signs and Alert the driver.
Enforcement of Traffic Rules and Regulations
Driver safety
Reduction in road accidents
Reduction in traffic congestion
The technical details after the final deliverable are as follows:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi | Equipment | 1 | 9500 | 9500 |
| Hdmi adapter | Equipment | 1 | 400 | 400 |
| Hdmi to vga converter | Equipment | 1 | 150 | 150 |
| Arduino UNO R3 | Equipment | 1 | 780 | 780 |
| Arduino UNO Rover | Equipment | 1 | 1100 | 1100 |
| SD card | Equipment | 1 | 480 | 480 |
| IR obstacle avoidance senseors | Equipment | 4 | 100 | 400 |
| L298n motor driver | Equipment | 1 | 250 | 250 |
| 18650 lion battery | Equipment | 2 | 85 | 170 |
| 18659 2 cell battery holder | Equipment | 1 | 50 | 50 |
| Total in (Rs) | 13280 |
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