Drowsiness Detection Followed by Lane Detection and Emergency Parking

Vehicle accidents are rapidly increasing in many countries. One of the most demanding technologies for the active prevention of fatal road accidents are drowsiness monitoring systems, since drowsiness and fatigue are one of the leading causes of severe accidents on motorways and highways. According

Project Title

Drowsiness Detection Followed by Lane Detection and Emergency Parking

Project Area of Specialization

Artificial Intelligence

Project Summary

Vehicle accidents are rapidly increasing in many countries. One of the most demanding technologies for the active prevention of fatal road accidents are drowsiness monitoring systems, since drowsiness and fatigue are one of the leading causes of severe accidents on motorways and highways. According to surveys, about 3,200 human lives are lost in road accidents across the world every day. The leading cause of these accidents is driver’s fatigue and drowsiness. According to a survey by Zonked, fatigue related accidents have been increased by almost 34.8% in Pakistan. This problem needs to be considered seriously and dealt with. The aim of this project is to decrease the amount of fatigue related incidents. To achieve that purpose, drowsiness of a driver is to be detected using the brain signals extracted by an EEG headset. Drowsiness Detection will be followed by lane detection to get the car in emergency lane. A prototype toy car will be used for the demonstration purpose that will follow and depart the lane as soon as drowsiness is detected with the help of Computer Vision.

Project Objectives

The aim of this project is:

•To develop a system that is able to detect drowsiness based on BCI.

•Lane detection to get the toy car parked in emergency lane.

Project Implementation Method

•After receiving the drowsiness signals from the EEG headset via wireless communication, the car would park along the emergency lane using lane detection.

•The system would be based on computer vision.

Benefits of the Project

Driver’s Drowsiness has continued to play a major role in the contribution of road accidents. A few systems available in the market lack robustness and their accuracy is a major area to work on.The success of this project will help in a major decrease of road accidents hence saving people’s lives. Road safety is an important benefit of this project. Lives of pedestrians and driver both are at minimum risk.

Technical Details of Final Deliverable

EEG Headset

Toy Car

 

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

Others

Technologies

Artificial Intelligence(AI), NeuroTech

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

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