Autonomous Driver Sleep Detection

Technology is getting enhancements everyday new innovations, ideas and developments are being carried out. Day by day technology is making the life easier by solving not only complex problems but also providing daily life solutions. A vehicle is machine which is used to carry anything either a perso

Project Title

Autonomous Driver Sleep Detection

Project Area of Specialization

Computer Science

Project Summary

Technology is getting enhancements everyday new innovations, ideas and developments are being carried out. Day by day technology is making the life easier by solving not only complex problems but also providing daily life solutions. A vehicle is machine which is used to carry anything either a person or object from one place to another, it is mean of transportation but has some limitations. But there comes a time when a driver continuously drives which causes fatigue and drowsiness, due to fatigue and drowsiness the driver loses attention and sometimes fall asleep in result accidents are caused.

We are proposing to develop system which will help prevent the accidents by alerting the driver before they get drowsy or get fatigued by continuous driving.

This system will continuously monitor the driver to check for drowsiness and fatigue, it will check the landmarks of driver’s face and check the time period of the driving and break intervals taken while driving, it will alert the driver in case of lost attention.

Project Objectives

Objectives:

• To detect and recognize drowsy eyeblink of driver.
• To detect and recognize drowsy yawing of driver.
• To alert the driver when drowsy.

Project Implementation Method

Method:

The project will be implemented using Python and Raspberry Pi 4.

Collecting Data: Different data sources will be collected and created.

Creating Training and Testing Sets: Collected data will be divided into training and testing sets which will be further processed and modeled

Processing and Creating Model: Training and Testing sets will be processed and model will be created.

Testing Model: Model will be tested and validated for the functionalities.

Finalizing: The model will be then deployed in Raspberry Pi.

Benefits of the Project

Benefits:

This project will help prevent unwanted situations and accidents which not only cause destruction and injuries but in many cases becomes fatal to life.

Technical Details of Final Deliverable

Final deliverable will be a system which comprises of both hardware and software.

Hardware will contain Raspberry Pi along with buzzer and camera.

And software will contain all the logic and functionality of the system.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Transportation

Other Industries

Core Technology

Others

Other Technologies

Sustainable Development Goals

Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com