Driver Drowsiness Detection System

Project Title

Driver Drowsiness Detection System

Project Area of Specialization RoboticsProject Summary

Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving.The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected.

Project Objectives

The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected.

Project Implementation Method

Step 1 – Take image as input from a camera.
Step 2 – Detect the face in the image and create a Region of Interest (ROI).
Step 3 – Detect the eyes from ROI and feed it to the classifier.
Step 4 – Classifier will categorize whether eyes are open or closed.
Step 5 – Calculate score to check whether the person is drowsy.

Benefits of the Project

The benefit of this  Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected. And prevent from accidents which is causes by driver drowsiness.

Technical Details of Final Deliverable

The technology which we use to built this system is 

Hardware

• Raspberry Pi 3
• Pi Camera Module
• Micro USB Cable
• Buzzer

Software

• OpenCV
• Dlib
• Python3

Final Deliverable of the Project HW/SW integrated systemCore Industry TransportationOther Industries Others Core Technology RoboticsOther Technologies OthersSustainable Development Goals Good Health and Well-Being for People, Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	19500
Micro USB cable	Equipment	1	500	500
Buzzer	Equipment	1	2000	2000
Pi Camera Module	Equipment	1	10000	10000
Raspberry Pi 3	Equipment	1	7000	7000