Driver Drowsiness Detection System

The Driver Drowsiness Detection System is an AI-based application developed to improve road safety by detecting signs of driver fatigue in real time. The system uses a webcam to continuously monitor the driver's face and eyes. With the help of OpenCV for face and eye detection and a pre-trained Convolutional Neural Network (CNN) for eye-state classification, it determines whether the driver's eyes are open or closed.

A drowsiness score is calculated based on continuous eye closure. When the score exceeds a predefined threshold, the system triggers an audible alarm to alert the driver and help prevent fatigue-related accidents. The application also displays a live dashboard showing eye status, driver status, confidence level, head direction, and FPS, providing real-time monitoring and feedback.

This low-cost, real-time solution requires only a standard webcam and can be integrated into vehicles to enhance driver safety and reduce the risk of road accidents caused by drowsiness.

What's Included in Your Project Bundle

Synopsis

Overview of the project objectives and scope

Project Report

Complete documentation with implementation details

Presentation

Ready-to-present PowerPoint slides

Viva Questions and Answers

Frequently asked viva questions with answers

User Manual

Step-by-step installation and usage guide

Code

Complete source code with comments

Applicable For

B.Tech, BCA, MCA, M.Tech

Tags: Driver Monitoring, Drowsiness Detection, Computer Vision, OpenCV, CNN, Facial Landmark Detection, Road Safety,

Testimonials

"This is one of the best computer vision projects I've seen for academic learning. The code quality, real-time detection, and practical use case make it suitable for students as well as professionals exploring AI-based safety systems."

Arvind Menon

Senior Software Architect

"The application is easy to demonstrate and showcases multiple technologies working together. Features like eye-state detection, confidence score, head direction, and audible alerts make it a comprehensive AI solution."

Nisha Arora

Data Science Consultant

"The Driver Drowsiness Detection System addresses a genuine road safety problem using modern AI techniques. It is a strong portfolio project that demonstrates practical knowledge of computer vision and deep learning."

Kunal Deshmukh

AI Solutions Consultant

"This project helped me understand facial landmark detection, image preprocessing, CNN-based classification, and real-time video processing. It is an excellent project for anyone interested in AI and computer vision."

Prof. Vivek Sharma

Faculty Mentor

"I was impressed by how smoothly the application detects eye movements and triggers alerts when drowsiness is detected. The real-time dashboard adds a professional touch to the overall project."

Sneha Iyer

Software Developer

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Project Bundle

Source Code + Report + PPT + Documentation

₹4999

Customization Needed

Modify the project according to your requirements

₹1999

Support Required

Installation, guidance and technical support

₹999

Total (INR) ₹0

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Driver Drowsiness Detection System