Drowsiness Detection Using Image Processing

Inhaltsverzeichnis (Table of Contents)

• Chapter 1: Introduction
• 1.1 Rationale of the topic
• 1.2 Problem identification
• 1.3 Aim and Objectives
• 1.3.1 Aim
• 1.3.2 Objectives
• 1.4 Scope and Limitations
• 1.4.1 Scope
• 1.4.2 Limitations
• 1.5 Report Overview
• Chapter 2: Literature Survey
• 2.1 Types of image processing software
• 2.2 Techniques to identify fatigue
• 2.3 Fatigue identification follow ups
• 2.3.1 Non self-driving mode
• 2.3.2 Self-driving mode
• Chapter 3: Methodology
• 3.1 Conceptual Design

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This report presents a driver drowsiness detection system, a project aiming to improve driver safety by developing a system capable of detecting drowsiness and initiating preventive actions. The system utilizes image processing techniques to identify and analyze driver fatigue, incorporating real-time monitoring and automated safety measures.

• Driver Drowsiness Detection
• Image Processing Techniques
• Real-time Monitoring
• Automated Safety Measures
• Accident Prevention

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 provides an introduction to the topic of driver drowsiness detection, outlining the rationale, problem identification, aim and objectives, scope and limitations, and report overview. Chapter 2 delves into a literature survey, exploring types of image processing software, techniques to identify fatigue, and follow-up actions in different driving scenarios. Chapter 3 focuses on the methodology, outlining the conceptual design of the drowsiness detection system.

Schlüsselwörter (Keywords)

This project primarily focuses on driver drowsiness detection, utilizing image processing techniques such as face detection, facial feature detection, and eye tracking. Key terms include Viola-Jones algorithm, correlation coefficient template matching, PERCLOS, and Arduino microcontroller. The project aims to develop a system that can prevent accidents by detecting drowsiness and initiating appropriate safety measures.