This report explains the final project, driver drowsiness detection system. When a driver doesn’t get proper rest, they fall asleep while driving and this leads to fatal accidents. This particular issue demands a solution in the form of a system that is capable of detecting drowsiness and to take necessary actions to avoid accidents.
The detection is achieved with three main steps, it begins with face detection and facial feature detection using the famous Viola Jones algorithm followed by eye tracking. By the use of correlation coefficient template matching, the eyes are tracked. Whether the driver is awake or asleep is identified by matching the extracted eye image with the externally fed template (open eyes and closed eyes) based on eyes opening and eyes closing, blinking is recognized. If the driver falling asleep state remains above a specific time (the threshold time) the vehicles stops and an alarm is activated by the use of a specific microcontroller, in this prototype an Arduino is used.
Table of Contents
Acknowledgement
Abstract
Abbreviation
List of Figures
List of Tables
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
3.1.1 Conceptual Design 01
3.1.2 Conceptual Design 02
3.1.3 Conceptual Design 03
3.2 Selecting the Optimum Design and Justification
Chapter 4: Design & Implementation
4.1 Software Implementation
4.1.1 Image acquisition
4.1.2 Image Processing
4.1.3 Detection
4.2 Hardware Implementation
4.2.1 Alarm
4.2.2 Speed Control
4.3 The System
Chapter 5: Testing & Analysis
Chapter 6: Conclusion & Further Development
6.1 Conclusion
6.2 Further Development
References
Project Management & Control
6.3 Gantt Chart
6.4 Meeting Records
Appendix 01
Appendix 02
Appendix 03
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