TABLE OF CONTENTS
Table of Contents
Title i
Declaration of originality ii
Acknowledgements iii
Abstract iv
Table of Contents v
List of Tables viii
List of Figures viii
List of Abbreviations xi
Chapter 1: Introduction
1.1 Problem statement and motivation 1
1.2 Project Scope 1
1.3 Project Objective 2
1.4 Impact, Significance and Contribution 2
1.5 Background information 3
1.6 Achievement 4
1.7 Report Organization 5
Chapter 2: Literature Review
2.1 Discussion on other research 6
2.2 Critical Remarks of previous works 9
Chapter 3: System Design
3.1 Description of Project 11
3.2 Process Flow of System 15
3.2.1 Raspberry Pi 15
3.2.2 Telegram 15
3.3 System Setup Procedures 15
3.3.1 Raspbian OS 15
3.3.2 Telegram 16
3.3.2 VNC Viewer 17
3.4 Software Development 18
3.4.1 Process of Face Recognition 18
3.4.2 Process of Training Dataset 20
3.4.3 Process of Prepare Face Dataset 22
Chapter 4: Design Specification
4.1 Methodologies 24
4.1.1 System Development Methodology 24
4.1.2 Project Flow 25
4.2 Tools 26
4.2.1 System Hardware 27
4.2.1.1 Raspberry pi 3 model B 27
4.2.1.2 Raspberry pi camera module 29
4.2.1.3 I2C LCD1602 display 30
4.2.1.4 Buzzer 31
4.2.1.5 Solenoid locker 31
4.2.1.6 HC-SR04 Ultrasonic Sensor 32
4.2.2 System Software 33
4.2.2.1 Raspbian OS 33
4.2.2.2 Python IDE 33
4.2.2.3 Blynk 34
4.2.2.4 Telegram 34
Chapter 5: Implementation and Testing
5.1 Testing Face Recognition 35
5.2 Testing System 36
5.2.1 Security System 36
5.2.2 Surveillance System 37
5.2.3 Telegram Control 38
5.2.4 LCD Display 40
5.2.5 Blynk 41
5.3 Implementation 42
Chapter 6: Conclusion 43
6.1 Project Review, Discussion and Conclusions 43
6.2 Future work 44
Bibliography 45
Appendices 46
