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Introduction

Computer vision for facial recognition in public spaces has become an increasingly prevalent and controversial topic in recent years. With advancements in technology, governments and private companies are implementing facial recognition systems in various public spaces for security, identification, and convenience purposes. While the technology offers promise in enhancing security and streamlining processes, it also raises concerns about privacy, civil liberties, and potential misuse of personal data.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 History of facial recognition technology
2.2 Current applications of facial recognition in public spaces
2.3 Ethical and legal considerations related to facial recognition
2.4 Privacy concerns and data protection regulations
2.5 Accuracy and bias in facial recognition algorithms
2.6 Public attitudes towards facial recognition technology
2.7 Challenges and limitations of facial recognition in public spaces
2.8 Facial recognition technology in different industries
2.9 Future trends in facial recognition research
2.10 Summary of key findings in the literature

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis procedures
3.5 Ethical considerations
3.6 Pilot study
3.7 Instrumentation
3.8 Validity and reliability of research instruments

Chapter 4: Discussion of Findings
4.1 Overview of research findings
4.2 Analysis of data collected
4.3 Comparison of results with existing literature
4.4 Implications of findings for practice
4.5 Recommendations for future research
4.6 Limitations of the study
4.7 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Conclusions drawn from the study
5.3 Contributions to the field of computer vision for facial recognition
5.4 Recommendations for policymakers and practitioners
5.5 Implications for future research

Thesis Overview

The use of facial recognition technology in public spaces has sparked debates about privacy, civil liberties, and ethical considerations. This thesis explores the current landscape of computer vision for facial recognition in public spaces, focusing on its applications, challenges, and implications. The literature review examines the history of facial recognition technology, ethical considerations, privacy concerns, accuracy, bias, public attitudes, and future trends. The research methodology section details the study design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The discussion of findings analyzes the data collected, compares results with existing literature, and provides recommendations for future research. The conclusion summarizes key findings, draws conclusions, discusses implications, and offers recommendations for policymakers and practitioners.

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