Facial recognition for customer identification in retail stores using computer vision and loyalty program data – Complete Phd and Masters Thesis

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Introduction

Facial recognition technology has gained popularity in recent years due to its potential applications in various industries, including retail. In retail stores, facial recognition can be used for customer identification purposes, allowing retailers to gather valuable data on their customers’ preferences and behaviors. By combining computer vision technology with data from loyalty programs, retailers can create a more personalized shopping experience for their customers. This thesis aims to explore the use of facial recognition for customer identification in retail stores, focusing on its benefits and potential challenges.

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 Two: Literature Review
2.1 Overview of facial recognition technology
2.2 Applications of facial recognition in retail
2.3 Benefits of using facial recognition for customer identification
2.4 Challenges of implementing facial recognition in retail stores
2.5 Privacy concerns related to facial recognition technology
2.6 Integration of facial recognition with loyalty program data
2.7 Customer acceptance of facial recognition technology
2.8 Regulatory considerations for using facial recognition in retail
2.9 Current trends in facial recognition technology
2.10 Future prospects for facial recognition in retail

Chapter Three: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Sampling techniques
3.5 Ethical considerations
3.6 Pilot study
3.7 Data validation
3.8 Research limitations

Chapter Four: Discussion of Findings
4.1 Overview of the study findings
4.2 Analysis of the benefits of facial recognition for customer identification
4.3 Examination of the challenges of implementing facial recognition in retail stores
4.4 Recommendations for improving the use of facial recognition in retail
4.5 Comparison of different facial recognition technology providers
4.6 Evaluation of customer attitudes towards facial recognition
4.7 Discussion of regulatory implications for using facial recognition in retail
4.8 Implications for future research

Chapter Five: Conclusion and Summary
5.1 Summary of key findings
5.2 Conclusions drawn from the study
5.3 Recommendations for retailers interested in implementing facial recognition
5.4 Implications for the future of customer identification in retail stores using facial recognition technology
5.5 Reflection on the research process and potential areas for further study

Thesis Overview

Facial recognition technology has emerged as a powerful tool for customer identification in retail stores, leveraging computer vision technology and loyalty program data to enhance the shopping experience. This thesis explores the potential benefits and challenges of using facial recognition in retail, with a focus on customer preferences, behaviors, and privacy concerns. The literature review examines the current state of facial recognition technology, its applications in retail, and customer acceptance levels. The research methodology section details the study design, data collection methods, and ethical considerations. The discussion of findings analyzes the benefits and challenges of facial recognition, offers recommendations for retailers, and examines regulatory implications. The conclusion summarizes key findings and offers recommendations for future research in this rapidly evolving field.

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