"> Facial Recognition Dissertation Topics: Bias, Policing & Law
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Published by at January 9th, 2023 , Revised On October 1, 2026

Good facial recognition dissertation topics test how accurate and fair the technology is and how its use is governed. Current themes include demographic error rates, police live facial recognition in the UK, shared retail watchlists, the EU AI Act’s biometric rules and public trust. This page lists over 100 topics.

The facial recognition system is more commonly employed as a security mechanism than biometric systems such as fingerprint and eye recognition technology. More recent use of this technology is in the mobile world, where the latest mobile phone models have a built-in face recognition application.

Through this technology, users can easily unlock their mobile phones without having to enter their passwords. Once the systems recognise their face, their device is unlocked. Here are a few essential dissertation topics on facial recognition to explore the world of this revolutionary technology.

Unique Facial Recognition Dissertation Topics With Research Aims

 

Topic 1. Quantitative Study on the Impact of Facial Recognition on Bias in Automated Hiring Systems

 

Research Aim: This study aims to measure how facial recognition software used in hiring platforms may treat people differently based on their appearance, race, or gender. It will explore whether these systems are fair and how they might unintentionally create biased hiring decisions in modern job recruitment tools.

Research Aim: This study will examine whether software that infers emotions from facial expressions is valid enough to support mental health monitoring, given that psychologists dispute how reliably facial movements reveal what a person feels.

A systematic review of validation studies will compare accuracy for posed and spontaneous expressions and for people with depression or anxiety.

Research Aim: This review looks at how facial recognition is being used in schools and universities for attendance, exams, and safety. It will examine how this affects students’ right to privacy and whether the benefits of using this technology outweigh the possible risks to their personal freedom.

Research Aim: This study will measure how the match threshold chosen for open-source face recognition models changes false match and false non-match rates across age, sex and skin tone groups in consented public benchmark datasets.

It will test whether operating settings, as well as the model itself, explain differences between groups.

Research Aim: This study will compare the government’s plan for a single regulator of police facial recognition in England and Wales with Scotland’s statutory Biometrics Commissioner and code of practice.

Through analysis of legislation, codes, consultation responses and published oversight reports, it will identify which powers and safeguards an effective regulator would need.

Research Aim: This research will examine how UK retailers using facial recognition decide who is added to watchlists shared across stores, how staff check alerts and how wrongly flagged shoppers can challenge decisions.

It will combine analysis of privacy notices and regulator guidance with interviews with store security staff.

Research Aim: This study will compare how EU member states have responded to the AI Act’s ban on real-time remote biometric identification in public spaces for law enforcement, which national law may lift for narrow purposes such as finding missing people or preventing imminent threats.

Doctrinal analysis of national laws and draft bills will assess the safeguards chosen.

Research Aim: This research will test how support for police searching government photo databases with facial recognition changes depending on the crime being investigated, the safeguards described and who authorises each search.

UK adults will be randomly shown different scenarios in an online survey, and their support and trust will be compared.

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Latest Facial Recognition Research Topics by Theme

These topics follow the questions engineers, courts and regulators are asking about facial recognition: how accurate and fair it is, how police and retailers use it, what the law allows in the UK, the EU and elsewhere, how face data can be protected and what the public thinks.

Accuracy, Bias and Testing Topics

  1. False Matches Between Siblings and Twins in Face Recognition: Evidence from Public Family Datasets
  2. Skin Tone Annotation Scales for Auditing Face Recognition: Comparing the Fitzpatrick and Monk Scales
  3. Measuring Fairness in Face Recognition: Which Error Metrics Should Independent Auditors Report?
  4. Face Verification Failures for People with Facial Differences: Accessibility of Automated Identity Checks
  5. How Reliable Are Published Accuracy Claims? Comparing Supplier Figures with Independent Evaluation Results
  6. Watchlist Size and False Alerts: How Database Growth Affects One-to-Many Search Accuracy

Police Facial Recognition in the UK Topics

  1. Watchlist Inclusion Criteria for Police Live Facial Recognition: Who Is Searched For and Why?
  2. Published Deployment Records for Live Facial Recognition: Alerts, Arrests and False Alerts Across Forces
  3. Fixed Live Facial Recognition Cameras on High Streets: Community Consultation and Local Accountability
  4. Operator-Initiated Facial Recognition on Officers’ Phones: Uses, Safeguards and Public Awareness in Wales
  5. Retrospective Facial Searches of Custody Images: Retaining Photographs of People Never Convicted
  6. National Expansion of Live Facial Recognition Vans: Deployment Criteria and Oversight in England and Wales

Law, Regulation and Oversight Topics

  1. The Public Sector Equality Duty in Facial Recognition Deployments: Obligations After the Bridges Judgment
  2. Criminal Offence Data in Retail Facial Recognition: Lawful Conditions Under UK Data Protection Law
  3. Data Protection Impact Assessments for Police Facial Recognition: Quality and Transparency of Published Assessments
  4. Children on Police Facial Recognition Watchlists: Safeguards and the Best Interests Principle
  5. Private Rights of Action Under the Illinois Biometric Information Privacy Act: Deterrence or Litigation Burden?
  6. City Restrictions on Police Facial Recognition in the United States: Scope, Exceptions and Durability

EU AI Act and Biometric Rules Topics

  1. Untargeted Scraping of Facial Images Under the EU AI Act: Scope of the Ban for Face Search Services
  2. Biometric Categorisation by Sensitive Traits: Where the EU AI Act Draws the Line
  3. Post-Event Facial Searches by EU Police Under the AI Act: Authorisation Requirements and Their Practical Effect
  4. Facial Recognition at Public Assemblies Under the EU AI Act: Can National Laws Permit Identifying Protesters?
  5. Conformity Assessment for Remote Biometric Identification Systems Under the EU AI Act: Provider Readiness
  6. Diverging UK and EU Approaches to Police Facial Recognition: Prohibition with Exceptions Versus Authorised Use

Retail, Venue and Border Use Topics

  1. Store Staff Responses to Facial Recognition Alerts: Training, Confrontation and Customer Outcomes
  2. Signage in Stores Using Facial Recognition: Do Shoppers Notice and Understand It?
  3. Could Facial Recognition Support Gambling Self-Exclusion? Views of Customers and Staff in UK Gambling Venues
  4. Facial Recognition Entry at Stadiums and Concert Venues: Fan Acceptance and Ticket Fraud
  5. Facial Images Captured at EU Borders Under the Entry/Exit System: UK Travellers’ Experiences and Queue Times
  6. Public Face Search Engines and Stalking Risk: Legal Remedies in the UK and EU

Privacy-Protecting and Secure Face Recognition Topics

  1. Protecting Stored Face Templates: Cancellable Biometrics and Encrypted Matching Compared
  2. On-Device Versus Server-Side Face Matching: Privacy and Accuracy Trade-Offs in Identity Apps
  3. Detecting Morphed Face Images in Passport Applications: Accuracy of Single-Image Detection Methods
  4. Presentation Attack Detection for Face Verification: Testing Detectors Against Printed Photos and Screen Replays
  5. Automated Face Blurring for Published Video: Reliability of Anonymisation Tools on Crowded Scenes
  6. Immediate Deletion of Non-Matched Faces: How Live Facial Recognition Operators Evidence Their Retention Claims

Public Attitudes and Social Impact Topics

  1. Trust in Police Facial Recognition Among Black and Minority Ethnic Londoners: A Mixed-Methods Study
  2. Chilling Effects at Protests: Does Facial Recognition Change Willingness to Attend? A Survey Experiment
  3. Newspaper Framing of Police Facial Recognition in the UK: Crime Fighting or Surveillance?
  4. Accounts of Misidentification by Facial Recognition: A Qualitative Analysis of Published Testimonies
  5. Public Understanding of How Facial Recognition Works: Misconceptions and Their Effect on Support
  6. Bystanders in Live Facial Recognition Zones: Awareness of Deployments and Ability to Avoid Them

International and Sector Use Topics

  1. Facial Recognition by Indian Police Forces: Proportionality Under the Puttaswamy Privacy Test
  2. Facial Biometrics in the Philippine Identification System: Authentication Failures and Inclusion
  3. Facial Recognition for Patient Identification in Hospitals: Accuracy and Acceptability Compared with Wristbands
  4. Facial Recognition Entry Systems in Residential Buildings: Residents’ Consent and Landlord Responsibilities
  5. Facial Recognition in Humanitarian Work: Reuniting Separated Families and Protecting Refugees’ Data
  6. Safe City Surveillance Projects in African Capitals: Facial Recognition, Procurement and Accountability

List Of Free Facial Recognition Dissertation Topics

  1. Quantitative Study on the Accuracy of Facial Recognition Across Diverse Skin Tones
  2. The Role of Artificial Intelligence in Enhancing Real-Time Facial Recognition Performance
  3. Qualitative Research on Public Perceptions of Facial Recognition in Smart Cities
  4. Systematic Review of Ethical Concerns Surrounding Facial Recognition in Law Enforcement
  5. The Impact of Lighting Conditions on the Efficacy of 3D Facial Recognition Systems
  6. Research Study on Gender Bias in Deep Learning-Based Facial Recognition Algorithms
  7. An Analysis of Privacy Risks Associated With Biometric Data Collection in Facial Recognition
  8. Quantitative Study on the Effectiveness of Facial Recognition in Airport Security Screening
  9. The Influence of Facial Expression Variability on Recognition Accuracy in Neural Networks
  10. Mixed-Methods Study on the Use of Facial Recognition in Educational Surveillance Systems
  11. Systematic Review of Facial Recognition Applications in Healthcare Diagnostics
  12. The Impact of Age Progression Algorithms on Long-Term Facial Recognition Reliability
  13. Experimental Study on Facial Occlusion Effects in Real-Time Recognition Systems
  14. The Role of Cultural Differences in the Perception of Facial Recognition Technology
  15. Quantitative Research on Real-Time Facial Recognition Accuracy in Low-Resolution Environments
  16. The Effect of Medical Face Masks and Other Face Coverings on Facial Recognition Performance
  17. Qualitative Research on Ethical Implications of Facial Recognition Use in Policing
  18. The Relationship Between Facial Symmetry and Recognition Success Rate in Machine Learning Models
  19. Longitudinal Study on the Implementation of Facial Recognition in Retail Consumer Analytics
  20. Quantitative Study on the Impact of Dataset Diversity on Algorithmic Fairness in Facial Recognition
  21. An Investigation Into the Role of Edge Computing in Reducing Latency in Facial Recognition Systems
  22. The Effect of Emotional States on the Accuracy of Facial Recognition in Security Settings
  23. A Comparative Study of Traditional vs Deep Learning-Based Facial Recognition Techniques
  24. The Impact of Facial Recognition on Consumer Behaviour in Smart Retail Environments
  25. Systematic Review of Legal Frameworks Governing Facial Recognition in the European Union
  26. Case Study Analysis of Facial Recognition Failures in Criminal Investigations
  27. The Role of Ethical AI Design in Reducing Bias in Facial Recognition Applications
  28. Qualitative Study on Employee Attitudes Toward Workplace Surveillance Using Facial Recognition
  29. The Influence of Facial Features on Recognition Reliability Across Ethnic Groups
  30. Quantitative Analysis of the Role of Training Data Size in Deep Facial Recognition Models
  31. The Impact of Facial Hair and Accessories on Algorithmic Facial Recognition Accuracy
  32. Mixed-Methods Research on the Adoption of Facial Recognition in Smart Homes
  33. An Analysis of GDPR Compliance Challenges in Facial Recognition Deployments
  34. Quantitative Study on the Effectiveness of Facial Recognition in Multi-Factor Authentication Systems
  35. Systematic Review of the Use of Facial Recognition in Border Control Technologies
  36. The Role of Transfer Learning in Enhancing Facial Recognition Model Generalisability
  37. A Qualitative Research Study on the Social Acceptance of Facial Recognition in Public Spaces
  38. The Impact of Environmental Conditions on Outdoor Facial Recognition Systems
  39. Experimental Study on the Use of Thermal Imaging in Night-Time Facial Recognition
  40. A Quantitative Assessment of Facial Recognition Accuracy Using Synthetic Data
  41. The Role of Facial Recognition in Personalised Advertising and Its Ethical Implications
  42. Comparative Study on Mobile-Based vs Fixed Camera Facial Recognition Systems
  43. Quantitative Research on the Role of Iris-Facial Recognition Fusion in Identity Verification
  44. Systematic Review of Racial Disparities in Facial Recognition Error Rates
  45. The Effect of Facial Recognition Surveillance on Public Behaviour in Urban Settings
  46. The Role of Deepfake Technologies in Challenging the Integrity of Facial Recognition
  47. Qualitative Study on the Psychological Impact of Constant Facial Surveillance in Schools
  48. An Analysis of Stakeholder Trust in Governmental Use of Facial Recognition Technologies
  49. Research Study on the Use of Facial Recognition in Assistive Technologies for the Visually Impaired
  50. The Impact of Data Augmentation Techniques on the Robustness of Facial Recognition Algorithms
  51. A Quantitative Evaluation of the Efficiency of Facial Recognition in Detecting Identity Fraud 

This list focuses on facial Recognition. You can also explore these related topic lists:

Frequently Asked Questions

Decide whether your question is technical, legal or social. Technical projects test accuracy or privacy techniques on public datasets, legal projects analyse legislation, case law and regulator guidance, and social projects study trust and experience through surveys or interviews.

Then narrow to one setting, such as policing, retail or borders.

Current themes include demographic differences in error rates and how match thresholds affect them, police live and retrospective facial recognition in the UK, shared retail watchlists, the EU AI Act’s rules on biometric identification, privacy-protecting face matching and public trust in different uses.

No single statute governs it. Police in England and Wales rely on common law powers, data protection, human rights and equality law and national guidance. The Court of Appeal found one force’s use unlawful in the Bridges case, while the High Court later upheld the Metropolitan Police’s revised policy.

One claimant is seeking to appeal that ruling, and the government has announced plans for a dedicated legal framework and a single regulator.

It bans real-time remote biometric identification in publicly accessible spaces for law enforcement, except for narrow purposes that national law must authorise, and bans building facial recognition databases by untargeted scraping of images.

Other remote biometric identification systems are classed as high-risk, with obligations due to apply after a delay agreed by EU lawmakers.

Only with care. Use public datasets released for research with the consent of the people shown, check their licences and avoid datasets withdrawn over consent concerns. Never scrape faces from social media.

If you photograph volunteers, you need informed consent, ethical approval and secure storage, because face images used for recognition are biometric data.

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