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Students
مصاريف
تاريخ البدء
وسيلة الدراسة
مدة
حقائق البرنامج
تفاصيل البرنامج
درجة
الماجستير
تخصص رئيسي
Artificial Intelligence | Computer Graphics | Computer Science
التخصص
علوم الكمبيوتر وتكنولوجيا المعلومات
لغة الدورة
إنجليزي
عن البرنامج

نظرة عامة على البرنامج


This Computer Vision & Biometrics program equips students with advanced techniques to analyze biometric data and develop computer vision systems. Through hands-on experiments and collaborations with industry experts, graduates gain expertise in protecting biometric data, designing inclusive systems, and solving real-world challenges in healthcare, security, and agriculture. The program emphasizes responsible data use and fair treatment of individuals' data.

مخطط البرنامج

Outline:


Computer Vision & Biometrics


Objectives

  • Contribute to more accurate healthcare diagnoses, secure identification, and sustainable agriculture practices through advanced computer vision systems.
  • Enable computers to understand images and patterns through the analysis of biometric data like fingerprints, facial scans, or voiceprints.
  • Solve key challenges when it comes to dealing with biometric data, such as securing data and designing inclusive and unbiased electronic systems.

Content

  • System-level analysis of biometric data
  • Advanced techniques to analyse biometric data, develop sensors, and process signals
  • Computer vision techniques to extract meaningful information from images and detect image manipulations
  • Pattern recognition and machine learning techniques to identify and categorise patterns within data

Course Schedule

  • Advanced Computer Vision and Pattern Recognition:
  • Object, place, and face recognition to automatically analyse and extract information from images or videos.
  • Introduction to Biometrics:
  • Various modalities of biometric recognition, including face, iris, fingerprint, and finger vein recognition.
  • Advanced Topics in Biometrics:
  • Performance and effectiveness of biometric systems with limited amounts of data.

Individual Modules

  • Biometric Privacy Protection: Methods to protect biometric data, especially in facial recognition situations.
  • Automated Facial Recognition Systems: Effectiveness at border control.
  • Fingerprint Recognition System Selection: Best system for police use.

Teaching:


Methods

  • Traditional lectures
  • Hands-on experiments
  • Real-life case studies in collaboration with government and police

Faculty

  • Dr. Luuk Spreeuwers, Programme mentor Computer Vision & Biometrics

Unique Approaches

  • Collaboration with the Netherlands Forensic Institute (NFI) on biometric data protection methods.

Careers:


Potential Career Paths

  • Computer vision engineer
  • Biometrics engineer
  • Data scientist
  • Software developer
  • Researcher

Opportunities

  • Work in industries such as healthcare, security, and agriculture.
  • Develop innovative solutions to real-world challenges.
  • Contribute to the advancement of computer vision and biometrics technology.

Outcomes

  • Graduates with a solid foundation in computer vision and biometrics.
  • Graduates with the skills to design, implement, and evaluate biometric and computer vision systems.
  • Graduates with an understanding of the responsible use of data, privacy protection, and fair treatment of individuals' data.
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