Contribute to more accurate healthcare diagnoses, secure identification, and sustainable agriculture practices through advanced computer vision systems.
Enabling computers to understand images and patterns through the analysis of biometric data like fingerprints, facial scans, or voiceprints can lead to innovative solutions for many real-world challenges. For instance, you can help law enforcement identify suspects through facial recognition. Or you can make financial transactions more secure by using sensors to visualise vein patterns in a finger. You will learn to solve key challenges when it comes to dealing with biometric data. For example, in what ways can you adequately secure biometric data so that it isn’t compromised? How can you design inclusive and unbiased electronic systems that work equally well for all individuals despite their skin tone, gender, or physical disabilities? This is the impact you can have if you choose the specialisation in Computer Vision & Biometrics.
What is Computer Vision & Biometrics?
The focus of this specialisation is on the system level, and you will learn advanced techniques to analyse biometric data, develop sensors, and process signals. For example, sensors capture fingerprints, facial scans, or voice patterns. How can you design them in such a way that you ensure the accurate collection of biometric data? Another important part is computer vision. What are the most suitable techniques to extract meaningful information from an image or to detect image manipulations, such as deepfakes? In addition, you can focus on pattern recognition and machine learning and explore techniques to identify and categorise patterns within the data.
Thanks to our collaboration with the government and the police, you will be able to work on exciting real-life cases. For example, you can assess the effectiveness of automated facial recognition systems at the border control of Schiphol Airport. Or you can help the police choose the best fingerprint recognition system. You can also work on an assignment related to biometric privacy protection. For example, we collaborate with the Netherlands Forensic Institute (NFI) on developing methods to protect biometric data, especially in situations where facial recognition is used for identification or authentication.
What will you learn?
As a graduate of the Master's in Electrical Engineering with a specialisation in Computer Vision & Biometrics, you have acquired specific scientific knowledge, skills, and values that will help you in your future career.
Other master's
Is this specialisation not exactly what you are looking for? Maybe one of the other specialisations suits you better. You can also find out more about related master’s at the University of Twente: