Areas of expertise

Biometic

Building on our extensive experience in biometrics, we are researching solutions for recognizing people based on biometric characteristics such as fingerprints, facial features, finger or hand veins, and others. We also focus on analyzing human behavior in video.

Liveness detection

The aim is to determine whether a biometric feature belongs to a real person or if it is fake. Our focus is on testing and developing technologies to authenticate biometric features, specifically in the areas of 2D and 3D face and fingerprint representation.

Sensoric device

As part of our activities, we have experience in developing sensor devices and related algorithms. We have developed biometric sensors as well as camera modules for fast data processing. Some of our sensors are protected by utility models and we are also the inventors of an international patent.

Artificial Intelligence

Following the trends in image processing, we are looking at other applications using AI for camera data processing in addition to the use of neural networks for biometrics. AI is also transforming biomedical imaging, enabling more accurate diagnostics and improving the analysis of medical images like MRI and CT scans.

Latest

  • Bakalářské a diplomové práce pro akademický rok 2024/2025 – Pro nový akademický rok jsme připravili zajímavá zadání prací, která jsou jak aplikační, tak i výzkumná. Více informací ZDE.

Current research

AI for Edge computing

We focus on developing solutions for fast detection and analysis of characteristic aspects in a scene using small neural networks. We are also working on transforming neural networks for use in edge computing.

3D bloodstream sensing sensor

Our research explores how to utilize the characteristics of finger veins. We have developed a new sensing device that can effectively sense finger veins from multiple angles. Image processing algorithms are being developed.

Hand liveness detection

Fast and reliable spoof detection is a key component of all high-security biometric sensors. As part of this research, we are focusing on improving the robustness of hand recognition sensors against spoofing.

Generation of synthetic biometric data

Synthetic data can be used to train and evaluate machine learning-based algorithms. Our primary focus is on the generation of synthetic fingerprints and facial images.

Multimodal people detection in surveillance video

In practice, there are often situations where it is not possible to detect and recognize a person's face. In this case, it is necessary to focus on other features of the person. The results of this research can be used in security services as well as in commercial applications.

About


The STRaDe research group is part of the Institute of Intelligent Systems at the Faculty of Information Technology of the Brno University of Technology. The main focus of the group is research and development of technologies in the field of security, which includes both software and hardware. Security technologies cover a wide range of applications and devices. Most of our research is focused on biometrics. We are involved in many aspects of biometrics and our knowledge and focus covers a wide range of algorithms and solutions such as fingerprinting and recognition, iris and retina, 3D face and hand, vein recognition, liveness detection of various biometrics, etc. We also focus on developing solutions using image processing and artificial intelligence. We have experience with classical deep neural networks, GANs, LSTM networks and their acceleration.

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