Areas of expertise
Biometrics and Forensic Data Analysis
Our research focuses on developing methods for recognizing individuals based on biometric characteristics such as fingerprints, faces, and vein structures. In addition, we specialize in the forensic analysis of image data, particularly the analysis of human behavior and scene context.
Sensors and Edge Computing
We develop sensing devices and vision algorithms using edge computing to stay ahead of AI trends. By integrating new technologies, we enable efficient, autonomous decision making directly on the device.
Medical Data Analysis
Our team develops methods for processing medical images, including X-rays, ultrasounds, and CT scans, to support diagnosis and medical decision-making. Advanced information technologies are used to improve patient care and the efficiency of healthcare professionals.
Latest
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.
Contact
