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Department of Computer Science

2015_fbinf_Jung-Norbert.png (DE)

Prof. Dr Norbert Jung

Professor for Applied Computer Science in particular Embedded Systems/Chair of the Senate


Department of Computer Science, Institute of Safety and Security Research (ISF)


Sankt Augustin


C 279


Grantham-Allee 20

53757, Sankt Augustin


+49 2241 865 211

Research Projects

Biolab - Evaluation of biometric vertification systems

The Biolab project is dedicated to the continuous and comprehensive evaluation of biometric systems. The project investigates the performance, security and usability aspects of biometric systems. The results lead to training courses and workshops for authorities, police forces, manufacturers and end users. The Biometrics Evaluation Center (BEZ) at the Sankt Augustin campus is the place of implementation.

Project management at the H-BRS

Prof. Dr Norbert Jung Prof. Dr Robert Lange
BEZ_Keyvisual_hellblauer Hintergrund_1
Secure 3D-Fingerprint capture by means of OCT-Scanners ("3D-Finger")

The fingerprint in the passport or the identification at the entrance, for example in security zones of buildings, since long have become the target of criminals - the aim is to pretend a false identity or to conceal one's own identity: Evidence includes skin transplants, stickers with the imprint of other persons or the removal of the visible lines of the skin relief. Advanced methods are therefore needed to identify people quickly and reliably. The optical coherence tomography (OCT) method, which originated in medicine, promises greater reliability: In the "3D Finger" project, it is to be used in a new type of OCT fingerprint scanner. This opto-electronic process provides additional biometric information for the secure identification of a person and reliably prevents attempts to fool the system. This is made possible by being able to image much finer structures located deeper in the skin. If the system is suitably designed, sweat glands, for example, are imaged, but also whether the structure of the superimposed skin layers - epidermis, dermis and subcutis - match. This is like a second, "internal" fingerprint. Even blood flow can potentially be included to detect fakes with foreign fingerprints on dead carrier material. With the BMBF-funded project "3D-Finger", the Institute for Safety and Security Research (ISF) at the Bonn-Rhein-Sieg University of Applied Sciences aims to achieve automatic evaluation of these biometric features in the registration and authentication of persons. The aim is to improve access controls for critical infrastructure, airports, when crossing borders or at major events by means of automatic access control systems in such a way that even the rush of large crowds can be handled sufficiently quickly and secured against so called "spoofing attacks" - formally specified as Presentatation Attacks according to ISO/IEC 30107.

Project management at the H-BRS

Prof. Dr Norbert Jung
Teaser Placeholder
Cyber Security Learning Lab - High-security and emergency response

<p>Die Hochschule Bonn-Rhein-Sieg - einfach ausgezeichnet. Studieren Sie bei uns! Es erwartet Sie ein praxisorientiertes Studium auf der Basis aktueller Forschungsergebnisse.</p>

Project management at the H-BRS

Prof. Dr Karl Jonas
Teaser Placeholder
Beyond SPAI

Industrial robots could be used with higher efficiency than before due to today's technical improvements. But for the sake of accident prevention they still work almost exclusively "under themselves". People have to be kept out of their working area by means of fences or the working speed of the robots has to be reduced considerably, if people are in danger, for example during robot maintenance. It would be useful for improved productivity if during the normal work process, heavy parts are precisely positioned by the robot while a worker does complex mounting of components to the heavy part - safely natural! This approach is called „Smart Production“ within&nbsp; the future project„Industry 4.0“ . In case of the project „beyondSPAI“ the advancement of the Robot-Human-Interaction with regard to the safety. However, this requires a different kind of protective measures compared to those fences mentioned at the beginning. The collaborating robots should become the so-called direct collegues of the human being, being able to think proactively and to react flexibly to the people working next to them. The project is the continuation of the project "SPAI - safe person detection in the working area of industrial robots by application of an active NIR camera system." The research project&nbsp;of the Hochschule Bonn-Rhein-Sieg considers both safety of the far&nbsp;and of the critical close-up range directly between humans and the "collegue robot". This requires a multi-level, teethed protection in order to exhaust the efficiency of the collaboration and, at the same time, safeguard the safety of the employees.&nbsp; In order to find a solution, the project group focuses on the intelligent combination of&nbsp;&nbsp;different sensor technologies, especially within the close-up range of the robot.&nbsp; Directly mounted sensors on the robot should clamp a protective zone closely around the moveable parts of the system. On&nbsp;this spot, both optical point sensors directly on the tool of the robot and a net of ultrasound sensors should be applied. Optical sensors make it&nbsp;possible to reliably distinguish&nbsp;the relevant material surfaces and are especially suitable for&nbsp;skin detection due to their special reflecting&nbsp;character&nbsp;within the close-up ultrared area&nbsp;via a so-called " spectral signature". This method allows us to safely detect human skin independently of their&nbsp;color, sex and age. With regard to the reliability of a&nbsp;detection&nbsp;due to color&nbsp; characteristics whithin the visible spectral area, it performs much better. This property can be used especially while&nbsp;handling the tool of the robot, for example&nbsp;to impede the application of a welding tool in the end with an arm or a hand. Together with the ultrasound sensors and possible further sensor types this enables a multiple&nbsp;redundant surveillance&nbsp;of the close-up danger zone directly around the robot. In a medium-sized distance to the robot a special close-up ultrared camera system is to be applied in order to control a wider protection zone. The camera system is analoguely to the optical sensors for the close-up area in the position to detect skin with a high robustness. In this case, we add special image processing algorithms for the detection of persons by skin information in order&nbsp;to safely detect the silhouette of humans on the picture. For this purpose, this system should be mounted on&nbsp;a controllable mobile chassis, enabling the alignment of the camera to a context-specific&nbsp;critical danger zone.&nbsp;The protection system can identify the information known&nbsp;by programming the robot via the next actions. This way, we are in the position to specifically control areas, in which no people should be found during the next planned movement. By means of the described sensor technology and&nbsp;applying an intelligent software the&nbsp;industrial robot systems should in the end be in the position to reliably detect when they come too near to a human being and stop eyery dangerous movement for&nbsp;them in time. However, in such a dangerous case, as far as possible not the whole production line should be stopped, but only the concerned "collegue robot" until his sensors show no danger for people in the danger zone any more. Due to the practical relevance for future production methods the Hochschule was able to win the Institut für Arbeitsschutz der DGUV, the TH Köln and the company K.A. Schmersal GmbH &amp; Co. KG as partners for this&nbsp;project cooperation, whereupon Schmersal takes over 10% of the project costs. But also internally, the Hochschule interdisciplinary cooperates within the departments "Computer Sciences" and "Electrical engineering and Mechanical engineering" in order to be in the position to carry out the research project successfully with the necessary expertise.&nbsp;&nbsp; &nbsp; &nbsp;

Project management at the H-BRS

Prof. Dr Norbert Jung
Teaser Placeholder