The main research challenge of our laboratory is to derive precise abstract information or decision from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements like different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera based patent monitoring systems or large view angle multi-camera systems in monitoring. The heavy load computational process is handled by many-core processor arrays, like GPU in desktop applications or embedded low-power systems.
Main Research Areas
- Combination of fluorescent and digital holographic microscopy;
- Design and application of the Color or Monochrome Digital Holographic Microscopes;
- Automatic monitoring, classification, counting of microbiological organisms;
- Visual remote aircraft detector sensor for UAVs;
- Visual navigation for UAVs;
- Design and programming of mixed signal focal-plane sensor-processor systems
The laboratory has three major topics. The first is the digital holographic microscopy. Here an already established technology for automatic algae, protozoa, and worm detection is reeady for licensing, while further research activities are pursued to combine the holographic microscope with fluorescent microscopy and other technologies. The second topic is the UAV collision avoidance system development. In this project, an embedded multi-camera vision system is built for identifying and tracking remote aircraft and deriving inertial data from optical flow for navigation. This work is done in-cooperation with Systems and Control Lab from our Institute, which develops the aircraft, and their navigation and control systems. The third topic is multi and hyperspectral imaging in agricultural and in medical diagnosis applications.
In cooperation with Budapest Waterworks we have developed an automatic water quality monitoring system DHM. This device, by using our patented the digital holographic microscope technology, is capable to detect, classify and count algae in water samples real time.
Our water quality monitoring device can perform real-time detection and counting of the number of worms and algae. Proliferation of the worms, otherwise, is a byproduct of the applied filtering process.
On board visual collision forecast and avoidance system has been developed for for UAVs.
The laboratory with its industrial partners delivers industrial microbiological measurement devices for automatic identification and counting algae, protozoa, and worm species either in already processed drinking or industrial water. Our industrial customers are waterworks, sewage farms, food and beverage industry, and environmental protection agencies.