The goal of the project is to reduce the death rate of neonatal and prenatal infants, and increase their chances of living via developing vision based non-contact body devices for monitoring physiological signals like pulse rate, breath rate, blood oxygenation, activity, and body temperature using remote photoplethysmographic methods.
We can efficiently use digital holographic microscopy for monitoring of sparse samples. From a recorded hologram the whole illuminated volume can be reconstructed using numerical simulation of wave propagation. From a single recorded hologram we can reconstruct several objects at different depths within the volume. Thus we can avoid the small depth of field constraint of conventional microscopes, and even 200 times larger volume can be observed from a single exposure.
Plastic bottle extruding and labeling development for building new innovative, environment friendly packaging materials and technology: The goal of the project is to develop a new environment friendly packaging and labeling material and technology. Nowadays, the labels are stuck with various adhesives, which generates extra chemical washing steps the recycling phase of these bottles. The new technology - developed in the framework of this project - targets to use thermal bonding of the labels without any added glue.
Our department develops a 2-camera vision system within the MTA-SZTAKI ISAAC internal project, which system can detect and track a small UAV in real-time on the Sindy aircraft. The system can also identify dangerous approaches.
Modern multifunctional clinical instruments enhance the accuracy of the medical diagnostics. The aim of this development project is to create a multi or hyper-spectral illuminator that can be used in medical imaging instruments such as endoscopes. The new illuminator will be able to generate high power light beam composed of arbitrary narrow bandwidth spectral components and modify the composition quickly in time to support multi-spectral imaging with a video camera.
The homepage of the project:
Traffic management plays an important role in the smart city concept, enabling the authorities to observe and control the traffic flow. The key elements of such system are the sensing nodes, which provide information regarding the speed of each individual vehicle. Current speed measurement devices use separate sensors for speed estimation (RADAR/LIDAR), and vehicle identification (camera). These are expensive devices, and thus not suitable for example, to monitor the whole road network of a city, which would require a large number of sensing nodes.
Conventional treatment of the cataract is the surgical replacement of the lens of impaired transparency by an artificial intraocular lens. This can provide considerable recuperation of the vision patients. Since the eye cannot focus the artificial intraocular lenses (IOLs), the latest IOLs have multiple focus, which enables patents to cover both short range and long range sharp vision. In this project we investigate through simultaions how, and what extent can the neural system adapt to the changed imaging properties of the implanted artificial lens, especially to the multi-focal ones.
Within this project a new microbiological measuring device has been developed that combines the fluorescent detection of objects with the digital holographic microscopes provided extended depth of fields and medium spatial resolutions. This way we have built a device that is able to detect the position of the fluorescent objects, which can be auto-fluorescent ones (containing e.g. chlorophyll, phycocyanin) or marked by fluorescent dies, and based the simultaneously recorded hologram the medium resolution image of these objects are also reconstructed.
In the case of flow simulations (CFD) the computational problem can be defined on a 2D or 3D array (NxM, NxMxL) type Virtual Cellular Machine while the operation of each processing element is described as a mathematical expression, acyclic data flow graph or UMF diagram. The problem to be solved is how to map the computational problem on a virtual array to a given physical FPGA where area/processor (logic slices, DSP slices), on-chip memory (BRAM) and off-chip memory bandwidth are limited. To conserve memory bandwidth the arrays are computed serially as a 1D stream of cells.
The goal of the TERASTART is to found a theory and practice, which provides a framework for experiences and applications of the terahertz (THz) band of the spectrum.
Our aim is to present a novel single-band and multi-band THz imaging and analysis methodology and practice, which is capable to perform wide area time-domain spectroscopy and integrating imaging.