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We work actively on technology transfer and market the latest research results from the Computer Vision Lab (CVL) in our products.

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Current research projects:


The name EnterTrain represents the main goal of the three-year research project in the AAL area, on which cogvis is working together with TU Wien: Independent elderly people living at home should remain fit playfully, thereby improving their health and quality of life. This will be done in an entertaining way. At EnterTrain, this is addressed by means of new and innovative technology for detecting movement as well as assessing individual mobility and game characteristics, on the basis of which a personalised gaming platform for use in one's own home is realised. The gaming platform is based on so-called exergames, i.e. computer games which are played with body movements and thus offer an inherent effect through inconspicuous training.


Within the scope of the three-year research project wellbeing, solutions for workplaces of older employees were developed. It combines ergonomics, exercise, stress and nutritional modules that help employees to identify health risks at an early stage. cogvis takes care of the software management infrastructure and analysis software for posture analysis and automatic recognition of stress risk factors using 3D sensor technology. Various companies and universities are involved in the project, which is supported by the Austrian Federal Ministry of Transport, Innovation and Technology and the German Federal Ministry of Education and Research, among others. In cooperation with Fitbase GmbH from Hamburg, we are currently working on a further development to market maturity. This product is currently in its beta phase


In Austria, at present 25,500 beekeepers care for approx. 380,000 bee colonies. The introduction of the varroa mite - a parasite that feeds on the bee's blood and makes it possible for disease-causing viruses to infiltrate the insects - poses an increasing challenge for beekeepers in Europe and North America. Only with regular varroa mite diagnostics and control is it possible to ensure the survival of bee colonies and thus the pollination of crops. Within the context of the two-year research project MIC-Cam (Mite Invasion Control Camera), cogvis is developing a system for the automated detection of mites by means of a camera, in which the bees are monitored during take-off and landing on the flight board, in order to detect attached varroa mites in real time without affecting the bees. Currently available methods are invasive, complex and, above all, unreliable. Therefore, innovative methods of digital image processing and machine learning are implemented for MIC-Cam and used for real-time detection of mites in the image sequences. Thus, a stress profile of the bee colony can be created fully automatically in order to be able to initiate mite-killing treatment in time if necessary.