Check out our latest projects.


The aim of this project is to improve hard competencies of mechatronics graduates and prepare them for future work. For this purpose, we would like to implement an innovative method for teaching and learning mechatronics based on virtual reality. We believe, that by applying virtual reality laboratory as a part of existing curriculum in the field of mechatronics, we will achieved the main goal of this project, which is to improve the quality and efficiency of education as well as qualifications, competences and skills of graduates and increase their competitiveness in the labor market.


This is an R&D project between VERIFF OÜ and iCV Lab in which new verification concepts are being researched and developed. The developed techniques will be used in order to improve the assessment of the veriffication process.


This is an R&D project between BERCMAN OÜ and iCV Lab in which the Bercman Operating System (BOS) will be improved for easier usage by operators. The embded system will be optimized so that the developed smart traffic signs will work robustly in real-time and real-world setup.

Report Auto

This is an R&D project between Report Auto OÜ and iCV Lab in which the iCV is developing an automatic techniques for improving the documentation of car status including 360 degree view creation, automatic damage detection, automatic plate number recognition and both mobile app and web app development.

Rakuten Fits.Me

This is an R&D project between Rakuten Fits.Me, iCV Lab and NLP research group in which the iCV and NLP group are developing new multilingual multimodal image-text search for fashion items provided by Rakuten Fits.Me.


This is a research project finance by Estonian research Council, in order to improve human-robot interaction. In this research many novel aspects of human behaviour analysis, mainly using emotion and micro emotion recognition have been developed. As a result of this research grant, iCV Lab has become one of the leading lab in human behaviour analysis in Europe by conducting research work such as unfelt emotion recognition, block/unblock emotion recognition and compound emotion recognition.


An important scope of the DIMTV project is to increase the number of experts and qualified workers and to reduce the existing unemployment rate in the field of MDTV in both Albania and Kosovo. Our aim is to contribute to the improvement of the actual situation in these countries and reduce both the unemployment rate and the lack of experts in the MDTV-related areas to an important extent. To achieve this, AMU will offer a new Professional Master with three specific specializations as Image Processing, 3D Animation, and Production, and Post-Production.