Projects

The aim of the study is to determine the chemical composition of 30 propolis samples collected from different counties of Estonia and to study their antioxidant and antibacterial effects.

The project is focused on the asymmetric synthesis. More specifally, multifunctional and conformationally flexible catalyst will be elaborated and applied in the synthesis of various bioactive compounds, including human milk oligosaccharides. Use of more selective catalytic reactions reduces amounts of by-products and makes chemical synthesis more sustainable. Design, synthesis and applications of new catalyst are the main outcomes of the project.

Demo Project: Testing of Automated Machine Vision Based Program Generation Method for Collaborative Robots. The project develops and tests new machine learning-based machine vision support for collaborative robots used in production. The solution enables automated programming of the robot using the learned placement of the workpieces. The solution helps significantly increase the efficiency and safety of the production process and is applicable to a very wide class of production tasks.

Demo Project: Testing of Automated Machine Vision Based Program Generation Method for Collaborative Robots. The project develops and tests new machine learning-based machine vision support for collaborative robots used in production. The solution enables automated programming of the robot using the learned placement of the workpieces. The solution helps significantly increase the efficiency and safety of the production process and is applicable to a very wide class of production tasks.

Copper-related compounds were identified in human serum albumin samples with the aim of improving the quality of these products.

Emerging education in the fields of electrical engineering, informatics engineering, ICT and cybersecurity is crucial for addressing the challenges of the Green Deal, initiated by the European Commission. The development of new technologies and systems for transitioning to a green industry requires the preparation of the next generation of professionals and leaders with the knowledge, skills, and values needed to address the complex challenges of sustainable development. The aim of this project is to bring sustainability-focused insights into the study programs of the partner institutions for the sharing of experience, knowledge, best teaching-oriented technology-driven education practices, and achievements in electrical engineering and automation, mechatronics, adaptronics, information and communication technologies, informatics engineering, and cybersecurity that correspond to the needs of the green industry. Within this project, the growth of competencies aimed at meeting the demands of the industry in the Baltic and Nordic regions is expected.

Monitoring, recording and analysis of the correct parameters of production equipment at the prototype level using AI.

New methods for producing mat type material from wood springs will be developed based on current equipment and by complementing this with collaborative robot. Possibilities to form the wood spring mat with suitable gripping method will be researched to find an optimal solution to produce this type of packaging material. The found trajectories and kinematics by using the collaborative robot (Omron) will be later used as input for developing next generation of production machine. The generated trajectories and kinematics information from robot programs can be also optimized by using AI tools (Machine Learning) to find more optimized solutions (for trajectory and weaving) considering production speed, travelled trajectories, movement dynamics, created mat density etc. as an input parameters.

The development project of an artificial intelligence-based management system Chemi-Pharm focuses on organizing and visualizing the company's daily production logistics through a smart artificial intelligence-based management system, which contributes to increasing the production throughput and efficiency of production processes.

The aim of the project is to update the existing subject "Production Digitalization" (6 ECTS), modernize the content of the subject according to the latest rapid developments in the field. New development tools based on virtual (VR) and augmented (AR) reality are introduced on a significant scale, and applications based on them in the areas of processing and production.

With a current market value of 150 billion EUR/year, fish are among the most economically valuable species on the planet. The implementation of the European Water Framework and Habitats Directives ensure that long-term environmental monitoring is in demand across the EU. Economically valuable fish species include Salmon and critically endangered European Eel (native in Estonia). They must migrate from the sea into rivers as part of their lifecycle. Existing solutions for fish monitoring are expensive, requiring manual processing of 1000s of hours of video for each location. The "ExoFish" project will provide a highly needed and valuable commercial system capable of automatically detecting and counting wild fish with significantly better performance at 50% of the cost of existing technologies, by utilizing custom hardware and underwater artificial intelligence methods developed at TalTech in collaboration with the Estonian Environmental Agency and international commercial partners.

The Notary Chamber of the Republic of Azerbaijan launched an initiative to improve capacity building programs for lawyers and candidates. To this aim, it ordered from TalTech the organisation and provision of train-the-trainer courses for Azerbaijani judges in collaboration with experts from Germany and Estonia. New courses developed through performance of this contract shall close the gaps in the basic legal education of Azerbaijan, especially with regard to the case solution method.

BACHA project aims to remind European citizens about an historical event, as an example of Europeanism and intensive work for a better society.