Projects

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.

The BIOCONNECT project aims to help create a more robust, integrated, and inclusive Baltic ecosystem/cluster for biotechnology innovation as one of the key ingredients for the present and future economic competitiveness of the region. A strong and vibrant bioeconomy holds colossal potential to reinforce EU’s focus on sustainability and circularity, ensure a healthier, more active population - as well as pave the way for an exponential cascade of new applications so transformative as to be dubbed the Bio Revolution.

A reconfigurable robot system is being developed to check the quality and correct function of machine vision IoT modules. Variations of IoT modules and different are different visual quality control reliability is 80-87%. To make and fix the products, we have designed and manufactured a multi-position special jig, which is controlled by a robot. In order to identify products, a database of IoT modules was created, with the help of which algorithms identify and select the product. Also, quality assessment works based on the same logic. Checked products are divided into two: OK and defective. Defective products are separated and determined to be the actual defect.

The purpose of the project is to demonstrate the usefulness and added value of the data layers being created and thereby strengthen the capacity of Estonian industry in the use of EO data. The research and development activities of the project are aimed at: (1) artificial intelligence-based software development for estimating wave parameters in the coastal zone and (2) optimization of InSAR processing capabilities.