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Designed to improve sound and thermal insulation in buildings, the product is made from recycled tyres. The R&D result under development is a board produced from nylon textile material obtained during tyre recycling. At this stage, research has already confirmed good sound insulation properties, and further studies are planned to verify its thermal insulation performance.

Such a board could be used for sound and thermal insulation in buildings, replacing widely used materials such as mineral wool and glass wool. The board is expected to be thicker than some existing solutions on the market and may therefore be less suitable for residential spaces where maximising usable area is important.

A programmable, open-access communication electronics component. The team is developing a modular, programmable, open-access wireless communication chip that can be used to create wireless access points, enable device-to-device communication, and, with further development, support base station functionality.

This chip could be used as a component in electronic devices that require network connectivity, such as mobile phones, mobile communication infrastructure elements, and other smart devices.

A tool for enhancing the social, economic, and environmental sustainability of real estate projects. The gamified augmented reality modelling solution is designed to transparently and accessibly involve a wider range of stakeholders鈥攃itizens, communities, and building users鈥攊n the development and planning of public spaces and commercial real estate.

The solution consists of two components: software and a research methodology. Its operation is based on the following stages:

• Stage 1: A research methodology is developed (target groups are selected, e.g. residents, business representatives; evaluation parameters are defined, e.g. ease of navigation, perceived safety; game scenarios are created; and the object model is transferred into a virtual environment).
• Stage 2: Representatives of the target groups complete assigned tasks in an augmented reality environment using a gamified approach, while the system collects and analyses behavioural data.
• Stage 3: The results are summarised, and recommendations are prepared on how to improve the object so that it better meets user expectations and is more sustainably integrated into its environment.

Based on image recognition and machine learning. During R&D activities, an electrochemical microscope produced by a German manufacturer is being comprehensively upgraded鈥攂oth its hardware and software鈥攖o enhance its functionality and expand its measurement capabilities.

The improved microscope will feature automatic positioning and image recognition systems, enabling it to autonomously identify and classify scanned objects based on characteristics such as size, shape, and electrochemical properties, without human intervention.

SMART-SECM could be used by laboratories and research centres in chemistry, biology, and materials science to automate electrochemical microscopy processes and save researchers鈥� time.

Designed for the removal of organic compounds and odours from air, the product under development is a biofilter鈥揳dsorber with a biologically activated filling made from biochar. The biofilter is used to purify air from volatile organic compounds such as acetone, xylene, toluene, butanol, styrene, butyl acetate, and others.

It can be applied in the chemical, food, wood processing, and oil industries, as well as in printing facilities and other sectors where volatile organic solvents are emitted. The biofilter can also be installed in facilities where various thinners and solvents are used for cleaning parts or equipment.

In addition to removing volatile organic compounds, the biofilter eliminates unpleasant odours. It can also be used in agriculture (e.g. slaughterhouses and farms) and at landfill sites, where hydrogen sulphide emissions occur.

Designed to improve people鈥檚 well-being and productivity, this solution introduces a personalised, smart indoor microclimate control system for work and living spaces. It enables the adjustment of parameters such as temperature, humidity, and other environmental factors鈥攊ncluding background music and scents鈥攂ased on monitoring users鈥� emotional state to maintain optimal productivity.

All monitoring and control equipment is integrated into a single unit that can be installed in indoor spaces.

Designed to reduce traffic noise in or near residential areas, this R&D result is a noise-reducing asphalt pavement. The asphalt is produced from a patented mixture developed in Lithuania.

This type of asphalt can be applied to road sections within or near residential areas where it is important to ensure that traffic noise does not exceed permitted limits. The installation costs of this pavement are comparable to those of currently used alternatives.

Designed for higher-quality construction of pedestrian and cycling paths, the developed cement concrete modules are suitable for such applications and are stronger and more durable than currently used alternatives, such as paving stones or other concrete blocks.

This material reduces the risk of deformation and subsidence of pavements and cycle paths, ensuring long-term durability.

Designed to improve the acoustic properties of indoor spaces, this patented sound-absorbing panel is made from sludge generated during paper production. The material offers effective acoustic performance, enhancing indoor sound environments.

Its primary function is to reduce reverberation, making it particularly suitable for use in industrial and administrative spaces.

Designed for vertical greening of buildings, the product under development is a concrete panel for 鈥渓iving鈥� facade systems. The outer layer of the panel is adapted to support natural vegetation growth, allowing the 鈥渓iving wall鈥� to require minimal maintenance (no need for planting or watering).

Vegetated building facades provide thermoregulatory benefits鈥攈elping to keep interiors cooler in summer and warmer in winter鈥攖hereby reducing building operating costs (heating and ventilation). They also contribute to noise reduction and create an attractive visual appearance.

Due to these properties, the R&D product is suitable for both new construction and renovation projects, aiming to improve sustainability and reduce heating and ventilation costs.

Resistant to microbial degradation. This R&D result is a thermal insulation material made from hemp shives (i.e. waste generated during hemp processing). The material is additionally treated with natural substances to enhance its resistance to moisture and microorganisms.

Structural or decorative panels made from this material can be used in construction (as thermal insulation) and in furniture manufacturing (as structural boards). Although it is difficult to predict at this stage of development, the product is not expected to differ significantly in price from existing alternatives on the market.

It can be used in traffic management systems. The product under development is an artificial intelligence-based image recognition algorithm designed for pedestrian detection in traffic. To ensure efficient performance and high accuracy, a unique dataset has been developed.

This algorithm, together with the dataset, can be applied in traffic management systems to detect road users鈥攑rimarily pedestrians鈥攗nder various and particularly challenging traffic conditions (e.g. sunrise, sunset, heavy rain, snowstorms, etc.).

The algorithm has currently reached TRL 4. Further development is currently paused, as the implementation of a full traffic management system based on this solution would require long-wave infrared cameras. These are restricted or classified as military-use equipment in some countries, and therefore, it is necessary to assess the feasibility of their use in traffic systems.

Designed for medical assessment of bone density and joint load, this R&D result is a non-invasive pressure sensor developed using thin-film systems modified with electrically conductive polymers.

The sensor is a medical device intended for bone density and joint load analysis. It is a compact, patch-type sensor that can be used both for single-use diagnostics (e.g. in a doctor鈥檚 office) and for continuous monitoring during a patient鈥檚 daily activities.