UAB "Taikomasis dirbtinis intelektas”, as one of the project partners, together with the project leader UAB "Kautra", is implementing the project "5G innovation in the transport sector: intelligent route planning and management"

The main objective of the project is to develop a system for optimising intercity public transport based on 5G and Artificial Intelligence (AI) solutions. The project will be divided into 4 main axes: 1) Mobile camera-based event detection system; 2) Ticket scanning system; 3) Centralised discount card recognition system; 4) Dynamic pricing system. Dynamic pricing, passenger flow and driver status monitoring solutions are currently available on the market, but their implementation is quite limited. The product to be developed will combine several sub-systems into one, in order to provide more benefits to potential users and partners.

The project is implemented under the activity "Design, testing and development of digital technological solutions requiring 5G connectivity" of the Progress Measure No. 10-001-05-04-01 "Enhancing the value created by the transport system and the efficiency of the use of the infrastructure" of the Progress Measure No. 10-001-05-04-01 "Enhancing the value created by the transport system and the efficiency of the use of the infrastructure" of the Progress Measure No. 10-001-05-04-01 "Design, testing and development of digital technological solutions requiring 5G connectivity", of the Development Programme Manager, the Ministry of Transport and Communications of Lithuania, for the period 2022-2030.

The total value of the project is EUR 2 149 999, of which EUR 1 364 994 is financed under the European Union economic recovery and resilience facility instrument NextGenerationEU.

The project started in February 2024 and will run until the end of December 2025.

IT Logika has commenced implementing the project "Application of 5G technologies in unmanned aircraft base stations" No 08-004-K-0016. The project is funded by the "New Generation Lithuania" plan for economic recovery and resilience".

Project partners: Vilnius University, UAB Pixpro, UAB Taikomasis dirbtinis intelektas.

Project budget: EUR 5,160,157.24, of which the project will receive up to EUR 2,897,286.55 from the Economic Recovery and Resilience Facility.

The project activities will start in January 2024.

The end of the project activities is December 2025.

The objective of the project is the demonstration, final testing and evaluation of a UAV base station and a mini-class UAV and loading station systems based on 5G technology for monitoring urban transport infrastructure.

The project, together with partners, aims to develop innovative products, such as a UAV base station (DBOX M2 5G) and a mini-class UAV and charging station (DBOX Mini 5G) systems based on 5G technology for monitoring urban transport infrastructure.

The project will carry out the following experimental development activities: drone base station system works - responsible applicant UAB IT logika; development of software for real-time UAV position adjustment and generation of environmental orthoimagery mosaics, object recognition from UAV photos - responsible partner UAB Pixpro; improvement of drone control - responsible partner Vilnius University; development of drone image recognition capabilities - responsible partner UAB Taikomasis dirbtinis interests.

This project aims to modify base stations with 5G technology to provide fully automatic monitoring of urban transport infrastructure and statistics using advanced photogrammetry and intelligent image recognition technologies. The project will create the world's first 5G technology-based drone base station system, which will be able to fully automatically change the drone's batteries when the drone's weight is below 1 kg. Currently, there are no such base station systems in the world.

5G technology creates a wide range of opportunities for innovation in the market, one of which is the principle of operation of the products proposed in this project, based on the transmission of transport infrastructure monitoring data over a 5G connection. 5G and AI-based drones will be a sought-after product on the market, given that cities, especially those striving to be smarter, seek to make better use of their transport infrastructure, integrating it into intelligent traffic flow and infrastructure management systems.

UAB Taikomasis dirbtinis intelektas has launched the project "5G and Artificial Intelligence-based Public Transport Optimisation System" No 08-004-K-0005. The project is funded by the Economic Recovery and Resilience Facility under the "Next Generation Lithuania" plan.

Project partners: Vilnius University, UAB INNTEC.

EUR 1,399,925.46, of which up to EUR 848,445.71 will be allocated to the project under the Recovery and Resilience Facility.

The project activities will start in February 2024.

The end of the project activities is December 2025.

The project aims at the development, operation and user evaluation of an innovative transport optimisation and recommendation system based on 5G and IoT solutions to promote public transport.

The project will carry out research and experimental development activities together with partners to develop a 5G and IoT solution-based transport optimisation and recommendation system.

The first phase of the research will investigate the performance of 5G equipment under realistic conditions and define a list of suitable equipment characteristics. The second phase will aim to use the deployed equipment to collect the necessary data for training the models or to simulate realistic conditions in an attempt to obtain data as close as possible to realistic ones. Phases 3 to 6 will involve the development of initial mock-ups of the systems, using the data collected to train the IoT models, integrating the models into appropriate software interfaces and testing the mock-ups under realistic conditions. The first phase of experimental development will aim to describe the requirements of the prototype 5G IoT models, which will be used to develop the corresponding systems. The second phase will involve the development of prototype products to be tested and demonstrated under realistic conditions. The third phase will develop pilot versions of the systems based on the results of the testing, with final testing of the versions. The final phase of experimental development will involve the deployment of the pilot versions on customer systems and the evaluation of product performance and quality.

A number of small-scale systems are currently available on the market that are capable of capturing road users and making appropriate decisions. However, there are not many large-scale systems (at city level) and there is not yet a system on the market that collects data from 5G-access users, captures incidents with fixed and mobile cameras and provides some conclusions based on the data collected. The project aims to develop a system that will be able to capture transport and/or road user related incidents with the help of fixed and mobile cameras, 5G connectivity and IoT solutions, and provide relevant recommendations to both road users and partners: route suggestions, traffic alerts, public transport load forecasts, etc.

AAI Labs-led consortium is developing an audiobook creation suite that will allow publishers to voice audiobooks with AI-synthesized speech of highest quality, in various European and African languages.

Project number AFE 2255.

Partners: Quickfox Publishing (South Africa), Bulaja naklada (Croatia).

Funded by Lietuvos mokslo taryba.

The consortium is seeking to predict public transport usage patterns hours in advance, based on stations’ and buses’ occupancy. This will optimise the transport offering and increase passenger capacity during peak hours.

Project number PPT 364.

Partners: DFRC Co Ltd. (South Korea and Singapore), data provided by JUDU (Lithuania).

Funded by Lietuvos mokslo taryba.