GovTech: 3 new AI solutions for public sector launched by AAI Labs
AAI Labs has successfully finished three GovTech Lab projects launched by the Innovation Agency together with the Ministry of Economy and Innovation of the Republic of Lithuania to improve the efficiency and productivity of public sector institutions.
Innovative solutions were developed to improve the maintenance process of historic buildings (Cultural Infrastructure Centre), to apply cutting-edge AI techniques in the spectroscopic analysis of kidney stones (Vilnius University Hospital Santaros Klinikos), and to ensure the highest-quality public transport infrastructure by optimising bus routes (Klaipėda Transport).
The project "Development of a digital solution for the identification and preventive maintenance of historic buildings" saw the development of an AI-based system to not only maintain buildings properly but also to involve the community in the conservation process. The solution is using advanced image recognition techniques to analyse photographs to identify façade damage, thus ensuring a quick and efficient response to infrastructure problems, all translating into better protection of cultural heritage.
"In its day-to-day work, the Cultural Infrastructure Centre had been faced with the challenge of helping owners and managers of cultural heritage sites and historic buildings to spot early stage damage and to undertake timely preventive maintenance to avoid more damage or even deterioration in their buildings. In collaboration with AAI Labs, we have developed a digital solution to this challenge. The AI-based system will help managers of cultural heritage and historic buildings to identify damage, and will provide recommendations for proper and timely maintenance according to a generated preventive maintenance plan. It will also suggest advice to encourage owners to become more actively involved in the maintenance process. In the long term, this will undoubtedly help to preserve more authentic cultural heritage and historical buildings, and reduce the need for large-scale public and private investment for maintenance works", said Regina Rupšienė, Deputy Director of the Centre for Cultural Infrastructure.
The project "Optimising spectroscopic analysis of kidney stones using advanced artificial intelligence algorithms" was implemented for Vilnius University Hospital Santaros Klinikos. The newly developed method helps to determine the composition of kidney stones faster and more accurately during the examination (FTIR method), opening up new possibilities for applying AI solutions to the analysis of other types of spectra in the future. The system allows doctors to plan treatment more efficiently, reduces the risk of errors as well as the likelihood of patients returning due to recurrent stone formation. "The created prototype and prospective further development of this technology will undoubtedly improve the quality of patient treatment and will allow Santaros Klinikos to be an innovator in the application of ML methods in the medicine sphere in Lithuania," said Tadas Subonis, CTO of AAI Labs.
A prototype of a digital solution for public transport route scheduling simulation was made for Klaipėda Passenger Transport, aiming to optimise the schedules of public transport routes using machine learning models. Utilising historical and predictive data, a system has been developed to efficiently analyse and predict passenger and traffic flows, thereby allowing the reallocation of vehicles and drivers if needed. This reduces passenger waiting times at bus stops, avoids traffic congestion and contributes to reducing air pollution – aspects particularly important for sustainable urban infrastructure.
"Our work with the public sector is not only aimed at developing innovative solutions for national and regional problems but also at improving the quality of services provided to the public. Together we ensure reliable and safe decision-making using AI, thus contributing towards a resilient and future-ready Lithuania," said Dr. Aistis Raudys, CEO of AAI Labs.