Projects/Cases

The project established a system for measuring vehicle-generated noise levels in the urban environment using noise sensors and video surveillance cameras. The solution enables the collection and analysis of data on noise sources and intensity, providing a basis for developing proposals to reduce noise pollution. The Significance of the Project for Riga Residents of central […]

The project developed a mobile video analytics solution for detecting tire overload and overheating in cargo vehicles, replacing the less efficient “weigh-in-motion” technology. The Significance of the Project for Riga Cargo vehicles exceeding permissible axle loads cause significant damage to the city’s road surfaces, bridges, and overpasses, while also contributing to increased noise and air […]

The project introduced a new public transport recognition system at the intersection of Ulmaņa Gatve and Vaiņodes Street in Riga. The system automatically identifies and distinguishes between buses and trolleybuses, allowing traffic lights to prioritize each transport mode separately. This innovation ensures smoother and more efficient traffic flow across the intersection. The Significance of the […]

The project developed a digital solution for monitoring the operation of public transport lanes and “green wave” corridors using GPS data from intercity, international, and Riga city public transport routes. The system enables tracking of actual travel speeds, identifying delays, and responding promptly to traffic disruptions, thereby improving the overall efficiency of public transport operations. […]

Testing a new, innovative electric car charging solution using street lighting poles. The Latvian start-up company “SimpleCharge” has created the first electric charging station in street lanterns in the Baltic States, introducing technologies that effectively use existing infrastructure. This approach offers a simpler and cheaper way to develop an electric car charging network, especially in […]

Project I-NERGY fosters the use of artificial Intelligence (AI) solutions in the energy sector to improve energy efficiency and climate investment planning. The project has developed smart data analysis tools to help better manage energy consumption, predict return on investment and reduce risks. The Significance of the Project for Riga Safe, accessible and sustainable energy […]