Damage Control is an innovation study focused on developing an AI-powered solution for the automatic detection and analysis of vehicle damage, enabling faster and more accurate damage assessment. The solution eliminates subjective evaluations, speeds up inspection processes, and enhances efficiency for insurance companies, car rental businesses, and service providers.
DunavNET is responsible for developing and implementing the AI model, integrating the solution into users’ digital systems, and optimizing recognition accuracy. Through advanced data processing and algorithm adaptation, DunavNET contributes to building a reliable and scalable damage assessment system.
Innovation Study Damage Control has received funding through the FFplus project, which is funded by the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101163317. The JU receives support from the European Union’s Horizon Europe Programme.