The system was trained with more than 6,000 photographs depicting typical road problems. This allowed him to learn to determine the flaws of the neural network in real time.
Developers are sure that the system will be useful not only for drivers, but also for road and municipal authorities. In the future, it is planned to integrate technology with video cameras in public transport, which will quickly collect data about the condition of the road surface and transfer them to local government organs.
Currently, the system will be under test and the prototype will be ready until September 2025. The full version of development will be presented in December 2025.
Source: Ferra
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