Scientists at the NSU Center for Artificial Intelligence (CAI NSU) were awarded a patent for an electronic computing model that detects urban infrastructure defects and identifies procedures to eliminate them.
According to Andrey Nechesov, PhD., one of the models’ developers, and Head of the Sigma Project research department at CAI NSU,
The device is a hybrid boxed solution. This is an intelligent system that uses video recording cameras in the city and a specially trained neural network to accurately identify various defects in urban infrastructure and utility lines (non-working light poles or traffic lights, potholes in the roads, etc.). Then, using a logical-semantic block, a solution is formulated to eliminate the problem.
"Sigma" is a flagship project that provides a framework for developing digital twins of smart cities. This makes it possible to integrate other practical implementations using the API mechanism. The first stage of the Project was to develop an electronic computing device for detecting defects in urban infrastructure. Work is currently underway on developing more useful models and inventions. The final result will be a whole line of solutions that will be integrated into the "Sigma" framework and can be used to optimize monitoring and management of an urban environment.
