Systém pro automatizaci tvorby a kontroly evidence silničního majetku na základě metod umělé inteligence

computer vision; terrain digital twin; segmentation

The aim of the project is to create a system for automated visual control of signage, transport equipment and other assets of the traffic manager. The system will use continuous data collection using mobile devices, will transfer the data to a cloud system for defect detection, and will clearly report them to the communication manager. It will use modern machine learning methods that make it possible to create a device that is cheaper and at the same time more usable than what is currently on the market. The overall system will consist of mobile devices for recording image data, software using artificial intelligence and existing map data for data selection directly in the mobile device, and a cloud system for final evaluation and reporting of faults and changes in communication.