Ensuring the maximum level of visibility in a city with uneven terrain or high buildings is crucial for disaster management and safety control. In particular, it can be instrumental for:
Automating the location selection for long-range surveillance cameras can effectively increase the observable areas in smart cities. In this project, we created a digital twin of Nur-Sultan City in ArcGIS software. We are utilizing reinforcement learning to determine the coordinates for long-range surveillance cameras to maximize observable areas.