Analysis of Methods and Means of Identifying Infrastructure Anomalies Using Unmanned Aerial Vehicles Within the Scope of a Smart City

This article analyzes acute problems in identifying infrastructure anomalies faced by modern cities. It examines the possibilities of autonomous drone navigation using artificial intelligence, specifically Computer Vision. A client-server architecture is proposed for autonomous drone navigation and analysis of the obtained images during server-side infrastructure inspection by a drone on the server side, aimed at identifying infrastructure anomalies.