In smart cities, Closed-Circuit Television (CCTV) cameras are crucial for enhancing law enforcement and public safety. Since CCTV cameras include both state-controlled and private-sector units in large numbers, it poses a considerable challenge to manage them. Automating the calculation of their coverage areas enables law enforcement and city planners to efficiently adapt surveillance strategies to the evolving needs of urban safety and dynamics.

This paper proposes a prototype that automates the digitization of a vast number of camera coverage areas, such as for a large city. Given the positions for each camera, its sector width, and length-of-view, the prototype automatically identifies each camera's capture area represented as a polygon of positions. The prototype's generated capture areas are validated to the ground truth representing the true capture areas for 51 cameras (in the city of Malmö, Sweden) provided by the Swedish law enforcement agencies.