Optimal Coverage of Hybrid Models for Highprecision Measurement

In recent years, region coverage for surveillance has increasingly required customized configurations to address complex monitoring requirements. This paper presents a region coverage algorithm for cameras under specific constraints, targeting scenarios where camera placement is restricted to the perimeter and certain protected areas within the area must be excluded from monitoring. The proposed approach leverages a modified genetic algorithm that refines the candidate coverage set by omitting points within these protected areas and adjusts camera orientations accordingly. Through simulation, we evaluate the algorithm's adaptability across various configurations, including circular and square protected regions and different scene layouts.