Abstract:
CCTV surveillance is essential in guaranteeing the safety and security of buildings,
particularly big and complex structures. The existing manual layout design approach is
subjective, prone to human mistake, and lacks exact visualization of camera views, resulting
in blind areas and excessive camera overlap. This study provides a novel way to optimize
camera location utilizing GA and BIM. This research is divided into three sections. First, The
data extraction module extracts relevant information from the BIM model using pyRevit.
Second, the optimization framework, written in Python, uses GA to optimize camera
placement depending upon user-defined parameters such as number of cameras or desired
coverage percentage. Third, the visualization module uses pyRevit to incorporate the
optimized camera placements and orientation back into the BIM model, allowing for a visual
depiction of the camera configuration. A case study was conducted on the ground floor lobby
of River Garden Hospital to validate the suggested framework. The manually designed
camera layout was compared to the optimum layout obtained by the suggested framework.
The results showed that the optimized arrangement outperformed the manual design in terms
of coverage percentages and overlapping regions. Furthermore, optimizing the number of
cameras resulted in improved coverage with a smaller number of cameras
