Cinema operators globally face challenges in accurately monitoring occupancy and understanding audience behaviours due to the dynamic nature of cinema environments, characterized by fluctuating lighting conditions, varying audience sizes, and diverse seating patterns.

Traditional methods of occupancy monitoring and audience analysis often fall short in precision, adaptability, and depth of insights, leading to suboptimal utilization of space, inefficient advertising strategies, and a lack of personalized audience engagement.