Journal of Building Engineering

Researchers at The University of Osaka have developed a novel framework for measuring occupancy in open-plan offices with unprecedented precision. This innovative system uses computer vision and AI to analyze occupancy at a micro-scale level, focusing on specific functional zones within the office. This addresses a significant gap in current occupancy tracking methods, which typically only provide macro-level data and struggle to capture detailed usage patterns within shared spaces.

This pyroclastic material—usually considered as waste—is rich in iron, enabling it to efficiently block X-rays and gamma rays.