Building Occupancy Detection Using Thermal Imaging based Edge Computing

doi:10.1016/j.buildenv.2025.113871

Building Occupancy Detection Using Thermal Imaging based Edge Computing

2025-10-16

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DOI：10.1016/j.buildenv.2025.113871

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• In this study, we developed an open-source edge-computing thermal imaging system that can precisely detect the presence and count in-building occupancy in real-time. • The proposed system overcomes some of the existing problems of in-building occupancy detection technologies such as low accuracy, required motion, or incapability of detecting focused areas. • Different environmental characteristics have been considered in experiments. • The proposed technology has the potential to reduce building energy consumption as well as promote indoor thermal comfort due to the low resolution of the thermal camera. • We have open-sourced both hardware design and source code, together with a step-by-step tutorial.

Building Occupancy Detection Using Thermal Imaging based Edge Computing

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