Experimental study on surveillance video-based indoor occupancy measurement with occupant-centric control
Accurate occupancy information is essential for closed-loop occupant-centric control (OCC) in smart buildings. However, existing vision-based occupancy measurement methods often struggle to provide stable and accurate measurements in real indoor environments, and their implications for downstream HVAC control remain insufficiently studied. To achieve Net Zero emissions by 2050, this paper presents an experimental study of large language models (LLMs)-enhanced vision-based indoor occupancy measurement and its impact on OCC-enabled HVAC operation. Detection-only, tracking-based, and LLM-based refinement pipelines are compared under identical conditions using real surveillance data collected...
| Authors | Irfan Qaisar, Kailai Sun, Qingshan Jia et al. |
|---|---|
| Primary category | eess.SY |
| Published | 27 March 2026 |
| Last updated at source | 27 March 2026 |
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