Design and Performance of an Image Processing Occupancy Sensor
The design and performance of a novel image-processing occupancy sensor (IPOS) based on production-grade embedded hardware are described. The IPOS overcomes several issues related to traditional passive infrared (PIR) and ultrasonic-based motion sensors. It also provides a rich set of feedback signals that more sophisticated applications can use for occupant-optimized lighting, daylighting,temperature,and ventilation control, as well as with building security systems. The IPOS was tested as part of an integrated system consisting of a building energy management system (EMS) alongside a pair of PIR sensors produced by different manufacturers. IPOS output was fed to the EMS via the building automation and controls network (BACnet) and logged alongside the PIR outputs in an officeenvironment over several days. Tests suggest the IPOS device identifies occupancy events better than two commercial PIR sensors (94.1% accuracy compared to 73.1% on average). Also, IPOS could correctly identify stationary occupants whereas the PIR sensors could not.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1573192
- Report Number(s):
- NREL/CP-5500-54800
- Resource Relation:
- Conference: Presented at the Second International Conference on Building Energy and Environment 2012, 1-4 August 2012, Boulder, Colorado
- Country of Publication:
- United States
- Language:
- English
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