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Title: Image Processing Occupancy Sensor

Abstract

The Image Processing Occupancy Sensor, or IPOS, is a novel sensor technology developed at the National Renewable Energy Laboratory (NREL). The sensor is based on low-cost embedded microprocessors widely used by the smartphone industry and leverages mature open-source computer vision software libraries. Compared to traditional passive infrared and ultrasonic-based motion sensors currently used for occupancy detection, IPOS has shown the potential for improved accuracy and a richer set of feedback signals for occupant-optimized lighting, daylighting, temperature setback, ventilation control, and other occupancy and location-based uses. Unlike traditional passive infrared (PIR) or ultrasonic occupancy sensors, which infer occupancy based only on motion, IPOS uses digital image-based analysis to detect and classify various aspects of occupancy, including the presence of occupants regardless of motion, their number, location, and activity levels of occupants, as well as the illuminance properties of the monitored space. The IPOS software leverages the recent availability of low-cost embedded computing platforms, computer vision software libraries, and camera elements.

Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B); USDOE Bonneville Power Administration (BPA)
Contributing Org.:
National Renewable Energy Laboratory
OSTI Identifier:
1358007
Report Number(s):
IPOS; 005293MLTPL00
R&D Project: 11-1838 Bonneville Power Administration; CR/16-24
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Software
Software Revision:
00
Software Package Number:
005293
Software CPU:
MLTPL
Source Code Available:
Yes
Country of Publication:
United States

Citation Formats

. Image Processing Occupancy Sensor. Computer software. Vers. 00. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B); USDOE Bonneville Power Administration (BPA). 14 Jul. 2016. Web.
. (2016, July 14). Image Processing Occupancy Sensor (Version 00) [Computer software].
. Image Processing Occupancy Sensor. Computer software. Version 00. July 14, 2016.
@misc{osti_1358007,
title = {Image Processing Occupancy Sensor, Version 00},
author = {},
abstractNote = {The Image Processing Occupancy Sensor, or IPOS, is a novel sensor technology developed at the National Renewable Energy Laboratory (NREL). The sensor is based on low-cost embedded microprocessors widely used by the smartphone industry and leverages mature open-source computer vision software libraries. Compared to traditional passive infrared and ultrasonic-based motion sensors currently used for occupancy detection, IPOS has shown the potential for improved accuracy and a richer set of feedback signals for occupant-optimized lighting, daylighting, temperature setback, ventilation control, and other occupancy and location-based uses. Unlike traditional passive infrared (PIR) or ultrasonic occupancy sensors, which infer occupancy based only on motion, IPOS uses digital image-based analysis to detect and classify various aspects of occupancy, including the presence of occupants regardless of motion, their number, location, and activity levels of occupants, as well as the illuminance properties of the monitored space. The IPOS software leverages the recent availability of low-cost embedded computing platforms, computer vision software libraries, and camera elements.},
doi = {},
year = {2016},
month = {7},
note =
}

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