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Title: Image-based occupancy sensor

Abstract

An image-based occupancy sensor includes a motion detection module that receives and processes an image signal to generate a motion detection signal, a people detection module that receives the image signal and processes the image signal to generate a people detection signal, a face detection module that receives the image signal and processes the image signal to generate a face detection signal, and a sensor integration module that receives the motion detection signal from the motion detection module, receives the people detection signal from the people detection module, receives the face detection signal from the face detection module, and generates an occupancy signal using the motion detection signal, the people detection signal, and the face detection signal, with the occupancy signal indicating vacancy or occupancy, with an occupancy indication specifying that one or more people are detected within the monitored volume.

Inventors:
;
Issue Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1179792
Patent Number(s):
9,036,866
Application Number:
13/752,101
Assignee:
Alliance for Sustainable Energy, LLC (Golden, CO)
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Jan 28
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 97 MATHEMATICS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS

Citation Formats

Polese, Luigi Gentile, and Brackney, Larry. Image-based occupancy sensor. United States: N. p., 2015. Web.
Polese, Luigi Gentile, & Brackney, Larry. Image-based occupancy sensor. United States.
Polese, Luigi Gentile, and Brackney, Larry. Tue . "Image-based occupancy sensor". United States. https://www.osti.gov/servlets/purl/1179792.
@article{osti_1179792,
title = {Image-based occupancy sensor},
author = {Polese, Luigi Gentile and Brackney, Larry},
abstractNote = {An image-based occupancy sensor includes a motion detection module that receives and processes an image signal to generate a motion detection signal, a people detection module that receives the image signal and processes the image signal to generate a people detection signal, a face detection module that receives the image signal and processes the image signal to generate a face detection signal, and a sensor integration module that receives the motion detection signal from the motion detection module, receives the people detection signal from the people detection module, receives the face detection signal from the face detection module, and generates an occupancy signal using the motion detection signal, the people detection signal, and the face detection signal, with the occupancy signal indicating vacancy or occupancy, with an occupancy indication specifying that one or more people are detected within the monitored volume.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {5}
}

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Works referenced in this record:

A design model for building occupancy detection using sensor fusion
conference, June 2012

  • Ekwevugbe, Tobore; Brown, Neil; Fan, Denis
  • 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST) - Complex Environment Engineering
  • DOI: 10.1109/DEST.2012.6227924

Occupancy and indoor environment quality sensing for smart buildings
conference, May 2012

  • Han, Zhenyu; Gao, Robert X.; Fan, Zhaoyan
  • 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings
  • DOI: 10.1109/I2MTC.2012.6229557