Image processing occupancy sensor
Abstract
A system and method of detecting occupants in a building automation system environment using image based occupancy detection and position determinations. In one example, the system includes an image processing occupancy sensor that detects the number and position of occupants within a space that has controllable building elements such as lighting and ventilation diffusers. Based on the position and location of the occupants, the system can finely control the elements to optimize conditions for the occupants, optimize energy usage, among other advantages.
- Inventors:
- Issue Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1326791
- Patent Number(s):
- 9456183
- Application Number:
- 12/947,045
- Assignee:
- Alliance for Sustainable Energy, LLC (Golden, CO)
- Patent Classifications (CPCs):
-
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02B - CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
H - ELECTRICITY H05 - ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR H05B - ELECTRIC HEATING
- DOE Contract Number:
- AC36-08GO28308
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2010 Nov 16
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; 47 OTHER INSTRUMENTATION
Citation Formats
Brackney, Larry J. Image processing occupancy sensor. United States: N. p., 2016.
Web.
Brackney, Larry J. Image processing occupancy sensor. United States.
Brackney, Larry J. Tue .
"Image processing occupancy sensor". United States. https://www.osti.gov/servlets/purl/1326791.
@article{osti_1326791,
title = {Image processing occupancy sensor},
author = {Brackney, Larry J.},
abstractNote = {A system and method of detecting occupants in a building automation system environment using image based occupancy detection and position determinations. In one example, the system includes an image processing occupancy sensor that detects the number and position of occupants within a space that has controllable building elements such as lighting and ventilation diffusers. Based on the position and location of the occupants, the system can finely control the elements to optimize conditions for the occupants, optimize energy usage, among other advantages.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {9}
}
Works referenced in this record:
Fuzzy-based self-organizing control for building systems
conference, January 1994
- Brackney, L.; Shoureshi, R.
- Proceedings of 1994 American Control Conference - ACC '94
A Computational Approach to Edge Detection
journal, November 1986
- Canny, John
- IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, Issue 6
Building occupancy detection through sensor belief networks
journal, September 2006
- Dodier, Robert H.; Henze, Gregor P.; Tiller, Dale K.
- Energy and Buildings, Vol. 38, Issue 9, p. 1033-1043
Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention
journal, December 1993
- Lindeberg, Tony
- International Journal of Computer Vision, Vol. 11, Issue 3
The Effects of Changing Occupancy Sensor Time-out Setting on Energy Savings, Lamp Cycling and Maintenance Costs
journal, July 2001
- Maniccia, Dorene; Tweed, Allan; Bierman, Andrew
- Journal of the Illuminating Engineering Society, Vol. 30, Issue 2