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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Energy Conservation In Commercial Places Based On Real Time Occupancy Detection
Authors
  Shyam Sundar,  Dr.V. Ganapathy

Abstract
This paper proposes a method to boost the energy efficiency of air conditioners based on occupancy detection. A robust bidirectional people counter is proposed for estimating the real time crowd density in indoor spaces. A video surveillance camera mounted near the entrance films the crowd entering and exiting the place. The proposed algorithm extracts each person from the crowd, tracks each extracted person and then counts the person on making physical contact with a baseline. The tons of refrigeration required for cooling a place is directly proportional to the crowd density. According to the guidelines given by the Energy Star program of U.S. Environmental Protection Agency, the real time people count along with the floor space can be used to calculate the exact refrigeration tons required for cooling a place. A new breed of air conditioners called variable capacity air conditioners, having the ability to vary their tonnage over a wide range, are automatically adjusted to run at the computed refrigeration tons, thus adhering to Energy Star recommendation at real time. The novel method proposed in this paper would ensure that an air conditioner does not work more than what is exactly required. In the future, the proposed method can be implemented in air conditioners for saving energy in crowded indoor environments

Keywords- Crowd, People counting, Video Segmentation, Air conditioner, Energy saving.
Publication Details
Unique Identification Number - IJEDR1401178
Page Number(s) - 985-991
Pubished in - Volume 2 | Issue 1 | March 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Shyam Sundar,  Dr.V. Ganapathy,   "Energy Conservation In Commercial Places Based On Real Time Occupancy Detection", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 1, pp.985-991, March 2014, Available at :http://www.ijedr.org/papers/IJEDR1401178.pdf
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