Application of AI-based Image Processing for Occupancy Monitoring in Building Energy Management

Andreas Reichel, Jens Döge, Dirk Mayer, Jan Bräunig

2022

Abstract

Smart Buildings enable significant savings in energy and CO2 emissions by model-predictive methods. The building users have a considerable influence on the energetic building management. On the one hand, they dictate the comfort parameters to be set. On the other hand, they generate internal thermal gains through their presence, affect humidity, consume oxygen and produce carbon dioxide. The more precisely the user behavior is known, the more precisely and resource-efficiently the room climate control can be adapted to this user behavior. In this paper, an intelligent vision-based sensor concept is proposed and tested that is capable to estimate occupancy and activity inside a building. The contribution initially concentrates on functional buildings, since here, compared to residential buildings, there is an even greater need for use-oriented room air conditioning, including savings potential.

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Paper Citation


in Harvard Style

Reichel A., Döge J., Mayer D. and Bräunig J. (2022). Application of AI-based Image Processing for Occupancy Monitoring in Building Energy Management. In Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-572-2, pages 139-146. DOI: 10.5220/0011080600003203


in Bibtex Style

@conference{smartgreens22,
author={Andreas Reichel and Jens Döge and Dirk Mayer and Jan Bräunig},
title={Application of AI-based Image Processing for Occupancy Monitoring in Building Energy Management},
booktitle={Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2022},
pages={139-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011080600003203},
isbn={978-989-758-572-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Application of AI-based Image Processing for Occupancy Monitoring in Building Energy Management
SN - 978-989-758-572-2
AU - Reichel A.
AU - Döge J.
AU - Mayer D.
AU - Bräunig J.
PY - 2022
SP - 139
EP - 146
DO - 10.5220/0011080600003203