Evaluation of an Arduino-based IoT Person Counter

Bruno F. Carvalho, Caio C. M. Silva, Alessandra M. Silva, Fábio Buiati, Rafael Timóteo

Abstract

The IoT devices can provide a wide range of information, which can be used to infer the behavior patterns with a large semantic bias. In this sense, an IoT network has the ability to use trafficked information to perform its own management. One type of information that can be used by an IoT network is the amount of people in a certain place. This information, combined with others, can help IoT-based systems discover characteristics about the environment in which it is deployed. Thus, the integration of the data captured provides the achievement of manifold applications, such as air conditioning regulation, security access and people management in a working environment. In this research, it is proposed the implementation of an IoT person counter. Two different technologies were used, aiming to verify the best option to design a counter device with low-cost microcontrollers and sensors. Experimental results shows that in controlled environments the IoT person counter has a satisfactory accuracy. Some limitations were also identified in order to clarify the scenarios where those devices can be used.

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Paper Citation


in Harvard Style

Carvalho B., Silva C., Silva A., Buiati F. and Timóteo R. (2016). Evaluation of an Arduino-based IoT Person Counter . In Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD, ISBN 978-989-758-183-0, pages 129-136. DOI: 10.5220/0005954601290136


in Bibtex Style

@conference{iotbd16,
author={Bruno F. Carvalho and Caio C. M. Silva and Alessandra M. Silva and Fábio Buiati and Rafael Timóteo},
title={Evaluation of an Arduino-based IoT Person Counter},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,},
year={2016},
pages={129-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005954601290136},
isbn={978-989-758-183-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,
TI - Evaluation of an Arduino-based IoT Person Counter
SN - 978-989-758-183-0
AU - Carvalho B.
AU - Silva C.
AU - Silva A.
AU - Buiati F.
AU - Timóteo R.
PY - 2016
SP - 129
EP - 136
DO - 10.5220/0005954601290136