Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications

Lelio Campanile; Fiammetta Marulli; Michele Mastroianni; Gianfranco Palmiero; Carlo Sanghez

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Paper

Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications

Topics: AI and IoT for Monitoring Critical Infrastructures; AI and IoT in Healthcare Applications ; AI for Edge and Fog Computing

In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs, 343-353, 2021 , Prague, Czech Republic

Authors: Lelio Campanile ¹ ; Fiammetta Marulli ¹ ; Michele Mastroianni ¹ ; Gianfranco Palmiero ² and Carlo Sanghez ²

Affiliations: ¹ Dipartimento di Matematica e Fisica, Università degli Studi della Campania ”L. Vanvitelli”, Italy ; ² GAM Engineering s.r.l., Italy

Keyword(s): Smart Sensor Networks, Internet of Things, Machine Learning, Deep Learning, Health Monitoring, Covid-19 Disease, Mass Screening Infection, Clinical Evaluation.

Abstract: In this paper, we introduce a solution aiming to improve the accuracy of the surface temperature detection in an outdoor environment. The temperature sensing subsystem relies on Mobotix thermal camera without the black body, the automatic compensation subsystem relies on Raspberry Pi with Node-RED and TensorFlow 2.x. The final results showed that it is possible to automatically calibrate the camera using machine learning and that it is possible to use thermal imaging cameras even in critical conditions such as outdoors. Future development is to improve performance using computer vision techniques to rule out irrelevant measurements.

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Paper citation in several formats:

Campanile, L.; Marulli, F.; Mastroianni, M.; Palmiero, G. and Sanghez, C. (2021). Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - AI4EIoTs; ISBN 978-989-758-504-3; ISSN 2184-4976, SciTePress, pages 343-353. DOI: 10.5220/0010537803430353

@conference{ai4eiots21,
author={Lelio Campanile. and Fiammetta Marulli. and Michele Mastroianni. and Gianfranco Palmiero. and Carlo Sanghez.},
title={Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - AI4EIoTs},
year={2021},
pages={343-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010537803430353},
isbn={978-989-758-504-3},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - AI4EIoTs
TI - Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications
SN - 978-989-758-504-3
IS - 2184-4976
AU - Campanile, L.
AU - Marulli, F.
AU - Mastroianni, M.
AU - Palmiero, G.
AU - Sanghez, C.
PY - 2021
SP - 343
EP - 353
DO - 10.5220/0010537803430353
PB - SciTePress