Autors: Tsvetkov, V. A., Spasov, G. V., Petrova, G. I.
Title: IoT solution for monitoring of data in the visible and infrared spectrum
Keywords: Ambient Intelligence, Assisted Living, Internet of Things (IoT), Smart devices, Infrared imaging

Abstract: In this paper a cost-effective combination between infrared and visible camera for thermal imaging applicable in AAL and object monitoring in smart homes is presented and demonstrated. In recent years, we have witnessed a rapid surge in assisted living technologies. Internet of Things is a platform where every day devices become smarter, every day processing becomes intelligent, and every day communication becomes informative. Our implementation is based on four layers IoT architecture. The user interface provides an option for manual adjustment of the image alignment from infrared and visible cameras. Apart from manual procedure, a procedure for the automatic alignment of the images of the both cameras have been developed. The time necessary for the image data processing by the microcontroller which gathers data from the sensors or by the gateway device is estimated.

References

    Issue

    Proc. XXIX International Scientific Conference Electronics - ET2020, pp. 4, 2020, Bulgaria, IEEE, ISBN 978-1-7281-7426-6

    Full text of the publication

    Цитирания (Citation/s):
    1. Chaari, M.Z., Aljaberi, A., A Prototype of a Robot Capable of Tracking Anyone with a High Body Temperature in Crowded Areas, International journal of online and biomedical engineering 17(11), pp. 103-123 - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Piao, X. 57469436800; Comparative analysis of the mental health status IoT assisted monitoring of the elderly under the background of big data (2021) Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 463-466. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125375338&doi=10.1109%2fICECA52323.2021.9676107&partnerID=40&md5=159e355502121aff41a28cea92d8fc08, DOI: 10.1109/ICECA52323.2021.9676107 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus