Internet of Things Technology  of Imagine Processing for Smart House

Abstract

The article considers the image processing, detection of human faces and the transfer of relevant information in MATLAB software. During the rapid global process of industrialization and globalization, elements of smart homes for personal use are becoming popular in production and offices. Life and personal information security is the most important requirement and task of current and future Internet of Things solutions. Therefore, the system of recognizing objects, including people, is relevant and still one that can be qualitatively improved.  The processing begins with a state file, which can be replaced by real-time systems, after receiving information from video — is selected in groups of points, which are the corresponding arrays of information. Arrays contains numbers which indicate whether a human face in front of the camera. The data is calibrated to avoid false detection with median distribu tion. As a result of involving graphic additions, the user can observe in real time where and how many faces are in front of the camera. MATLAB was chosen as the programming environment, because the program includes built-in blocks that allow you to easily combine the mathematical and applied part of the proposed solution. As a result of modeling a complex model was obtained that is able to process the image and determine the necessary elements and objects in the image. This model can be used to track changes in position in space, any, object or objects depending on their size or physical characteristics. A feature of the proposed method is the ability to calibrate and optimize the mathematical model depending on the physical parameters of the system and the required information at the output of the system. 

Keywords

References

1. R., Manoj & Biradar, Rekha & R., Raju & A., Sharad. "Smart Home Security System using Iot, Face Recognition and Raspberry Pi". International Journal of Computer Applications. 176. 45-47, 2020. DOI: 10.5120/ijca2020920105.
2. Morales, Roberto & Martı´nez, T. & Cuello, L.. “Digital image processing via an expert system” in AIP Conference Proceedings, Merida, Yucatan (Mexico), 2000, pp. 184–191 DOI: 10.1063/1.1328956.
3. Kamuju Naga Nandini, Dr Prakash Bethapudi, Nemani Sai Pallavi, Addepalli Geetha Sri, Teki Sai Srujana. “Interactive assistant using face recognition”, IJPUBLICATION, vol. 8, no. 5, pp. 1123-1128, May 2020. DOI: 10.6084/m9.doi.one.IJCRT2005152
4. Said, Ebrahem & Nasr, Mona. “Face Recognition System”, International Journal of Advanced Networking and Applications, vol. 12, no. 02, pp. 4567–4574, Jan. 2020. DOI: 10.35444/IJANA.2020.12205.
5. Peterherya YU. S., Zhuykov V. YA. “Pryntsypy pobudovy intelektualʹnykh system keruvannya peretvoryuvachiv u lokalʹnykh obʺyektakh” in Ekotekhnolohiyi i resursozberezhennya. Enerhoefektyvnistʹ ta okhorona navkolyshnʹoho seredovyshcha. Kyiv, 2001.
6. Roslyakov A. V., Vanyashyn S. V., Hrebyeshkov A. YU., Samsonov M. YU. «Internet rechey» pid red. A. V. Roslyakova. Samara: PHUTI, TOV «Vydavnytstvo As Hard», 2014. 340 p.
7. A. Legrand, L. Marchal, H. Casanova “Scheduling distributed applications: the SimGrid simulation framework” in CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings. Tokyo, Japan, 2003. DOI: 10.1109/CCGRID.2003.1199362
8. Hepko I. A., Oliynyk V. F., Chayka YU. D., Bondarenko A. V. «Suchasni bezdrotovi merezhi: stan i perspektyvy rozvytku» Kyiv: EKMO, 2009. 672 p.
9. Samuel Greengard “The Internet of Things”. The MIT Press Essential Knowledge series, 2016. ISBN: 9780262527736
10. “Smart Homes”, in Artificial Intelligence: A National Strategic Initiative, Singapore: Springer Singapore, 2020, pp. 93–101. DOI: 10.1007/978-981-15-6548-9_9.

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Copyright (c) 2026 Валерія Миколаївна Охмак, Артем В. Крилов (Автор)