Abstract
This article presents the use of the remote computing resources for the face recognition process as a part of a “smart” home security system. Such approach allows us to optimize the load of the computation resources and to reduce the price of security system by using non-powerful hardware and to run high load face recognition calculations on the remote server of the service provider. Article describes different cases of face recognition usage, combined with the manual user interactions for better reliability of the security system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lombardi, R., Dumay, J., Trequattrini, R., Lardo, A.: Modern trends for the strategic use of Intellectual Property rights: dynamic IP portfolio management, open innovation and collaborative organizations. In: Lombardi, R., Dumay, J., Trequattrini, R., Lardo, A. (eds.) Managing Globalisation: New Business Models, Strategies, and Innovation, pp. 114–137 (2016)
Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the 1st Edition of the MCC Workshop on Mobile Cloud Computing, Helsinki, Finland, 13–17 August 2012, pp. 13–16
Collins, T., Crosson, J., Peikes, D., McNellis, R.: Using Health Information Technology to Support Quality Improvement in Primary Care, 19 p. AHRQ Publication, Princeton (2015). (15-0031-EF)
Berezsky, O., Melnyk, G., Datsko, T., Verbovy, S.: An intelligent system for cytological and histological image analysis. In: Proceedings of the 13th International Conference on Experience of Designing and Application of CAD Systems in Microelectronics, CADSM 2015, Polyana-Svalyava (Zakarpattya), Ukraine, 24–27 February 2015, pp. 28–31 (2015)
Lobaccaro, G., Carlucci, S., Löfström, E.: A review of systems and technologies for smart homes and smart grids. Energies 9, 348–381 (2016)
Khizhnaya, A.V., Kutepov, M.M., Gladkova, M.N., Gladkov, A.V., Dvornikova, E.I.: Information technologies in the system of military engineer training of cadets. Int. J. Environ. Sci. Educ. 13, 6238–6245 (2016)
Isa, E., Sklavos, N.: Smart home automation: GSM security system design & implementation. J. Eng. Sci. Technol. Rev. JESTR. 10(3), 170–174 (2017). (1791–2377)
Sahani, M., Subudhi, S., Mohanty, M.: Design of face recognition based embedded home security system. KSII Trans. Internet Inf. Syst. TIIS 10(4), 1751–1767 (2016). (1976–7277)
Teslyuk, V., Beregovskyi, V., Denysyuk, P., Teslyuk, T., Lozynskyi, A.: Development and implementation of the technical accident prevention subsystem for the smart home system. Int. J. Intell. Syst. Appl. (IJISA) 10(1), 1–8 (2018). https://doi.org/10.5815/ijisa.2018.01.01
Peleshko, D., Ivanov, Y., Sharov, B., Izonin, I., Borzov, Y.: Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes. In: IEEE First International Conference on Data Stream Mining & Processing (DSMP), Lviv, pp. 159–162 (2016). https://doi.org/10.1109/dsmp.2016.7583531
Kazarian, A., Teslyuk, V., Tsmots, I., Mashevska, M.: Units and structure of automated smart house system using machine learning algotithms. In: Proceeding of the 14th International Conference on the Experience of Designing and Application of Cad Systems in Microelectronics, CADSM 2017, Polyana, Lviv, Ukraine, 21–25 February 2017, pp. 364–366 (2017)
Choy, S., Wong, B., Simon, G., Rosenberg, C.: A hybrid edge-cloud architecture for reducing on-demand gaming latency. Multimed. Syst. 20, 503–519 (2014)
Vujović, V., Maksimović, M.: Raspberry pi as a wireless sensor node: performances and constraints. In: Proceedings of the 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia, 26–30 May 2014, pp. 1013–1018
Hajji, W., Tso, F.P.: Understanding the performance of low power Raspberry Pi Cloud for big data. Electronics 5(2), 29 (2016)
Tso, F., White, D., Jouet, S., Singer, J., Pezaros, D.: The glasgow raspberry pi cloud: a scale model for cloud computing infrastructures. In: Proceedings of the 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops (ICDCSW), Philadelphia, PA, USA, 8–11 July 2013, pp. 108–112
Johanan, J.: Building Scalable Apps with Redis and Node.js, vol. 1, 297 p. Packt Publishing Ltd., Birmingham (2014). ISBN 978-1-78398-448-0
Viraktamath, S.V., Katti, M., Khatawkar, A., Kulkarni, P.: Face detection and tracking using OpenCV. SIJ Trans. Comput. Netw. Commun. Eng. (CNCE) 1(3), 45–50 (2013)
Shah, H., Soomro, T.: Node.js challenges in implementation. Glob. J. Comput. Sci. Technol. E Netw. Web Secur., 0975–4350 (2017)
Attaullah, M., Dhere, S., Hipparagi, S.: Real time face detection and tracking using OpenCV. Int. J. Res. Emerg. Sci. Technol., 39–43 (2017)
Pinto, N., DiCarlo, J., Cox, D.: How far can you get with a modern face recognition test set using only simple features? In: IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, pp. 2591–2568
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Artem, K., Teslyuk, V., Tsmots, I., Myroslav, T. (2019). Implementation of the Face Recognition Module for the “Smart” Home Using Remote Server. In: Shakhovska, N., Medykovskyy, M. (eds) Advances in Intelligent Systems and Computing III. CSIT 2018. Advances in Intelligent Systems and Computing, vol 871. Springer, Cham. https://doi.org/10.1007/978-3-030-01069-0_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-01069-0_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01068-3
Online ISBN: 978-3-030-01069-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)