Internet of Things(IoT) Based Home Security Using Raspberry Pi

Authors(2) :-C. Navyatha, K. Sankara

A smart home application highlights extraordinary help to our everyday life. This framework revives offices of a house to advance into a brilliant home by including greater security highlights. The change in security perspective offers inventive and beneficial degree to the methods for living. Every one of these qualities is adjusted by utilizing Internet of Things (IoT) and Raspberry Pi. The acknowledgment issue is constantly flawed in smart home applications. Along these lines, recuperation is done to recognize the gate crasher as known or obscure by the utilization of picture preparing methods for confront acknowledgment. This has a tendency to fathom numerous issues regarding verification. This insurance instrument advises the client likewise, giving a reasonable photo of the situation occurring at the client's home. The sensor based framework features numerous highlights enabling it to be broadly utilized. Fire sensor identifies any temperature increment in the front room and posts its status in the URL given to the client. The gas sensor helps in distinguishing the nearness of any gas spillage in view of the power of the gas in air. With the assistance of DC engine, auto entryway locking component is impelled. This is extremely helpful. All the statuses are handled between the sensors and the client through IoT. Raspberry Pi interfaces every one of the segments and delivers the correct working of the entire bundle. The systems that are utilized here are exceptionally straightforward. Henceforth, even beginner clients could comprehend the framework's propelled highlights and utilize it easily. The utilization of observation camera additionally helps in recognizing the nearness of fire and along these lines a signal is initiated on account of flame recognition.

Authors and Affiliations

C. Navyatha
MCA Student, Department of MCA, Sree Vidyanikethan Institute of Management, Tirupati, Andhra Pradesh, India
K. Sankara
Assistant Professor,Department of MCA, Sree Vidyanikethan Institute of Management, Tirupati, Andhra Pradesh, India

Home Automation, fire detection, Internet of Things (IOT), Raspberry PI, intruder, image processing and face recognition.

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Publication Details

Published in : Volume 4 | Issue 5 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 520-524
Manuscript Number : IJSRST1845153
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

C. Navyatha, K. Sankara, " Internet of Things(IoT) Based Home Security Using Raspberry Pi ", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 5, pp.520-524, March-April-2018.
Journal URL : https://ijsrst.com/IJSRST1845153
Citation Detection and Elimination     |      | |
  • Han, Jinsoo, et al. "User-friendly home automation based on 3D virtual world."Consumer Electronics, IEEE Transactions on 56.3 (2010): 1843-1847.
  • Xu, Lingshan, et al. "A Cloud-based monitoring framework for Smart Home."Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on. IEEE, 2012.
  • Bajorek, Marcin, and Jedrzej Nowak. "The role of a mobile device in a home monitoring healthcare system." Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on. IEEE, 2011.
  • uweiJian, Kin-Man Lam, “Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition”, 2015, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 11, pp. 1761 - 1772.
  • P.Viola and M J Jones, ” Robust real-time face detection”,Int. J. Comput. Vis., vol. 57, no. 2, pp. 137-154, 2004.
  • Acker, Robin, and Michael Massoth. "Secure ubiquitous house and facility control solution." Internet and Web Applications and Services (ICIW), 2010 Fifth International Conference on. IEEE, 2010.
  • Tupakula, Udaya, Vijay Varadharajan, and Sunil Kumar Vuppala. "Security Techniques for Beyond 3G Wireless Mobile Networks." Embedded and Ubiquitous Computing (EUC), 2011 IFIP 9th International Conference on. IEEE, 2011.
  • Ayman Ben Thabet, Nidhal Ben Amor, “Enhanced Smart Doorbell System Based On Face Recognition”, in Proc. 16th IEEE International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), pp. 373 - 377, 2015.
  • " target="_blank"> BibTeX
    |
  • Han, Jinsoo, et al. "User-friendly home automation based on 3D virtual world."Consumer Electronics, IEEE Transactions on 56.3 (2010): 1843-1847.
  • Xu, Lingshan, et al. "A Cloud-based monitoring framework for Smart Home."Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on. IEEE, 2012.
  • Bajorek, Marcin, and Jedrzej Nowak. "The role of a mobile device in a home monitoring healthcare system." Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on. IEEE, 2011.
  • uweiJian, Kin-Man Lam, “Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition”, 2015, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 11, pp. 1761 - 1772.
  • P.Viola and M J Jones, ” Robust real-time face detection”,Int. J. Comput. Vis., vol. 57, no. 2, pp. 137-154, 2004.
  • Acker, Robin, and Michael Massoth. "Secure ubiquitous house and facility control solution." Internet and Web Applications and Services (ICIW), 2010 Fifth International Conference on. IEEE, 2010.
  • Tupakula, Udaya, Vijay Varadharajan, and Sunil Kumar Vuppala. "Security Techniques for Beyond 3G Wireless Mobile Networks." Embedded and Ubiquitous Computing (EUC), 2011 IFIP 9th International Conference on. IEEE, 2011.
  • Ayman Ben Thabet, Nidhal Ben Amor, “Enhanced Smart Doorbell System Based On Face Recognition”, in Proc. 16th IEEE International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), pp. 373 - 377, 2015.
  • " target="_blank">RIS
    |
  • Han, Jinsoo, et al. "User-friendly home automation based on 3D virtual world."Consumer Electronics, IEEE Transactions on 56.3 (2010): 1843-1847.
  • Xu, Lingshan, et al. "A Cloud-based monitoring framework for Smart Home."Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on. IEEE, 2012.
  • Bajorek, Marcin, and Jedrzej Nowak. "The role of a mobile device in a home monitoring healthcare system." Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on. IEEE, 2011.
  • uweiJian, Kin-Man Lam, “Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition”, 2015, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 11, pp. 1761 - 1772.
  • P.Viola and M J Jones, ” Robust real-time face detection”,Int. J. Comput. Vis., vol. 57, no. 2, pp. 137-154, 2004.
  • Acker, Robin, and Michael Massoth. "Secure ubiquitous house and facility control solution." Internet and Web Applications and Services (ICIW), 2010 Fifth International Conference on. IEEE, 2010.
  • Tupakula, Udaya, Vijay Varadharajan, and Sunil Kumar Vuppala. "Security Techniques for Beyond 3G Wireless Mobile Networks." Embedded and Ubiquitous Computing (EUC), 2011 IFIP 9th International Conference on. IEEE, 2011.
  • Ayman Ben Thabet, Nidhal Ben Amor, “Enhanced Smart Doorbell System Based On Face Recognition”, in Proc. 16th IEEE International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), pp. 373 - 377, 2015.
  • " target="_blank">CSV

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