IoT Based Smart Intruder Detection System For Smart Homes

Authors

  • K. Vijayaprabakaran  CSE, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India
  • Priyanka Kodidela  CSE, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India
  • Parinitha Gurram  CSE, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India

DOI:

https://doi.org/10.32628/IJSRST218410

Keywords:

Intruder Detection, Node MCU, IoT, Blynk

Abstract

The intruder detection system is targeted for the private areas, restricted areas and for the domestic home applications to notify the entrance of the intruder or any person to the specified areas. The intruder detection system eliminates the theft and entrance of the persons to the restricted areas by notifying the owner or the gardener through the registered application when the system detects an intruder in the locality. In this work an IoT based intruder detection system named Smart-IDS is proposed to avoid the entrance of the person without any special workforce for the target location. The proposed Smart-IDS detects the intruder using the Node MCU and Ultrasonic sensor and the cloud based Blynk application is employed to send the alert notification to the user. The experiments with the proposed Smart-IDS has performed more efficiently.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-08-30

Issue

Volume 8, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K. Vijayaprabakaran, Priyanka Kodidela, Parinitha Gurram "IoT Based Smart Intruder Detection System For Smart Homes" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 4, pp.48-53, July-August-2021. Available at doi : https://doi.org/10.32628/IJSRST218410