Abstract

In our day to day lives, security is of utmost concern. Everyone wants to be as secured as possible. This paper develops an Internet of Things (loT)-based smart security system and supports the concept of a 'TOT close to life and easy to use". One of the many useful applications of loT is home security; among other things, we're leveraging it to build affordable home security systems. The loT is a network of physically connected objects that can exchange data and communicate with one another without the need for human intervention. The simplicity of setup, low cost, and minimal maintenance are some of this system's key benefits. This system is executed with the help of Raspberry Pi 3B. Face recognition system used determines if the individual is lively enough to receive authorization. If an unauthorized access is detected then the buzzer will be triggered and an alert notification will be sent on an app which is designed for the owner which will also include a photo detected by the camera and with an option to reset the buzzer. This system comprises of dual authentication that is Radio Frequency Identification (RFID) key and a face recognition system. This approach is able to protect the homes from intrusions by continuous detection of the suspicious actions using soft computing, that is, Convolutional Neural Network (CNN) algorithm for face recognition.

Details

Title
Development of IOT-based Smart Anti – Theft Latch
Author
Agarwal, Shivangi 1 ; Mistry, Yogita 1 ; Bhosale, Savita 1 ; Sagare, Atharva 1 ; Patil, Nilam 1 

 Ramrao Adik Institute of Technology, D.Y. Patil Deemed to be University, Nerul, Navi Mumbai-400706, India 
Pages
2550-2559
Publication year
2024
Publication date
2024
Publisher
Engineering and Scientific Research Groups
e-ISSN
11125209
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3074172827
Copyright
© 2024. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the“License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.