Implementation of Home Security System Using Deep Learning Process for Security Applications

Authors

  • Sai Manoj Petluri
  • G.Sai Charan
  • M.V.P.B Srinivas
  • Y.Vignan Kumar
  • G.Sharavan Kumar

DOI:

https://doi.org/10.29027/IJIRASE.v3.i10.2020.544-547

Keywords:

Security system for Home Applications, Access toDoorlock, Facial Detection andRecognition, Securityalert Message

Abstract

Security has always been an important criteria in regarding home security applications.This project is developed to prevent the entry of unauthorized persons into our home by using facial recognition. The project objective is to monitor and track whether the person is authorized or not. This security system detects the person’s face who is at the door, recognizes whether he is authorized or not. If the person is authorized then he gets the access, else the alert message is sent to the house owner. This project is implemented using LabVIEW, Vision builder AI software and myRio. This system is more effective and reliable in terms of code complexity and is user friendly while training the authorized persons.

Author Biographies

Sai Manoj Petluri

B.Tech Students,Electronics and Communication Engineering, MLR Institute of Technology Hyderabad, Telangana, India.

G.Sai Charan

B.Tech Students,Electronics and Communication Engineering, MLR Institute of Technology Hyderabad, Telangana, India.

M.V.P.B Srinivas

B.Tech Students,Electronics and Communication Engineering, MLR Institute of Technology Hyderabad, Telangana, India

Y.Vignan Kumar

B.Tech Students,Electronics and Communication Engineering, MLR Institute of Technology Hyderabad, Telangana, India.

G.Sharavan Kumar

Associate Professor, Electronics and Communication Engineering, MLR Institute of Technology Hyderabad, Telangana, India

Additional Files

Published

15-04-2020