Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Facial Recognition Reinvented: Deep Learning Based Security Alert System

Authors
T. Sridhar Reddy1, *, B. Sujatha1, V. G. V. Prasanna Kumar1, P. Srihari1, M. Devi Harshitha1, B. Murali Manohar1
1Computer Science & Engineering, Godavari Institute of Engineering & Technology(A), Rajamahendravaram, A.P, India
*Corresponding author. Email: reddysridhar27@giet.ac.in
Corresponding Author
T. Sridhar Reddy
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_117How to use a DOI?
Keywords
CNN; Harr Cascade; LBP; Alert; Authorization
Abstract

The study focuses on unauthorized access, which signifies attack into a device or residence without the owner's consent. This research aims to address access issues through the enhancement of established devices. In the existing system, a combination of Convolutional Neural Network (CNN) was utilized, resulting in reduced efficiency and increased complexity. To improve this, the proposed system incorporates Harr Cascade and Local Binary Pattern (LBP) algorithms alongside CNN to boost efficiency and streamline complexity. The system takes a person's facial recognition through a camera as input, generating two outcomes. Type 1 indicates unauthorized access, triggering alarm notifications and sending an email alert to the owner. Type 2 signifies authorized access, displaying an authorized message alert without any further action. The model's primary objective is to identify unauthorized individuals and send alerts when an unknown person attempts to enter the premises.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_117How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - T. Sridhar Reddy
AU  - B. Sujatha
AU  - V. G. V. Prasanna Kumar
AU  - P. Srihari
AU  - M. Devi Harshitha
AU  - B. Murali Manohar
PY  - 2024
DA  - 2024/07/30
TI  - Facial Recognition Reinvented: Deep Learning Based Security Alert System
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1219
EP  - 1227
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_117
DO  - 10.2991/978-94-6463-471-6_117
ID  - Reddy2024
ER  -