Society Security System Using Face Recognition Technique and Machine Learning

Prof. Satish AsaneDepartment of Electronics and Telecommunications, Sinhgad Institute of Technology, Lonavala, Maharashtra, IndiaMukesh NilwarnDepartment of Electronics and Telecommunications, Sinhgad Institute of Technology, Lonavala, Maharashtra, IndiaAthrav PotdarDepartment of Electronics and Telecommunications, Sinhgad Institute of Technology, Lonavala, Maharashtra, IndiaAbhishek WaghDepartment of Electronics and Telecommunications, Sinhgad Institute of Technology, Lonavala, Maharashtra, India

Vol 8 No 11 (2024): Volume 8, Issue 11, November 2024 | Pages: 49-53

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-11-2024

doi Logo doi.org/10.47001/IRJIET/2024.811006

Abstract

The proposed security system offers a significant improvement over traditional security methods, providing a more reliable, efficient, and convenient solution for societies. By combining face recognition technology and machine learning, the system can effectively enhance the safety and well-being of residents. This paper proposes a comprehensive security system for societies, leveraging the power of face recognition technology and machine learning algorithms. The system aims to enhance the safety and security of residents by accurately identifying individuals and granting access only to authorized persons.

Keywords

Society Security System, Face Recognition, Machine Learning, Artificial Intelligence, AI


Citation of this Article

Prof. Satish Asane, Mukesh Nilwarn, Athrav Potdar, & Abhishek Wagh. (2024). Society Security System Using Face Recognition Technique and Machine Learning. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(11), 49-53. Article DOI https://doi.org/10.47001/IRJIET/2024.811006

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