Face Recognition using Flask

Authors

  • G Srilakshmi Associate Professor: Department of Electronics and Communication Engineering, Bhoj Reddy Engineering College for Women Hyderabad, India Author
  • Biyyala Keerthi, Siliveru Meghana, Siripangi Dharani B. Tech Students: Department of Electronics and Communication Engineering, Bhoj Reddy Engineering College for Women Hyderabad, India Author

DOI:

https://doi.org/10.63665/f9t8x551

Keywords:

Face Recognition, Biometric Authentication, Artificial Intelligence (AI), Machine Learning (ML), OpenCV, Flask, Face Encoding, Computer Vision, Secure Login System, Web Application

Abstract

Facio Secure is a Face Recognition-Based Login System designed to provide secure and password-free authentication 
using biometric technology. Traditional login systems rely on usernames and passwords, which are vulnerable to 
hacking, phishing, and brute-force attacks. To overcome these limitations, this project implements facial recognition 
as an alternative authentication method. 
The system is developed using Python, Flask, OpenCV, and the face recognition library. It captures the user’s face 
through a webcam, detects facial features, and generates a 128-dimensional face encoding. This encoding is then 
compared with stored face data in a database to verify the user’s identity. If a match is found within a predefined 
threshold, login access is granted; otherwise, access is denied or the user can register as a new user. 
The application integrates Artificial Intelligence, Machine Learning, and Web Development technologies to create a 
secure and user-friendly authentication system. The proposed system demonstrates real-time face detection and 
recognition with improved security compared to traditional password-based systems. 
This project highlights the practical implementation of biometric authentication and its potential to enhance digital 
security systems in modern applications. 

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Published

2026-07-20

Issue

Section

Articles

How to Cite

Face Recognition using Flask. (2026). International Journal of Multidisciplinary Engineering In Current Research, 11(7), 79-85. https://doi.org/10.63665/f9t8x551