• Version
• Download 11
• File Size 547.33 KB
• File Count 1
• Create Date 11 June 2025
• Last Updated 11 June 2025

UNAUTHORIZED ACCESS DETECTION SYSTEM

Authors:

Nikita V. Zurange , Sameer  S. Kakade

Nikita V. Zurange MCA & Trinity Academy of Engineering, Pune

Sameer S. Kakade MCA & Trinity Academy of Engineering, Pune

ABSTRACT- In an era where personal and organizational data security is paramount, traditional authentication mechanisms such as username and password are no longer sufficient to prevent unauthorized access. This project presents a Flask-based real-time facial recognition system integrated with OTP (One-Time Password) verification and email alert mechanisms to enhance device security. The system uses the face recognition library to compare the user’s face with a pre-stored authorized image via webcam. If the face is recognized, the system sends a randomly generated. OTP to the user’s registered email for secondary verification. Only after successful OTP verification can the user proceed to login using their credentials, which are validated against a MySQL database.

Key Words:  data security, authentication, facial recognition, flask framework, otp verification, email alert.