SECURE FACE ACCESS CONTROL SYSTEM

Abstract

The Smart Cloud File Storage with Face Recognition Security system is developed to ensure
secure and user-specific access to digital files through advanced biometric authentication. In the current
digital landscape, where data privacy and cybersecurity are of utmost importance, traditional password-based
systems often prove insufficient in providing strong protection. This project introduces an intelligent solution
that integrates real-time facial recognition into the file access process, ensuring that only authorized users can
store or retrieve data. The system employs computer vision techniques using OpenCV along with the
face_recognition Python library to capture and verify facial features during user registration and login. A
web-based interface built with Flask enables functionalities such as user registration, face-based
authentication, and secure file upload and download. The architecture is designed to be deployable on both
local systems and cloud platforms such as AWS or Firebase, allowing scalability based on user requirements.
By replacing conventional password mechanisms with biometric verification, the system significantly
reduces the risk of unauthorized access and enhances overall data security. This solution is particularly useful
in academic, personal, and organizational environments where secure and personalized file access is
essential.