Face Entry Pro
AI-Powered Biometric Attendance & Campus Security System.
Academic Project
Ongoing
Project Visuals & Screenshots

Role / Contribution
Team Leader & System Analyst
Timeline / Release
May 12, 2026
Course / Context
System Analysis & Design Capstone Project
Category
Academic Project
Overview & Architecture
FaceEntryPro is an AI-powered biometric attendance and campus intelligence system developed to modernize attendance management and enhance campus security. The system uses facial recognition technology to automatically identify students and record attendance without manual intervention. To ensure accuracy and prevent fraudulent attendance, it incorporates advanced features such as face enrollment, liveness detection, and anti-spoofing verification. Beyond attendance management, the system offers attendance history, report generation, real-time notifications, smart video search, incident detection, and security monitoring.
It is designed to support multiple user roles, including students, faculty members, parents, security officers, and administrators, providing each with role-based access and functionalities. By combining AI, computer vision, and intelligent surveillance, FaceEntryPro aims to create a faster, more secure, and efficient smart campus environment.
Key Features & Capabilities
- Face enrollment
- Liveness detection
- Anti-spoofing verification
- Attendance history
- Report generation
- Real-time notifications
- Smart video search
- Incident detection
- Security monitoring
- Role-based access for students, faculty, parents, security officers, and administrators
Technologies & Tools
AI Camera / CCTV CameraRaspberry Pi 4TensorFlow LiteCanvaFigmaDraw IOLucid ChartGitHub
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