Get to know the projects under the system and application category 🖥️
Get to know the projects under the system and application category 🖥️
📌 Project Abstract
Face Recognition College Attendance System
This project involves the implementation of face recognition technology into a college attendance system to enhance efficiency of taking attendance, improve the integrity of attendance data collected and avoid the happening of proxy attendance. Manual attendance entry is time-consuming, error-prone, and often misused by students, which negatively affects the integrity of the attendance data. By utilizing facial recognition technology, this project seeks to enhance the attendance-taking process, promising significant advantages in accuracy, time efficiency, and overall attendance management. The target audience for this project includes administrators, coordinators, lecturers, and students.
💻 Project Overview
To implement a robust identity verification system which incorporates facial recognition mechanisms into the system to prevent proxy attendance. This ensures that only students who have attended can mark themselves as present, upholding the integrity of attendance data
The users have personalized charts and graphs displaying their attendance status, providing real-time information
The implementation of face recognition technology in the attendance system is a key strength, as it automates the attendance process while maintaining the quality and integrity of the data.
🔭 Project Requirements
Device: Apple MacBook Air 2020
Chipset: M1
RAM: 8 GB
Storage: 256 GB
Visual Studio Code (VS Code)
DB Browser for SQLlite
Adobe Illustrator
Microsoft Office
Git
📽️ Demonstration Video
Click the video above to watch a short demonstration of how the project works. 📽️
Student Profile
Project Title: Face Recognition College Attendance System
Student Name: Khor Ze Yi
Programme: BSc (Hons) Multimedia Computing (BMC)
Supervisor Name: Reevan Seelen Jagamogan
Category: System and Application
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