Attendance Using Face Recognition is a computer vision–based system that automates attendance tracking using facial recognition.
The system identifies registered faces and records attendance accurately, reducing manual effort and errors.
- Face detection and recognition using computer vision
- Automated attendance marking
- Organized student and attendance records
- Easy-to-use Python implementation
- Scalable for classrooms and institutions
- Python
- OpenCV
- Face Recognition / Machine Learning
- NumPy
- Computer Vision
│── Attendance
│── StudentDetails
│── TrainingImageLabel.zip
│── main_Run.py
│── requirements.txt
│── Projct_report.pdf
- Student face images are collected and stored
- Facial features are extracted using OpenCV
- The system matches faces with stored data
- Attendance is automatically recorded
pip install -r requirements.txt
python main_Run.py~Classroom attendance automation
~College and university management
~Corporate training sessions
~Secure identity-based attendance systems
-Real-time camera-based recognition
-Cloud-based attendance storage
-Mobile and web application integration
-Improved accuracy with deep learning models