Flask Face Recognition Attendance System — Track E
W A Flask-based web app that uses real-time face recognition via a webcam to mark attendance with both Entry and Exit times. Attendance records are stored in an SQLite database, and the web interface streams the live video feed, allowing users to confirm recognized faces and mark attendance instantly.
Project Summery
A Flask-based web application that uses face recognition to mark attendance with Entry and Exit times.
Features
- Real-time face recognition using webcam
- Attendance marking with Entry and Exit times
- Store attendance records in SQLite database
- Video feed streaming on web interface
- User interface to select recognized person and mark Entry or Exit
Requirements
- Python 3.7+
- Flask
- Flask-SQLAlchemy
- OpenCV (
opencv-python) - face_recognition
- dlib (required by face_recognition, installation may vary by OS)
Installation
1. Clone the repository:
git clone https://github.com/sujit-codezen/face_attendance_system.git cd face-recognition-attendance
2. Create and activate a virtual environment (optional but recommended):
python -m venv venv # On Windows venv\Scripts\activate # On Unix or MacOS source venv/bin/activate
3. Install dependencies:
pip install -r requirements.txt
4. Run the application:
python main.py
Output
