This project is ideal for companies with many employees. It uses Python's face_recognition and OpenCV to detect faces via a webcam, match them with a stored dataset, and automatically log attendance.

• Face Recognition: Identifies and matches faces against a known dataset.
• Attendance Logging: Records attendance with a timestamp.
• Easy Dataset Management: Add new individuals on the fly.

1. Load Dataset: Images in the dataset folder are used for recognition.
2. Real-Time Recognition: Detects and recognizes faces in live video.
3. Mark Attendance: Logs recognized faces with the current time in Attendance.csv.

• dataset/: Holds images for recognition.
• Attendance.csv: Stores attendance records.

1. Clone the repository:

   git clone https://github.com/DmitroKDS/FaceId.git

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   python FaceId.py

• Python 3.x
• face_recognition
• OpenCV
• Numpy

• Registration

• Detection