Face recognition is a biometric method of identifying an individual by comparing live capture with the stored record for that person. Face is the crucial part of the human body that uniquely identifies a person. Using the face characteristics as biometric, the face recognition system can be implemented. The most demanding task in any organization is attendance marking. Facial recognition-based attendance systems is the process of recognizing a student's face during attendance using facial biometrics based on high-resolution monitor video and other information technologies. This facial recognition project allows computer systems to quickly and accurately detect and recognize human faces in images captured by webcams / surveillance cameras. Faces are detected using the face recognition algorithm. The processed image is then compared to an existing record and its presence is marked accordingly in the database.

• OpenCV
• Numpy
• Pandas
• Face_Recognition
• datetime

1. First download or clone the project
2. Import the project to your favourit IDE
3. Create an python enviroment
4. Install all the packages
5. Run the project using the command line or your IDE Run Button