README.md

Smart-Attendance-system-using-face-recognition

Code Requirements

• Opencv(pip install opencv-python)
• Tkinter(Available in python)
• PIL (pip install Pillow)
• Pandas(pip install pandas)

What steps you have to follow??

• Download my Repository
• Create a TrainingImage folder in a project.
• Open a AMS_Run.py and change the all paths with your system path
• Run AMS_Run.py.

Project Structure

• After run you need to give your face data to system so enter your ID and name in box than click on Take Images button.
• It will collect 70 images of your faces, it save a images in TrainingImage folder
• After that we need to train a model(for train a model click on Train Image button.
• It will take 5-10 minutes for training(for 10 person data).
• After training click on Automatic Attendance ,it can fill attendace by your face using our trained model (model will save in TrainingImageLabel )
• it will create .csv file of attendance according to time & subject.
• You can store data in database (install wampserver),change the DB name according to your in AMS_Run.py.

Notes

• It will require high processing power
• Noisy image can reduce your accuracy so quality of images matter.