SOURCERER
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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 Training Image folder in a project.
- Open a index.py and change the all paths with your system path
- Run index.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 200 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.
- Manually Fill Attendace Button in UI is for fill a manually attendance (without facce recognition),it’s also create a .csv and store in a database.
SCREENSCHOTS
BASIC UI
HOME PAGE
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WHEN IT’S RECOGNISE ME
TAKE IMAGE
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TRAINING IMAGE
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MANNUAL ATTENDANCE FILLIING IT
FILL ATTENDANCE
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MANUAL ATTENDANCE
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ADMIN VISIT
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DATABASE DESIGN
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NOTES
It will requires high processing power(I have 8 GB RAM & 2GB GC)
If you think it will recognise person just like humans, than leave it, its not possible.
Noist image can reduce your accuracy so quality of image matter,