- Download or clone my Repository to your device
- type
pip install -r requirements.txt
in command prompt(this will install required package for project) - Create a
TrainingImage
folder in a project folder. - open
attendance.py
andautomaticAttendance.py
, change all the path accoriding to your system - Run
attandance.py
file
- After you run the project you have to register your face so that system can identify you, so click on register new student
- After you click a small window will pop up in that you have to enter you ID and name and then click on
Take Image
button - After clicking
Take Image
button A camera window will pop up and it will detect your Face and take upto 50 Images(you can change the number of Image it can take) and stored in the folder namedTrainingImage
. more you give the image to system, the better it will perform while recognising the face. - Then you have to click on
Train Image
button, It will train the model and convert all the Image into numeric format so that computer can understand. we are training the image so that next time when we will show the same face to the computer it will easily identify the face. - It will take some time(depends on you system).
- After training model click on
Automatic Attendance
,you have to enter the subject name and then it can fill attendace by your face using our trained model. - it will create
.csv
file for every subject you enter and seperate every.csv
file accoriding the subject - You can view the attendance after clicking
View Attendance
button. It will show record in tabular format. - check sheets in each window is a auto-generated csv file of respective data in respective path(you can see the csv file right away).
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Home - AMS
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Student Enrollment - AMS
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Face Capture - AMS
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Saving Face Data - AMS
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Face Data Training - AMS
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Subject Attendance Filling - AMS
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Subjecct Attendance Filling_sample - AMS
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Subject Attendance Filling_face-recognize - AMS
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Subject Attendance Filling_success - AMS
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Attendance Report Portal - AMS
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Attendance Report Portal_sample - AMS
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Attendance Report - AMS
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Screenshots folder link: