I have observed that taking attendance using pen and paper is very time consuming. So tracking attendance manually using face recognition could be the easiest way without any human labour. That's why I made this project.
What it does
My project is about tracking attendance of the students manually using face recognition.
In my project, via face recognition technology, the face in front of the camera will be identified and matched with the database and if a match is found then under the detected face, the name of the person will be shown and the attendance will be stored in an Excel file with the name of that person and also the date and timing of the appearance of that person in front of the camera.
There are some amazing extra features like -Emotion Detection , Gender Detection. On detecting the face, it will also give the Gender of a person and also it will do Emotion Detection like if that person is happy , sad, angry, neutral.
Challenges you ran into
Challenges - Training the model for accurate face recognition. Also Deploying the project into a website.
Team Name
Hackrux
Team members
Member # 1 Name: Anushka Biswas Email: anushkabiswas03@gmail.com Twitter handle (hyperlinked):
Member # 2 Name: Kabir Sk Twitter handle (hyperlinked):
Member # 3 Name: Twitter handle (hyperlinked):
Project Name
Attendance Tracker using face recognition
Contact Details (Leader)
8617776551
Project Track
Education
Link to project GitHub public repo
https://github.com/AnushkaBiswas/Attendance-tracker-face
Link to project website
No response
Link to demo video
https://youtu.be/nQCPBAS_nBI
Inspiration
I have observed that taking attendance using pen and paper is very time consuming. So tracking attendance manually using face recognition could be the easiest way without any human labour. That's why I made this project.
What it does
My project is about tracking attendance of the students manually using face recognition. In my project, via face recognition technology, the face in front of the camera will be identified and matched with the database and if a match is found then under the detected face, the name of the person will be shown and the attendance will be stored in an Excel file with the name of that person and also the date and timing of the appearance of that person in front of the camera.
There are some amazing extra features like -Emotion Detection , Gender Detection. On detecting the face, it will also give the Gender of a person and also it will do Emotion Detection like if that person is happy , sad, angry, neutral.
Challenges you ran into
Challenges - Training the model for accurate face recognition. Also Deploying the project into a website.
Anything else?
No response