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Presence : An AI powered attendance
system based on facial recognition
• Presence is the bridge between teachers/lecturers
and the administration of the organization for attendance
maintenance.
Teachers Administration
• Presence uses a two way interface to view and update
the attendance.
App for teachers
Website for attendance admin
Mobile App
• Android Studio
• HTTP Requests
Website
• Django
• SQL
• Face Recognition(Microsoft Azure)
• RESTful API
The migration to Presence would require the organization
to provide:
• Student Info
• Pictures of students’ faces – Training Data
The data collection approximately for one person takes 45 seconds
approximately.
The training would happen Asynchronously in the background.
Once the migration has completed, posting attendance is as simple
as taking a picture.
How does Facial Recognition work?
We have taken help of Microsoft Azure’s help in order to implement
Various facial recognition algorithms like FaceNet.
Future advances
• Implement student side of website to submit images via webcam
• Implement MTCNN (Multi Task Cascaded Convolutional
Neural Networks) for better facial detection.
• Implement dashboard for students to staff to view attendance
stats.

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Presence

  • 1. Presence : An AI powered attendance system based on facial recognition
  • 2. • Presence is the bridge between teachers/lecturers and the administration of the organization for attendance maintenance. Teachers Administration
  • 3. • Presence uses a two way interface to view and update the attendance. App for teachers Website for attendance admin
  • 4. Mobile App • Android Studio • HTTP Requests Website • Django • SQL • Face Recognition(Microsoft Azure) • RESTful API
  • 5. The migration to Presence would require the organization to provide: • Student Info • Pictures of students’ faces – Training Data The data collection approximately for one person takes 45 seconds approximately. The training would happen Asynchronously in the background.
  • 6. Once the migration has completed, posting attendance is as simple as taking a picture.
  • 7. How does Facial Recognition work? We have taken help of Microsoft Azure’s help in order to implement Various facial recognition algorithms like FaceNet. Future advances • Implement student side of website to submit images via webcam • Implement MTCNN (Multi Task Cascaded Convolutional Neural Networks) for better facial detection. • Implement dashboard for students to staff to view attendance stats.