Smart attendance
Every attendance source, one register, one click to confirm
AI cameras pre-fill the register, RFID, QR and manual marking cover everyone else, and rules turn raw events into Present, Late or Absent - so teachers get their first period back.
- Works fully without face recognition
- Daily, period or lecture-wise
- Audit trail on every edit
Period 1 · Maths · 08:30
Class 5 - A register
- 1Aanya Gupta0.82Present
- 2Aarav Sharma0.77Present
- 3Arjun Mehta0.71Late
- 4Diya PatelOn Leave
- 5Ishaan Rao0.41Review
- 6Kabir SinghAbsent
1 uncertain match needs your check
Confirm register- to finalise a class register
- < 1 minto finalise a class register
- attendance sources in one register
- 5attendance sources in one register
- statuses incl. On Duty & Half-day
- 8statuses incl. On Duty & Half-day
- rules evaluated during school hours
- Every 5 minrules evaluated during school hours
AI pre-filled register
Teachers confirm - they don't call names
Classroom scans in the first minutes of each period pre-fill the register with a confidence score and snapshot per student. Uncertain matches are flagged, and the teacher confirms everything in one click.
- Roster-first matching per section
- Uncertain matches go to a review queue
- AI never marks a child absent on its own
Period 1 · Maths · 08:30
Class 5 - A register
- 1Aanya Gupta0.82Present
- 2Aarav Sharma0.77Present
- 3Arjun Mehta0.71Late
- 4Diya PatelOn Leave
- 5Ishaan Rao0.41Review
- 6Kabir SinghAbsent
1 uncertain match needs your check
Confirm registerMultiple sources
AI, RFID, QR and teacher marking - merged, not duplicated
Students without biometric consent tap an RFID card, scan a QR code or are marked by the teacher. Every source lands in the same register, with a clear priority order and the teacher's edit always winning.
- RFID / NFC card tap at the gate or bus
- QR from the ID card or parent app
- Manual marking on web or mobile
Sources for Aarav Sharma · today
- AI cameraGate 1 · 07:58 · sim 0.71
- RFID tapBus R-12 · 07:42
- QR scanLab 2 · 11:02
- TeacherPeriod 1 confirm · 08:36
Teacher edits always win; AI never marks a child absent on its own.
Staff attendance
Staff check in with a face or a geo-fenced tap
Teachers and staff check in at the gate camera, a staff-room kiosk or from the staff app inside the campus geofence. Late arrival and early departure are calculated against their shift.
- Geo-fenced mobile check-in
- Biometric / RFID device integration
- Late-minutes and early-departure reports
Good morning, Ms. Kavya
08:12
Inside campus geofence (42 m)
22
Present
1
Late
2
Leave
This month · selfie + location verified
Highlights
Rules that run your attendance policy for you
Late and absent rules
Gate entry before start = Present, after late_after = Late, nothing by the cutoff = Absent + alert.
Period & lecture-wise
Attendance linked to timetable slots, with subject-wise percentages for colleges.
Early-exit detection
Gate-out events during school hours are flagged to the class teacher.
Corrections with approval
Records lock after N days; every change is stored with reason, requester and approver.
Leave-aware
Approved leave auto-marks On Leave and cancels the pending absent alert.
Shortfall warnings
Students, parents and advisors are warned before attendance drops below 75%.
“Roll call used to eat ten minutes of the first period. Now teachers glance at the AI register, fix one or two names and confirm.”
Sample testimonial for illustration - names and institutions are placeholders.
Works better together
Explore related modules
Attendance, leave, transport and alerts share one data model - so an approved leave quietly suppresses the absent and missed-bus alerts.
FAQ
Smart attendance: common questions
See EduPresence on your own campus
Book a 30-minute walkthrough. We'll map your gates, classrooms and bus routes, and show you an AI-filled register with your own terminology and rules.
- Free campus survey
- Live in days without hardware
- Hosted in India