Biometric Attendance

Advanced fingerprint and face recognition for accurate attendance tracking

48
Total Students
In S3 class
44
Present Today
+2% from yesterday
4
Absent Today
8.3% absence rate
0.4s
Avg Scan Time
99.8% accuracy
Biometric Scanner

Place finger on scanner

Click scan to simulate

Simulation Mode Active

This is a UI demonstration. In production, biometric devices would be connected via USB or network API.

Today's Attendance - S3
Live updates as students check in
StudentTimeStatus
SN
Sarah Nakato
S3/2023/001
07:32 AM
99.8%
Present
JK
John Kamau
S3/2023/002
07:33 AM
99.5%
Present
GA
Grace Atim
S3/2023/003
07:35 AM
99.9%
Present
DO
David Okello
S3/2023/004
-
Absent
AN
Alice Nambi
S3/2023/005
07:38 AM
99.7%
Present
PM
Peter Mugisha
S3/2023/006
07:40 AM
99.3%
Present
MA
Mary Akello
S3/2023/007
07:42 AM
99.8%
Present
JS
James Ssemakula
S3/2023/008
-
Absent
Weekly Attendance Trend
Present vs Absent students - S3
Hourly Check-in Distribution
Today's check-in timeline
Scan Method Distribution
Breakdown of biometric methods used today
Fingerprint
68%(30 students)
Face ID
32%(14 students)
DRAIS 0.0.0040 • Biometric Attendance System • 99.8% Accuracy Rate