Smart Attendance via Face Recognition
OpenCV + Python attendance system with an admin panel and reports.
Case Study
Problem Statement
Manual roll-call and RFID-card attendance systems are slow, easy to manipulate (proxy attendance), and generate no useful analytics for teachers or managers.
Our Solution
A camera-based system detects and recognizes registered faces in real time, marks attendance automatically with a timestamp, and gives admins a dashboard with daily/monthly attendance reports.
Features
- ✓Face registration flow (capture 5 angles per person)
- ✓Real-time recognition using OpenCV + face-recognition library
- ✓Automatic attendance logging with timestamp and confidence score
- ✓Admin panel to view, filter, and export attendance reports
- ✓Duplicate-mark prevention (won't mark the same person twice in a session)
Technology Stack
How It's Built
- 1
Enrollment module stores face encodings per registered user
- 2
Recognition module compares live camera frames against stored encodings
- 3
Attendance service writes a record when a match crosses the confidence threshold
- 4
Admin dashboard reads records and renders filterable reports
FAQ
How accurate is the recognition?
With good lighting and 5 registered angles per person, accuracy is typically 90%+ in the demo dataset. We walk you through tuning the threshold.
Can this work with a laptop webcam?
Yes, no special hardware needed.