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AI & AutomationCompletedOwn Product

Face Recognition Attendance

Secure contactless attendance system using computer vision and face recognition for institutional use.

PythonCVzoneFirebaseNumPy
F
Contactless
Capture Method
Real-time
Firebase Sync
Encoding-based
Identity Matching

The Challenge

Institutional attendance built on cards or fingerprints has two failure modes that are rarely designed for: proxy marking, and a shared contact surface. Both became harder to ignore after 2020.

Our Solution

Built a contactless system that identifies faces from a live camera feed, matches against enrolled encodings, and writes attendance to Firebase in real time. Because recognition runs against a stored encoding rather than a stored image, the enrolment set stays compact and the match happens locally.

Key Highlights

Face encodings stored rather than raw images, keeping the enrolment set small

Live camera pipeline built on CVzone over OpenCV, with NumPy handling the distance maths

Firebase realtime writes, so attendance is queryable the moment it is marked

One-time enrolment, repeated recognition — designed for institutional cohorts

Tech Stack

PythonCVzoneFirebaseNumPy
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