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Face Recognition Attendance System with Liveness Check

Approx. component budget: Rs. 0 - 3,000

Objective

Automate attendance reliably and fairly, with clear consent and secure storage of face data.

What you will build

A system that marks attendance when a student faces the camera, rejects printed photos with a liveness check, and exports daily and monthly reports.

Results you can expect

• Recognition accuracy on enrolled volunteers
• False accept and false reject rates
• Success rate against a photo-on-phone attack
• Time per recognition
• And report accuracy

What you will learn

Face embeddings, thresholds and error trade-offs, liveness detection, and privacy and consent rules.

Tools and notes

Python, OpenCV, face_recognition or InsightFace, a webcam, SQLite. Enrol only people who give consent, store embeddings rather than photos, and follow your college's data policy.

Resume points from this project

• Built and tested Face Recognition Attendance System with Liveness Check; objective: automate attendance reliably and fairly, with clear consent and secure storage of face data.
• Measured and analysed recognition accuracy on enrolled volunteers and false accept and false reject rates; wrote the report and presented the results in a viva. Add your own numbers: [x].

Replace [x] with your own measured results. Write only what you really did.

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