Pi 4 Biometric Attendance System Kit with Raspberry Pi 4 + Camera

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Replace manual roll calls and proxy attendance with a computer vision system built entirely by you. This kit equips you to assemble a Raspberry Pi 4–based biometric attendance logger that uses OpenCV to recognise faces, stamps each entry with a timestamp, and stores photographic evidence in a local SQLite database. Whether for a college lab where attendance is a daily headache, a Smart India Hackathon prototype, or an engineering capstone project, you'll deliver a polished, deployable solution that proves your command over embedded AI and database design.

What You'll Build

A compact, headless attendance terminal. Point the Pi Camera Module 3 at an entryway, run the pre‑configured Python script, and watch the three LEDs light green for a known face or red for unknown — while the active buzzer chirps once to confirm a log. The system writes each recognised face event into an SQLite table with columns for person ID, name, date‑time, and the full‑resolution snapshot. By the end of the 5‑6 hour build, you'll hold a self‑contained appliance that never forgets who walked in and when.

What You'll Learn

• Face detection and recognition pipelines with OpenCV on Raspberry Pi OS
• Designing an SQLite attendance database schema — tables, indices, and efficient queries
• GPIO programming for multi‑LED status indication and active buzzer feedback
• End‑to‑end integration of a camera, a relational database, and hardware peripherals into a single Python project

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech ECE/EEE/CSE students designing a major or mini project that combines embedded systems with AI. Smart India Hackathon teams needing a reliable attendance‑logging module that works offline. IIT, NIT, VIT, and BITS Pilani scholars who want a ready‑to‑demonstrate biometric system without spending weeks hunting for compatible parts. CBSE Class 12 computer science enthusiasts and ATL Tinkering Lab coordinators mentoring advanced learners will also find the build challenging yet deeply rewarding.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.