Pi 5 Smart Attendance System
Raspberry Pi 5 Face Recognition Attendance Kit — Automatic Student Attendance Logger
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine a classroom where attendance is taken the moment students walk in — no roll calls, no proxies. This kit lets you build a Raspberry Pi 5-powered attendance system that uses computer vision to recognise registered faces and log their presence with a timestamp to a CSV file. Perfect for school and college projects, hackathons, or automating institutional attendance.
What You'll Build
You'll create a self-contained, camera-based attendance system that identifies pre-enrolled individuals and records each detection. The CSV log includes name and arrival time, ready for integration with existing school or college systems. A web dashboard (optional) can display live attendance counts.
What You'll Learn
- Deploying face detection and recognition using OpenCV and the Raspberry Pi Camera Module 3.
- Training a face recognition model with labeled images and testing accuracy.
- Writing Python scripts to capture images, detect faces, compare embeddings, and log entries to CSV with timestamps.
- Optimising an Edge AI pipeline on the Raspberry Pi 5 with NVMe SSD for fast model inference.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This project is ideal for CBSE Class 11-12 students exploring AI and Python, B.Tech ECE/CS undergraduates working on automation projects, and teams preparing for Smart India Hackathon. ATL Tinkering Labs and engineering college clubs at IITs, NITs, VIT, and BITS will find it a ready-to-go solution for attendance innovation.
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.
What if I get stuck during the build?
Use the AI companion via the QR code for step-by-step help, or reach us on WhatsApp for human assistance.
Can this system recognise multiple faces at once?
Yes, the code processes multiple faces in a frame; it logs each recognised person separately with the timestamp.
Do I need an internet connection for the attendance system to work?
No, all face recognition runs offline on the Pi 5. The CSV log is stored locally. You only need internet to download the AI model initially.
Can I integrate this with a school management system?
You can export the CSV or extend the Python script to connect to an API; the AI companion includes guidance on integration examples.
Facial recognition marks attendance automatically when known students appear in frame — logs to CSV with timestamp.
What's in this kit
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items