Raspberry Pi 5 Face Recognition Attendance Kit - Edge AI Project
Raspberry Pi 5 Face Recognition Attendance Kit - Build an Automatic Attendance Logger with Edge AI
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Turn a Raspberry Pi 5 into an intelligent attendance terminal that recognises known students the moment they appear on camera. This kit mirrors real-world manufacturing QC vision systems but applies the same edge AI principles to a relatable classroom scenario. By the end, you will have a self-contained device that watches a live feed, matches faces against a stored set, and silently logs every attendance event to a CSV file with a precise timestamp.
What You'll Build
You will assemble a compact vision station around the Raspberry Pi 5, Pi Camera Module 3, and fast NVMe storage. The camera streams video; a Python script detects faces, extracts embeddings, and compares them against known student encodings. When a match exceeds the confidence threshold, a new row is appended to a CSV log with student name, date, and time. The whole pipeline runs offline on the Pi, and the NVMe SSD ensures quick model loading and smooth multi-face processing.
What You'll Learn
- Capture and control the Pi Camera Module 3 for low-latency face detection streams
- Implement face embedding and recognition with Python, OpenCV, and deep learning models
- Deploy and optimise a computer vision pipeline on Raspberry Pi 5 with an NVMe SSD as system disk
- Program reliable CSV-based logging with time-stamped attendance records and error handling
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
If you are a CBSE Class 11-12 student exploring AI or a B.Tech ECE/EEE learner building a mini-project, this kit delivers a polished outcome you can demonstrate. It fits neatly into Smart India Hackathon ideas, ATL Tinkering Lab experiments, and honours projects at IIT, NIT, VIT, or BITS. Anyone aged 16-21 who wants to move beyond LED blinkers and into real computer vision will find a clear, guided path here.
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?
The AI companion walks you through every wiring step and code block. If you need human help, WhatsApp support is included, and we can review your setup remotely.
How many known faces can the system remember?
You can enrol dozens of students; the recognition loop compares embeddings in real time. We recommend up to 50 faces for consistent speed on the Pi 5 without additional optimisation.
Can the kit run without an internet connection after setup?
Absolutely. All face detection and recognition runs locally on the Pi. Internet is only needed during the initial OS setup and to access the AI companion if you choose to.
Does the system store images, or only attendance logs?
By default, it only writes the student ID and timestamp to the CSV file. No video or images are saved unless you explicitly modify the code to do so.
Manufacturing QC - 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