Pi 5 Indian Currency Note Classifier
Pi 5 Indian Currency Note Classifier Kit: Real-Time Denomination Recognition 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.
Classify Indian currency notes by denomination in real time using a Raspberry Pi 5 and a fine-tuned MobileNetV2 model. This complete edge AI kit lets you build a compact computer vision system that distinguishes between 10, 20, 50, 100, 200, and 500 rupee notes under ambient light, without any cloud connectivity. It transforms abstract machine learning concepts into a tangible, India-centric demonstration.
What You'll Build
You'll assemble a camera-equipped setup that captures a banknote image, runs an optimized TensorFlow Lite model on the Pi 5's CPU, and displays the denomination on screen within milliseconds. The classifier works entirely offline, demonstrating how on-device AI can solve practical classification problems. The final device is a self-contained recognition station you can demonstrate for academic submissions or personal pride.
What You'll Learn
- Fine-tuning MobileNetV2 on a custom Indian currency dataset
- Deploying a TensorFlow Lite model on Raspberry Pi 5 for inference
- Configuring the Pi Camera Module 3 and ring light for consistent, glare-free image capture
- Building an end-to-end edge AI pipeline from data collection to real-time classification
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| Ring Light | 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 kit is designed for engineering students (B.Tech ECE/EEE/CS) building an edge AI project for coursework, hackathons like Smart India Hackathon, or personal exploration. It also suits CBSE Class 12 students pursuing computer science who want a tangible AI/ML demonstration for practical exams, as well as makers in ATL Tinkering Labs or college innovation cells at IIT, NIT, VIT, and BITS.
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?
Scan the QR code to start a chat with the AI companion, which has been trained on this kit's assembly, code, and common pitfalls. You can also message us on WhatsApp for direct human support.
Is the MobileNetV2 model pre-trained on Indian currency?
Yes, the model comes fine-tuned on a curated dataset of Indian rupee notes and is ready to run. You also receive a retraining script if you wish to add denominations or refine accuracy.
Does this kit require an internet connection to classify notes?
No. The entire classification runs on the Pi 5's CPU using TensorFlow Lite, so it works completely offline after the initial software setup.
Can I submit this as a college project or hackathon entry?
Absolutely. The build process, training methodology, and deployment steps are fully documented, making it an ideal submission for B.Tech projects, Smart India Hackathon, or CBSE practical records.
MobileNetV2 fine-tuned on Pi 5 classifies Indian rupee notes by denomination — real currency recognition demo.
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