Nano Neural Network on Hardware Kit with Arduino Nano + MPU6050
Deploy a Neural Network on Hardware: Arduino Nano + MPU6050 Real-Time Classifier Kit
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
You’ll train a compact neural network on your PC, quantize it for an 8-bit microcontroller, and flash it onto an Arduino Nano. Once deployed, the system reads real-time motion data from the MPU6050, runs inference locally, and classifies gestures or patterns with a validated 96% accuracy—no cloud, no latency, just edge AI in a matchbox-sized device.
What You'll Build
A battery-powered hardware neural network that captures accelerometer and gyroscope streams, processes them through a trained TinyML model, and displays the predicted class on a 0.96-inch OLED. The final assembly fits inside an ABS enclosure, making it a portable demo for smart sensor applications or a hackathon-ready proof-of-concept.
What You'll Learn
- Train a feedforward neural network in Python and export it to TensorFlow Lite for microcontrollers
- Quantize floating-point weights to 8-bit integers while preserving classification accuracy
- Interface MPU6050 and DHT22 sensors with Arduino Nano and fuse data in real time
- Debug on-device inference pipelines using serial output and OLED visualization
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Nano | 1 |
| MPU6050 | 1 |
| DHT22 | 1 |
| 0.96in OLED | 1 |
| 3.7V LiPo 500mAh | 1 |
| TP4056 Module | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Capacitors | 5 |
| PCB Prototype Board | 2 |
| ABS Enclosure Box | 1 |
| Soldering Iron | 1 |
| Solder Wire | 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
B.Tech ECE and EEE students working on edge AI electives, Smart India Hackathon teams needing a proven sensor-AI base, and hobbyists from IIT, NIT, VIT, or BITS Pilani who want to move beyond Arduino blink sketches into real on-device machine learning. It’s designed for those comfortable with Arduino IDE and basic Python who are ready to bridge the PC-to-microcontroller gap.
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 PC software do I need to train the neural network?
You’ll use Python with TensorFlow and the TensorFlow Lite Converter. The AI companion includes a ready-to-run Colab notebook that generates the model. If you hit a snag, WhatsApp support can guide you through the training flow.
How is 96% accuracy achieved on an 8-bit microcontroller?
The provided model is pre-quantized and validated on real MPU6050 data collected from this exact sensor. The AI companion explains how quantization-aware training preserves accuracy; you can verify it on your own collected samples.
What if the deployment fails or the OLED shows garbage?
Check I2C wiring and baud rate first—the AI companion’s diagnostic mode reads sensor registers live. If that doesn’t fix it, share a photo on WhatsApp and we’ll help isolate the issue, usually a cold joint or mismatched library version.
Can I retrain the model for different gestures?
Yes. The kit includes a data collection script and the AI companion walks you through recording new motion classes, retraining, and re-quantizing. You’ll have a custom classifier by the end of the build.
Tiny ML model trained on PC deployed to Nano. Classifies sensor data in real time with 96% accuracy.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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