Pi 5 Edge AI Anomaly Detection Kit with Raspberry Pi 5 + LED
Build a Real-Time Edge AI Anomaly Detection System with Raspberry Pi 5
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’re about to build a real-time machine monitoring system that catches faults before they cause failures. The Raspberry Pi 5 reads vibration data from the ADXL345 accelerometer, runs an Edge Impulse anomaly model, and triggers an alert when something goes wrong — all at the edge, no cloud required. It’s the exact kind of predictive maintenance prototype a Smart India Hackathon team or final-year B.Tech student needs to stand out.
What You'll Build
A self-contained predictive maintenance node that bolts onto industrial equipment like motors, pumps, or conveyor belts. It logs vibration patterns to MicroSD with timestamps (RTC), displays status on the OLED, and sounds a buzzer when vibration deviates from learned norms. The system learns what “normal” looks like from your own machine, so it adapts to your specific setup — not a generic threshold.
What You'll Learn
- Train an anomaly detection model in Edge Impulse using real sensor data from the ADXL345
- Interface the ADXL345 accelerometer over I2C on Raspberry Pi 5 GPIO
- Deploy a TensorFlow Lite model on Raspberry Pi 5 for real-time inference at the edge
- Implement timestamped data logging with DS3231 RTC and visual feedback on a 0.96-inch OLED
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | x1 |
| ADXL345 Accel | x1 |
| DS3231 RTC | x1 |
| 0.96in OLED | x1 |
| Active Buzzer | x1 |
| 4.7kΩ Resistors | x5 |
| 100nF Ceramic Capacitors | x5 |
| 40-pin GPIO Header | x1 |
| M-F Wires | x20 |
| MicroSD Card 32GB | x1 |
| USB-C PSU | x1 |
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
Engineering students pursuing B.Tech in ECE/EEE who need an advanced project for their final semester, participants in Smart India Hackathon building industrial IoT solutions, and ATL tinkering labs mentoring older students. If you’re comfortable with Python and the Linux terminal, this kit gives you a real edge-AI experience that goes far beyond a blinking LED.
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?
Open the QR code on the kit box to start a chat with the AI companion that knows every wire and line of code for this project, or message our Bengaluru team on WhatsApp for direct help.
Do I need prior experience with machine learning?
Not necessarily. The AI companion walks you through collecting vibration data, uploading it to Edge Impulse, and training the anomaly model. Some familiarity with Python and Raspberry Pi is helpful, but you’ll learn the ML workflow as you build.
Can I adapt the anomaly model for different sensors or machines?
Absolutely. The architecture is modular — once you’ve built the ADXL345 pipeline, you can swap in other I2C sensors like the MPU6050. The companion will guide you on relabelling data and retraining for new patterns.
What if a component arrives faulty?
We test every kit before shipping, but if a manufacturing defect slips through, we’ll replace the part at no cost within 7 days of delivery. Just message us on WhatsApp or email — our support is in Bengaluru, not an overseas bot.
Pi 5 runs Edge Impulse anomaly model on ADXL345 vibration data from GPIO. Flags machine faults in real time.
What's in this kit
Other projects you can build
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