Pi 5 Structural Health Monitoring Kit
Pi 5 Structural Health Monitoring Kit: Detect Structural Flaws with MEMS Accelerometers and 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.
You‘ll build a live structural health monitor that samples MEMS accelerometer data, runs a TFLite model on the Pi 5 to classify vibration patterns, and flags anomalies — the kind of system used for bridge monitoring and industrial equipment maintenance. The kit uses the ADXL355’s low‑noise 20‑bit output to capture subtle structural changes invisible to the naked eye.
What You’ll Build
Train a TFLite model on vibration signatures that distinguish normal structural behavior from cracks, fatigue, or loosening bolts. Deploy the model on the Pi 5 with two ADXL355 accelerometers over SPI, visualise classification results in real time, and store trend data on the NVMe SSD for long‑term analysis.
What You’ll Learn
- Deploy a TensorFlow Lite model on Raspberry Pi 5 for real‑time inference
- Interface dual ADXL355 MEMS accelerometers over SPI for high‑resolution vibration data
- Set up edge storage with NVMe SSD and the Pi 5 M.2 HAT+ for persistent data logging
- Build an end‑to‑end structural health monitoring pipeline from sensor to alert
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| ADXL355 Accelerometer | 2 |
| SPI to Ethernet | 1 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 15 |
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 advanced kit is built for B.Tech ECE, EEE, or civil engineering students tackling Smart India Hackathon challenges, final‑year projects at IITs, NITs, VIT, or BITS, and makers prototyping edge AI for infrastructure monitoring. If you’re ready to move beyond blinking LEDs and want to solve real engineering problems, this is your build.
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?
Your kit’s QR code opens an AI companion trained on this exact project; you can also reach us on WhatsApp for human backup.
Do I need to train the TFLite model from scratch?
The AI companion provides a pre‑collected dataset of vibration signatures and guides you through training a classification model using TensorFlow before deploying it on the Pi 5.
Is this kit applicable to real bridges or buildings?
While this is a learning prototype, the principles — MEMS accelerometer placement, SPI data acquisition, edge AI classification — are identical to those used in industrial structural health monitoring systems.
Can I use this for predictive maintenance of machinery instead?
Absolutely. The same vibration classification approach works for rotating machinery; just replace the dataset with vibration patterns of motors, pumps, or bearings.
Vibration signatures from MEMS accelerometers classified by TFLite model on Pi 5 detect structural damage early.
What's in this kit
- Raspberry Pi 5 4GB
- ADXL355 Accelerometer x2
- SPI to Ethernet
- NVMe SSD 256GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x15
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