Earthquake Vibration Logger Kit with ESP32 + MPU6050
Build an AI Seismometer: Earthquake Vibration Logger Kit with ESP32 & MPU6050
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 your bench into a predictive maintenance lab. This kit gives you everything to build a handheld vibration logger that uses a pre-trained Edge Impulse model on an ESP32-S3. Place it near a DC motor, fan, or conveyor — and watch the AI instantly flag abnormal vibrations with a red LED, while logging clean patterns as healthy with green. It’s seismology made smart, the way factories monitor their machines today.
What You'll Build
You'll assemble a compact sensor node that reads real‑time acceleration from the MPU6050, feeds it into an onboard neural network, and shows the verdict on a bright OLED. The red and green LEDs give a clear go/no‑go signal for any rotating equipment. Use it as a physics project to demonstrate early earthquake detection principles, or as the core of a Smart India Hackathon entry on Industry 4.0 — the build is identical, the narrative is yours.
What You'll Learn
- Capture 3‑axis vibration data with the MPU6050 and pre‑process signals for AI
- Upload and run a pre‑trained Edge Impulse model on the ESP32‑S3 at the edge
- Visualize live accelerometer values and classification results on an SSD1306 OLED display
- Build a real‑world motor fault detection system that mimics industrial condition monitoring
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| MPU6050 | 1 |
| 0.96in OLED SSD1306 | 1 |
| 5mm Red LED | 2 |
| 5mm Green LED | 2 |
| 4.7kΩ Resistors | 5 |
| 220Ω Resistors | 5 |
| 100nF Caps | 5 |
| 400-pt Breadboard | 1 |
| M-M Wires | 20 |
| Micro USB Cable | 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
CBSE Class 11–12 students building physics or computer science projects, B.Tech first‑year ECE/EEE aspirants exploring IoT and AI, ATL Tinkering Lab facilitators running machine learning workshops, and anyone preparing for the Smart India Hackathon with an Industry 4.0 theme. The pre‑trained model removes the AI learning curve, so you focus on the application.
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 QR code on the box launches an AI companion that walks you through each step — just point your phone at the circuit and it diagnoses connections. If you still need a human, our WhatsApp team replies in minutes.
Do I need prior AI or coding experience?
No. The Edge Impulse model is pre‑trained and the code is provided. You only need to know how to open the Arduino IDE and upload a sketch. Familiarity with basic electronics (breadboarding, LEDs) helps.
Can this kit detect actual earthquakes?
You can log vibration patterns, but the onboard model is tuned for motor fault frequencies. To attempt seismology, replace the model with one you train on earthquake data using the same Edge Impulse workflow — the hardware is ready for it.
How does the pre‑trained model run on the ESP32‑S3?
The Edge Impulse model is compiled as a TensorFlow Lite Micro library. It processes new accelerometer samples every 100 ms, outputs a normal/abnormal probability, and updates the OLED and LEDs — all locally, no cloud needed.
Seismology — MPU6050 feeds a pre-trained Edge Impulse model on ESP32-S3 that classifies normal vs faulty motor vibration.
What's in this kit
- ESP32-S3 Dev Board
- MPU6050
- 0.96in OLED SSD1306
- 5mm Red LED x2
- 5mm Green LED x2
- 4.7kΩ Resistors x5
- 220Ω Resistors x5
- 100nF Caps x5
- 400-pt Breadboard
- M-M Wires x20
- Micro USB Cable
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