Home Earthquake Vibration Logger Kit with ESP32 + MPU6050
Earthquake Vibration Logger Kit with ESP32 + MPU6050
In Stock

Earthquake Vibration Logger Kit with ESP32 + MPU6050

SKU: CDN-KIT-3304 Brand: Compoden Category: Electronics > AI & Advanced Boards > Project Kits
Rs. 3,040.00
Inclusive of all taxes
Free Shipping on prepaid orders above ₹999
Ships in 1-5 days
7-Day Warranty on manufacturing defects
Need 10+ units? Contact us for bulk pricing
100% Genuine Products
Expert Technical Support
Quality Tested
Soldr.ai Ask about this product

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.

Difficulty: Beginner Build Time: 3-4 hrs Age: 15-18 Skill: Edge AI vibration classification

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

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

View complete shipping policy →

View complete returns policy →