ESP32-S3 Anomaly Detection Kit
ESP32-S3 Anomaly Detection Kit – Build an Edge AI Machine Health Alert System
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine a motor on a factory floor, a pump in a lab, or a drone motor – you can build a device that learns its normal vibration signature and screams with a buzzer when something changes. This ESP32-S3 anomaly detection kit enables you to deploy a trained Edge Impulse model on real hardware, turning a tiny IMU into a predictive maintenance tool. Perfect for Smart India Hackathon projects, B.Tech final years, or CBSE AI curriculum, you'll create an intelligent monitor that could save machines and money.
What You'll Build
You’ll assemble a standalone device that continuously reads 3-axis vibration from an MPU6050, processes the data on the ESP32-S3, and triggers a piezo buzzer plus red/green LEDs if the pattern deviates from normal. The kit teaches how to train a model in Edge Impulse, deploy it, and integrate sensor feedback – all without cloud dependency, keeping inference local and fast.
What You'll Learn
- Train an anomaly detection model in Edge Impulse using vibration data
- Deploy a TensorFlow Lite model to ESP32-S3 for real-time inference
- Interface MPU6050 over I2C to capture accelerometer and gyroscope signals
- Build a physical alert system with buzzer and LEDs that reacts to ML output
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| MPU6050 IMU | 1 |
| Piezo Buzzer | 1 |
| LED Red | 2 |
| LED Green | 2 |
| 220Ω Resistors | 5 |
| MicroUSB Cable | 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 kit is designed for intermediate learners who already have some experience with Arduino or ESP32. It's ideal for B.Tech ECE/EEE students building AIoT projects, CBSE Class 11–12 students exploring the AI syllabus, and teams competing in Smart India Hackathon. ATL Tinkering Labs and IIT/NIT/VIT/BITS Pilani makers will find the edge AI focus especially relevant for industry-readiness.
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?
Our AI companion (accessed via QR) walks you through every connection and code block; if you still hit a snag, WhatsApp support from the Compoden team responds within hours.
How do I train the anomaly detection model?
You'll capture normal vibration data from your machine, label it in Edge Impulse, and let the platform generate an autoencoder model. No deep ML expertise needed – the companion video shows every step.
Can I use this for a specific machine like a water pump or drone?
Absolutely. The model learns the normal pattern of whatever you monitor. Mount the MPU6050 on the machine housing, capture baseline data, and retrain the model to catch deviations.
What if my model doesn't detect anomalies accurately?
The companion provides tuning tips – you can adjust the threshold and collect more diverse training data. You can also connect over WhatsApp for model debugging advice.
Edge Impulse anomaly detection model on ESP32-S3 monitors vibration from MPU6050 — alerts when machine pattern changes.
What's in this kit
- ESP32-S3 Dev Board
- MPU6050 IMU
- Piezo Buzzer
- LED Red x2
- LED Green x2
- 220Ω Resistors x5
- MicroUSB Cable
- 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