ESP32-S3 Audio Classifier Kit: Detect Glass Break, Alarm, Baby Cry
ESP32-S3 Audio Classifier Kit: Detect Glass Break, Alarm, Baby Cry
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 a tiny ESP32-S3 board into an intelligent sound alert system that tells glass break apart from a security alarm or a baby's cry - no cloud connection needed once trained. Using Edge Impulse's cloud ML workspace, you'll capture sound events with the high-quality INMP441 microphone, train a neural network, and deploy it directly to the board. Every detection triggers an MQTT alert you can route to a phone notification, home automation, or logging dashboard.
What You'll Build
You'll have a compact, always-on sound sensor that publishes real-time events over Wi-Fi. Place it near a workshop window to catch break-ins, next to a smoke alarm to log auditory warnings, or in a nursery to monitor baby cries. The board's built-in Wi-Fi connects to any MQTT broker, letting you chain actions like turning on lights, sending SMS, or storing logs for later analysis.
What You'll Learn
- Capturing high-fidelity audio with an INMP441 I2S mic and ESP32-S3
- Pre-processing audio into MFCC spectrograms for Edge Impulse
- Training a neural network to classify glass break, alarm, and baby cry sounds in Edge Impulse cloud
- Exporting the model to the ESP32-S3 and publishing events over MQTT
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| INMP441 I2S Mic | 1 |
| LED Red | 2 |
| Piezo Buzzer | 1 |
| 220? Resistors | 3 |
| MicroUSB Cable | 1 |
| M-M Wires | 10 |
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
Ideal for CBSE Class 11-12 students building AI-IoT projects, B.Tech ECE/EEE first-years prototyping safety monitors, Smart India Hackathon teams needing a reliable sound classifier, and ATL Tinkering Labs introducing embedded ML. Anyone who wants a working template for sound-based alerting will find this kit a perfect starting point.
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?
Scan the QR code to launch the AI companion trained specifically for this kit; it guides you step-by-step. You can also reach us on WhatsApp for direct help.
Do I need an internet connection after training?
After you deploy the trained model, the ESP32-S3 runs entirely standalone. An internet connection is only needed for Wi-Fi MQTT communication and for accessing Edge Impulse cloud during the training phase.
Can I teach the board to recognize my own sounds?
Yes. Edge Impulse cloud lets you upload custom audio samples and re-train the classifier. The same hardware can learn to detect door knocks, dog barks, or machinery noises.
Will this kit work with a USB power bank?
Absolutely. The board is powered via MicroUSB, so any standard 5V power bank or phone charger can run the detector for hours.
Voice - Edge Impulse audio classifier on ESP32-S3 detects glass break, alarm and baby cry - publishes class to MQTT.
What's in this kit
- ESP32-S3 Dev Board
- INMP441 I2S Mic
- LED Red x2
- Piezo Buzzer
- 220? Resistors x3
- MicroUSB Cable
- M-M Wires x10
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