Home ESP32-S3 Audio Classifier Kit: Detect Glass Break, Alarm, Baby Cry
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ESP32-S3 Audio Classifier Kit: Detect Glass Break, Alarm, Baby Cry

SKU: CDN-KIT-4000 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 2,470.00
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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.

Difficulty: Beginner Build Time: 3-4 hrs Age: 15-18 Skill: Edge Impulse ML Audio Classification

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

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

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