Acoustic Event Classification Kit Kit with Arduino Mega + LED
Build a Real-Time Acoustic Event Classifier with Arduino Mega, FFT, and OLED
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 security system that can tell the difference between a breaking window and a barking dog, and only alerts you when it truly matters. This kit lets you build exactly that—a compact, always-listening device that uses a MAX9814 microphone and Arduino Mega to run FFT analysis, classify sounds in real time, and display the detected event with a confidence score on an OLED. Whether you're prototyping a smart home guardian or a lab project on embedded audio classification, every assembly step leads to a working, tangible outcome.
What You'll Build
You'll assemble a standalone acoustic event classifier that continuously samples ambient audio, extracts frequency-domain features via FFT, and identifies three target sounds: glass break, dog bark, and alarm/siren. The 0.96-inch OLED shows the event type and its confidence percentage instantly. An active buzzer triggers an alert for classified events, and every detection is logged to a microSD card with an accurate timestamp from the DS3231 RTC for later analysis.
What You'll Learn
- Implement Fast Fourier Transform (FFT) on Arduino Mega for real-time audio analysis
- Design and train a simple sound classification algorithm using feature vectors from the frequency domain
- Interface I2C OLED, SPI microSD module, and analog MEMS microphone with an Arduino Mega
- Integrate a real-time clock for precise event timestamping and log data management
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Mega 2560 | x1 |
| MAX9814 Mic | x1 |
| DS3231 RTC | x1 |
| MicroSD Module | x1 |
| 0.96in OLED | x1 |
| Active Buzzer | x1 |
| 10kΩ Resistors | x5 |
| 100nF Caps | x10 |
| PCB Prototype Board | x2 |
| 9V Battery Snap | x1 |
| Soldering Iron | x1 |
| Solder Wire | x1 |
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
Designed for advanced learners ready to tackle real digital signal processing on embedded hardware. B.Tech ECE and EEE students will find it perfect for DSP or IoT coursework, while Smart India Hackathon teams can use it as a core sound-awareness module. ATL Tinkering Lab mentors and hobbyists from IIT/NIT/VIT/BITS campuses will appreciate the fusion of theory and hands-on building. If you've worked with basic Arduino and want to move into frequency-domain analysis, this kit is your next step.
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 in the box to launch the AI build companion, which walks you through each step. You can also reach out on WhatsApp for direct help from our support team.
Can this kit detect custom sound events?
The supplied firmware classifies glass break, dog bark, and alarm sounds. However, the FFT feature extraction pipeline is documented so you can modify it and retrain the classifier for other sounds using offline tools.
Is soldering required?
Yes, the kit includes a soldering iron and all components need to be soldered onto the prototype board. Basic soldering experience is assumed; the build companion includes a quick primer.
How accurate is the classification in real environments?
In quiet to moderately noisy rooms, accuracy exceeds 85% for the three target sounds. The AI companion provides calibration tips to optimize for your specific acoustic environment.
MAX9814 mic + FFT classifies glass break, dog bark and alarm sounds. OLED shows event type and confidence.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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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