Pi 5 Acoustic Event Detection Kit
Pi 5 Acoustic Event Detection Kit – Deploy a CNN That Hears Danger in Real Time
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
What if your hostel corridor or factory floor could instantly flag a gunshot, shattered window, or cry for help — without sending a single second of audio to the cloud? This kit puts a privacy-respecting, always-on acoustic sentry into your hands. Using two INMP441 I2S microphones and a Raspberry Pi 5 running a custom convolutional neural network, you’ll train and deploy a spectrogram-based classifier that triggers alerts the moment it hears a threat.
What You'll Build
A wall-powered device that captures dual-channel audio, converts raw waveforms into mel-spectrograms, and performs on-device inference with a TensorFlow Lite CNN. The system can detect high-risk acoustic events — gunshots, glass breaking, screams — and push actionable alerts through MQTT or HTTP endpoints, all within milliseconds of the sound occurring.
What You'll Learn
- Digitizing high-fidelity audio with I2S MEMS microphones and the INMP441
- Generating mel-spectrograms as input features for a convolutional neural network
- Training a custom audio classification CNN using TensorFlow and converting it to TFLite
- Optimising real-time inference on Raspberry Pi 5 while minimising CPU usage and latency
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| INMP441 I2S Mic | 2 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 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
Final‑year B.Tech ECE and CS students at IITs, NITs, VIT, or BITS Pilani building smart‑security capstone projects. Teams competing in Smart India Hackathon who need a dependable, offline acoustic trigger for public‑safety prototypes. ATL tinkering lab mentors looking to introduce advanced edge AI concepts with real‑world life‑saving impact.
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 AI companion walks you through audio driver setup, CNN training, and deployment. For critical issues, WhatsApp support from our engineers is included.
Can this kit be used for other sound classification tasks?
Yes. Retrain the CNN to detect any acoustic event — vehicle horns, machine faults, or animal calls — using the same hardware and training pipeline.
Do I need prior experience with machine learning?
Familiarity with Python and basic ML concepts is recommended. The kit includes a pre‑trained model and Jupyter notebooks; prior TensorFlow exposure will help you customise it.
How is this better than a cloud‑based sound detection service?
On‑device inference means zero cloud costs, low latency, and full privacy — no audio ever leaves your hardware. It’s ideal where real‑time response matters and internet may be unreliable.
Audio spectrogram CNN on Pi 5 classifies sounds — gunshots, glass breaking, screams — for smart security systems.
What's in this kit
- Raspberry Pi 5 4GB
- INMP441 I2S Mic x2
- NVMe SSD 256GB
- Pi 5 M.2 HAT+
- USB-C PSU
- 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