Acoustic Gunshot Localisation Node Kit with ESP32
Real-Time Acoustic Gunshot Localisation Node Kit with ESP32-S3 — Advanced TDOA & TFLite Alert Project
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit puts a complete gunshot detection and localisation system on your workbench. Four high‑fidelity INMP441 microphones form a phased array, feeding an ESP32‑S3 that computes Time Difference of Arrival (TDOA) to estimate the direction and zone of a gunshot. A TensorFlow Lite neural network running on‑device classifies the sound as a gunshot or a false impulse like a firecracker. When a threat is confirmed, the SIM800L GSM module sends an alert with the zone tag and timestamp, while the ILI9341 TFT shows live status and the microSD logs every event for forensic analysis. Build a deployable node for security perimeter monitoring, wildlife anti‑poaching, or smart city protection—all from one box.
What You'll Build
You’ll assemble a standalone acoustic gunshot localisation node that continuously listens through four synchronised I2S microphones, extracts TDOA signatures with sub‑millisecond accuracy, classifies gunshots using a custom TensorFlow Lite model, and transmits GSM alerts including the calculated direction zone. The node features a real‑time clock for precise timestamping, a TFT display for field status, and a regulated 12V‑to‑3.3V power supply that can run from a battery or mains. It’s a full prototype ready for field deployment or advanced academic research.
What You'll Learn
- Capture synchronised 4‑channel audio using I2S INMP441 mics and ESP32‑S3’s parallel processing
- Implement Time Difference of Arrival algorithms to compute sound source direction and angle of arrival
- Deploy a TensorFlow Lite audio classifier that distinguishes gunshot signatures from impulsive noise
- Interface GSM, RTC, TFT, and SD card peripherals under a robust power management scheme with buck regulation
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| INMP441 I2S Mic | 4 |
| SIM800L GSM | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| LM2596 Buck Converter | 1 |
| 2.4in TFT ILI9341 | 1 |
| 1000µF 25V Caps | 2 |
| 100nF Caps | 15 |
| PCB Prototype Board | 3 |
| Enclosure Box | 1 |
| 12V 3A PSU | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
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 advanced kit is built for B.Tech ECE/EEE final‑year students developing defense or public safety capstone projects, Smart India Hackathon participants tackling real‑world security challenges, and research engineers at IIT/NIT/VIT/BITS who need a hands‑on embedded AI and DSP platform. Wildlife conservation technologists and defense sector innovators will also find it directly applicable for rapid prototyping of acoustic surveillance nodes.
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 on the box to chat with the AI build companion, which knows every wiring detail and calibration step for this exact kit. If you need a human touch, our WhatsApp support line is also available.
Do I need prior experience with DSP or machine learning?
The AI companion explains TDOA theory and TFLite model deployment step by step, but familiarity with C/C++ and basic signal processing concepts will help you move faster. The project is designed for advanced learners ready to dive deep.
Can this kit distinguish gunshots from firecrackers or other loud sounds?
Yes, the pre‑trained TensorFlow Lite classifier has been specifically trained to separate gunshot signatures from common urban impulsive noises. You can further fine‑tune the model using your own recorded samples for even higher accuracy in your target environment.
Will the GSM module work in remote forest areas with weak signal?
The SIM800L operates on 2G 900/1800 MHz bands, supported by major Indian operators even in many fringe areas. You can connect an external active antenna (not included) to the module’s u.FL connector to boost reception in challenging terrains.
Four INMP441 mics on ESP32-S3 compute TDOA. TFLite classifier confirms gunshot vs impulse. GSM alert with zone.
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.
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