Home Pi 5 Water Network Leak Detection
Pi 5 Water Network Leak Detection
In Stock

Pi 5 Water Network Leak Detection

SKU: CDN-KIT-2322 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 29,320.00
Inclusive of all taxes
Free Shipping on prepaid orders above ₹999
Ships in 1-5 days
7-Day Warranty on manufacturing defects
Need 10+ units? Contact us for bulk pricing
100% Genuine Products
Expert Technical Support
Quality Tested
Soldr.ai Ask about this product

Raspberry Pi 5 Water Network Leak Detection Kit: Train a GNN to Pinpoint Leaks

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: Intermediate Build Time: 5–6 hrs Age: 15–21 Skill: Graph neural network leak detection

Water utilities lose up to 40% of water to leaks. This kit gives you everything to build a real-time monitoring system that deploys a graph neural network on Raspberry Pi 5. Four flow sensors and pressure modules feed data into a GNN model that learns pressure differential patterns—then instantly identifies the leaking pipe segment. Perfect for ECE, EEE students and Smart India Hackathon teams moving from theory to a working AI IoT solution.

What You'll Build

A complete IoT pipeline: four YF-S201 flow sensors and BMP280 pressure modules connect to your Raspberry Pi 5 over I2C. High‑speed sensor data streams onto an NVMe SSD via the M.2 HAT+. The trained GNN processes the network graph in real time, and you’ll visualise leak locations on a local dashboard or trigger remote alerts. It’s a real‑world leak detection prototype you can demo, extend, or even deploy in a campus water network simulation.

What You'll Learn

  • Deploy a graph neural network on Raspberry Pi 5 for live sensor data inference
  • Integrate YF-S201 flow sensors and BMP280 pressure sensors over I2C
  • Build a multi‑node pipe network and collect pressure differential training data
  • Train a GNN to classify leak location from pressure signature patterns

Kit Contents

Component Quantity
Raspberry Pi 5 4GB 1
YF-S201 Flow Sensor 4
BMP280 4
NVMe SSD 128GB 1
Pi 5 M.2 HAT+ 1
USB-C PSU 1
M-M Wires 30

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 B.Tech ECE/EEE students working on Smart India Hackathon or mini‑project demonstrations, CBSE Class 12 students building AI‑powered physics experiments, and makers hacking water conservation solutions at ATL Tinkering Labs. If you’re exploring graph neural networks at IITs, NITs, or VIT, this kit turns theory into a deployable system you can show off.

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.

How does the GNN detect leak location?

The graph neural network learns pressure differential patterns across four measurement nodes. A leak causes a pressure drop that propagates differently depending on its location, and the model maps that to the most likely pipe segment.

Do I need prior Python or AI experience?

This is an intermediate kit — basic Python and Linux familiarity helps, but our AI companion provides line‑by‑line code guidance and model training scripts.

What water network setup is needed?

You can simulate a 4‑branch pipe network with household plastic tubing and a small submersible pump (not included). We provide a network schematic and sensor mounting guide.

Can I log data to the cloud?

Yes, the Pi can upload sensor logs to Firebase or AWS IoT. Our AI companion walks you through the integration step by step.

Flow sensors at 4 network points feed a GNN on Pi 5 that identifies leak location from pressure differential pattern.

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

View complete shipping policy →

View complete returns policy →