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Smart Water Meter: Real-Time Water Consumption Monitoring and Anomaly Detection System


“Every Drop Counts.” An AI-Powered Leap Toward Smarter Water Consumption

 


🌐
Domain of Impact

Redefining Water Management with IoT, AI, and Fault Tolerance.

Categories:
🌍 Smart Home Technology 🧠 Embedded Artificial Intelligence 📡 Internet of Things (IoT) ♻️ Environmental Sustainability

The Smart Water Meter is a low-cost, AI-powered IoT solution designed to help households monitor water usage in real time and detect leaks early. By combining flow and pressure sensors with edge AI (Extreme Learning Machine), our system empowers users to manage their water consumption more efficiently—reducing waste, lowering bills, and promoting sustainability.

 

👨‍💻 Meet the Brains Behind the Build

We’re a passionate student team from Universitas Brawijaya, combining our unique skills in AI, embedded systems, and cloud technologies to build a tool that saves water—and the future.


🛠️
The Problem We’re Solving

Invisible Leaks. Unchecked Usage. Unexpected Bills.

🚱 Many households are unaware of how much water they consume daily.
💸 Water leaks often go undetected, leading to inflated bills and wasted resources.
🔧 Analog meters offer no real-time feedback or remote monitoring.
📉 There’s a lack of affordable, scalable tools for proactive water management in residential areas.


🎯
Our Mission

Smart Monitoring for a More Responsible Lifestyle.

👁️‍🗨️ Provide real-time insight into household water usage.
🧠 Detect leaks and anomalies automatically using AI before they cost you
📲 Empower users through a simple mobile dashboard.
🌱 Raising consciousness through clarity in consumption.


💡
A Smart Solution, Drop by Drop

How We Built a Leak-Sensing, Real-Time Monitoring Machine
Real-time monitoring using YF-S201 flow sensors & pressure transducers
Anomaly detection powered by embedded Extreme Learning Machine (ELM)
Fault-tolerant design using triple-sensor median voting
Mobile dashboard (via Blynk) to view consumption, cost, and pressure
Instant leak notifications with sub-5-second delay


🧰
Prerequisites – Component & Platform Stack

Tech Stack & Toolkit: From Sensors to Software
🔌Hardware:
  • ESP32 (Wi-Fi MCU)
  • 9× YF-S201 Flow Sensors (3 per node – Main, Kitchen, Bathroom)
  • WISNER WPT-83G-EGG4 Pressure Transducer
  • DS3231 Real Time Clock
  • Power Supply, PVC piping, 3D-printed enclosures
🧠 Software & Platforms:
  • Arduino IDE (Firmware)
  • Blynk Cloud (Dashboard & Notifications)
  • Google Colab (Model Training)
  • C++ (Core Logic)
  • ELM Model (AI Algorithm)


💡
Inside the System

From Tank to Tap: Visualizing Our Architecture

Redundant readings → Median filtering → ELM inference → Leak detection → Notification


🎬
Demo Time!

See It. Hear It. Believe It.

📽️ Watch Demo Video → Smart Water Meter: Real-Time Water Consumption Monitoring & Anomaly Detection System

🎥 What You’ll See:
  • Live water flow and pressure displayed on Blynk dashboard
  • Anomaly detection in action (e.g., leak simulation!)
  • Real-time mobile notifications <5s after issue detection
  • Behind the scenes: embedded AI model on ESP32

💭 Final Thoughts

Sustainable Innovation Starts at Home

Smart Water Meter makes water management smarter, not harder. With AI at the edge, fault-tolerant sensors, and accessible mobile dashboards, we offer an effective, affordable step toward sustainable water usage and digital transformation in the household sector.

Awareness begins with visibility—our Smart Water Meter makes every drop count.


📬 Contact Us

Let’s Connect & Collaborate!

Got feedback, ideas, or want to collaborate with us on sustainable technology?
Feel free to reach out!

🔗 LinkedIn:
📁 Project Repository:

https://bit.ly/GitHubSmartWaterMeter


🐦‍🔥 Behind the Flow: Team Moments

Because great ideas flow from great teamwork!

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