Pi 5 Anomaly Detection Water Treatment
Raspberry Pi 5 AI Anomaly Detection for Water Treatment — Real-Time Contamination Monitoring Kit
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
From drinking water plants to pharmaceutical processing, undetected contamination can cause serious harm. This kit lets you build a real-time warning system using a Raspberry Pi 5 that runs an autoencoder neural network — trained on pH, turbidity, chlorine (via TDS proxy), and flow rate sensor data — to recognize when something goes wrong. It learns what “normal” looks like and alerts when it sees a deviation.
What You'll Build
You'll assemble a water quality monitoring station that continuously reads four sensor values, pre-processes the signals, and feeds them into a lightweight autoencoder running on the Pi 5. When contamination levels push the reconstructed error beyond a set threshold, the system logs the event, shows an alert on a dashboard, and can even send a notification. It's a complete edge-AI prototype for contamination detection in water treatment setups.
What You'll Learn
- Interfacing analog pH, turbidity, TDS, and flow sensors with Raspberry Pi 5 using an ADC and GPIO — handling real-world signal noise
- Training and deploying an autoencoder model for anomaly detection on embedded hardware — from data capture to inference on the Pi 5
- Building a Python dashboard for live data visualization, event logging, and alerting
- Interpreting sensor drift and recognizing contamination signatures that trigger early warnings
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Analog pH Sensor | 1 |
| Turbidity Sensor | 1 |
| YF-S201 Flow Sensor | 1 |
| TDS Sensor | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 20 |
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 building IoT capstone projects, CBSE Class 12 students exploring advanced AI applications, and teams competing in Smart India Hackathon with water sustainability themes. ATL tinkering labs can use it to demonstrate edge AI, and research groups at NIT/IIT/VIT/BITS can quickly prototype contamination monitoring for pilot water treatment studies.
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 inside the box to start a chat with the AI companion — it knows every wire and code line. If you need human help, message us on WhatsApp and our engineers will jump in.
Do I need prior AI/ML knowledge to complete this project?
The kit includes a pre-trained autoencoder and step-by-step Python scripts. You'll learn how anomaly detection works without writing complex ML code from scratch. Some programming experience is recommended, but the guide explains every step.
Can I use this kit to monitor water quality in a real plant or just for learning?
The sensors are research-grade and the system is a functional prototype. It's ideal for pilot-scale testing, academic projects, and proof-of-concept for water treatment innovation. It is not certified for industrial deployment but can inspire such solutions.
How accurate are the contamination alerts?
After a calibration period of a few hours of normal-operation data, the autoencoder can detect subtle shifts in the sensor pattern. You'll adjust the sensitivity threshold in the dashboard to minimize false alarms while catching genuine contamination events.
pH, turbidity, chlorine and flow rate sensors feed an autoencoder on Pi 5 — detects contamination events in water treatment.
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