ESP32 TinyML On-Device Water Quality Monitor¶
Water Quality & Sensors • Est. CapEx: $35 USD • Lifespan: 7–15 Years
Technical Overview¶
A low-cost, real-time water quality monitoring system built around the ESP32 microcontroller that measures pH, TDS, temperature, and turbidity. It integrates an on-device neural network (TinyML via TensorFlow Lite for Microcontrollers) to classify water impurity events locally without requiring constant cloud connectivity, making it ideal for decentralized and remote deployments.
Key Specifications & Engineering Parameters¶
| Parameter | Specification |
|---|---|
| Category | Water Quality & Sensors |
| Capital Cost (CapEx) | $35 USD |
| Power / Energy | Solar PV / Thermal |
| Target Scale | Community Scale |
| Standard Lifespan | 7–15 Years |
| Technology Maturity | Field Tested |
| Primary Mechanism | Analog and digital sensors feed parameter data into an ESP32 microcontroller, where a trained neural network processes the readings in real time to categorize water as ‘Normal’, ‘Rainwater Runoff’, or ‘Chemical’ with 99.28% accuracy. An intelligent fluctuation-based logging algorithm drastically reduces storage writes, and an automated pump control actuator enables autonomous response when anomalies are detected. |
Cross-Reference & Interactive Tools¶
Need to evaluate this technology for your specific field site? Run the WhatWater.info Selector Engine to compare it against 100+ alternative solutions.