ESP32 TinyML On-Device Water Quality Monitor¶
Membranes & Advanced Filtration • Est. CapEx: Low-cost / Locally fabricated
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 | Membranes & Advanced Filtration |
| Capital Cost | Low-cost / Locally fabricated |
| 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. |
| Target Scale | Household / Village Cluster |
| Standard Lifespan | 10 - 20 Years |
Cross-Reference & Interactive Tools¶
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