Water quality monitoring — including turbidity, a key indicator of sediment and pollutant load — typically requires expensive, purpose-built instrumentation that limits deployment density, especially in under-resourced watersheds.
This project develops a low-cost, camera-based turbidity sensor, building on the NGIN Lab’s edge-ML water sensing work (see AquaCam), to make dense, low-cost water quality monitoring practical for a wider range of sites.
Funding: USGF — Development of a Low-Cost Camera-Based Turbidity Sensor ($34,954, 2024–2025)
Team: Susmit Shannigrahi (Co-PI)