On average, flood damages cost $4.4 billion dollars in the US annually. Accurate, vast, and real-time coverage of water level monitoring is crucial for the advancement of environmental research, specifically the areas of climate change, water distribution, and natural disaster preparedness and management. This project presents a novel methodology for water level measurement that utilize prevalent sensors commonly found in smart devices. The presented methodology creates a distinct opportunity for a low-cost camera-based embedded system that will measure water levels and share surveys to support environmental monitoring and decision making. The presence of the camera supports further use cases such as recognizing objects (e.g. debris, tree, human, boat) on the water surface using Artificial Intelligence, and supplying annotated data for hydrological processes including surface water modeling, and flood prediction.
Related Articles
- Demir, I., Sermet, Y., 2020, Camera-Based Liquid Stage Measurement, U.S. Provisional Patent Application. 63/005,754, filed on April 6, 2020.
- Sermet, Y., Demir, I., ‘Next-Generation Stage Measurement at Ungauged Locations using Internet of Things’, Iowa Water Conference, April 8-9, 2020, Ames, IA. URL: https://www.flickr.com/photos/159887253@N02/49746283811/in/album-72157713792389998/
