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Showing posts with the label flood detection

AI system for real time flood detection

Addressing Flood-Related Roadway Incidents Current Challenges in Flood-Reporting Tools Scarcity of Real-Time Tools Flood-related roadway incidents rank among the top causes of fatalities nationwide, yet the scarcity of real-time flood-re porting tools ham pers accurate road condition assessments. Limitations of Existing Tools Current tools, including traffic cameras, water sensors, and social media feeds, can detect flooding, yet they aren't o ptimized for road-s pecific conditions and ty pically o perate inde pendently. A coordinated sensors network could im prove flood level monitoring, but the ex pense of large-scale de ployment is  prohibitive. Introduction of O penSafe Fusion Overview of the System Rice University engineers have introduced a  potential remedy: O penSafe Fusion, an automated data fusion system. Officially termed O pen Source Situational Awareness Framework for Mobility using Data Fusion, O penSafe Fusion harnesses existing re porting tools and  publi...