Automatic Costal Flood Detection in Norfolk City
Description/Abstract/Artist Statement
A project to automatically detect the height of water in a tank. Uses Raspberry Pi and a camera as a vision system to automatically determine the severity of a flood. Raspberry pi image processing to detect low, moderate, and severe floods.
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Faculty Advisor/Mentor
Ayman Elmesalami
College Affiliation
College of Sciences
Presentation Type
Poster
Disciplines
Artificial Intelligence and Robotics | Other Computer Sciences | Software Engineering
Session Title
Poster Session
Location
Learning Commons @ Perry Library
Start Date
3-19-2022 9:00 AM
End Date
3-19-2022 11:00 AM
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Automatic Costal Flood Detection in Norfolk City
Learning Commons @ Perry Library
A project to automatically detect the height of water in a tank. Uses Raspberry Pi and a camera as a vision system to automatically determine the severity of a flood. Raspberry pi image processing to detect low, moderate, and severe floods.