Title

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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Presenting Author Name/s

Gabriel Del Razo

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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Mar 19th, 9:00 AM Mar 19th, 11:00 AM

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.