CS 426 Senior Project in Computer Science - Spring 2020
University of Nevada, Reno - CSE Department
Team 29
The American AVK Hydrant Detector is an application that will scan fire hydrants using augmented reality. The application
will then use machine learning and image recognition technology in order to correctly detect fire hydrants and identify
whether the hydrant was manufactured by American AVK or not. After an image is recognized as an AVK fire hydrant, the
application will display a manual stored in a database. The manual will correspond with the recognized fire hydrant in
order to allow users to easily go through a module and perform maintenance. In addition, the application will store a
history of previously scanned hydrants and their locations. It will also allow users to search for any specific manual
in a simple "Browse All" menu.
The goal of the application is to provide an easy way to access fire hydrant manuals. Speeding up the maintenance process
of AVK hydrants will help the company have an edge on its competitors, as no other hydrant manufacturer has used such an
application to detect its own products. In addition, a lot of manufacturing companies are behind in its technology.
Adding an easy-to-use augmented reality application will help advance such companies into an increasingly more technologically
advanced world.
Benjamin Estela
Sidney Inouye
Lan Le
Wen Le Ruan
Anne Paine
Devrin Lee
Sergiu Dascalu
Augmenting your Field Service | PTC Products | What is Machine Learning: Breakdown |
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Statistics about how augmented reality has helped improve field work. | PTC is a company that provides augmented reality tools. | An article about machine learning and its history, definition, and how it works. |