Intelligent vision system for quality classification of airport lamp prisms

Jakub Suder; Kacper Podbucki; Tomasz Marciniak; Adam Dąbrowski

doi:10.23919/SPA53010.2022.9927908

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Title

Intelligent vision system for quality classification of airport lamp prisms

Authors

Jakub Suder (WARiE) ^{[ 1 ][ 2.2 ][ SzD ]}
Kacper Podbucki (WARiE) ^{[ 1 ][ 2.2 ][ SzD ]}
Tomasz Marciniak (WARiE) ^{[ 1 ][ 2.2 ][ P ]}
Adam Dąbrowski (WARiE) ^{[ 1 ][ 2.2 ][ P ]}

^{[ 1 ]} Instytut Automatyki i Robotyki, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | ^{[ SzD ]} doctoral school student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technology

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

vision system
airport
lighting control
neural networks
artificial intelligence
Hough transform

Abstract

EN The article presents a concept of the analysis of mechanical wear of prisms in the in-pavement airport lamps. The solution is based on image processing technique that requires an appropriate selection of parameters due to the specificity of the objects. During the experimental tests, a database consisting of 316 photos of IDM airport lamps mounted in the airport areas was used. The proposed solution using an artificial neural network allows for the classification of lamps with an efficiency of 81.4%.

Date of online publication

07.11.2022

Pages (from - to)

151 - 154

DOI

10.23919/SPA53010.2022.9927908

URL

https://ieeexplore.ieee.org/document/9927908

Book

SPA 2022 Signal Processing : Algorithms, Architectures, Arrangements, and Applications : Conference Proceedings, Poznan, 21st-22nd September 2022

Presented on

SPA 2022 Signal Processing - Algorithms, Architectures, Arrangements, and Applications, 21-22.09.2022, Poznań, Polska