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Chapter


Title

Intelligent vision system for quality classification of airport lamp prisms

Authors

[ 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 and electrical engineering

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

Ministry points / chapter

20.0

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