DEVELOPMENT OF AUTOMATIC TURNAROUND TIME ANALYSIS USING COMPUTER VISION
Turnaround time is an essential indicator for airlines to improve on-time performance and for airports to manage slots. However, turnaround time performance analysis is minimal because recording detailed activities during blockon is impractical. This research aims to develop an automated turnarou...
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id-itb.:822442024-07-06T17:46:06ZDEVELOPMENT OF AUTOMATIC TURNAROUND TIME ANALYSIS USING COMPUTER VISION Benedict Oliver Brata, Hoo, Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project Turnaround Time, On-Time Performance, Slot Management, Block- On Time, YOLO, Computer Vision, Object Detection INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/82244 Turnaround time is an essential indicator for airlines to improve on-time performance and for airports to manage slots. However, turnaround time performance analysis is minimal because recording detailed activities during blockon is impractical. This research aims to develop an automated turnaround time analysis system using YOLO-based computer vision technology. The methodology involves detecting objects that perform services on aircraft during the block-on period, followed by data post-processing to generate performance reports displayed in dashboards. This research resulted in a system capable of automatically collecting data and analyzing activities on the apron, which was then used for round-time performance evaluation. The results of this analysis help the airport optimize slot management and, for airlines, can help improve on-time performance. text |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Benedict Oliver Brata, Hoo, DEVELOPMENT OF AUTOMATIC TURNAROUND TIME ANALYSIS USING COMPUTER VISION |
description |
Turnaround time is an essential indicator for airlines to improve on-time
performance and for airports to manage slots. However, turnaround time
performance analysis is minimal because recording detailed activities during blockon
is impractical. This research aims to develop an automated turnaround time
analysis system using YOLO-based computer vision technology. The methodology
involves detecting objects that perform services on aircraft during the block-on
period, followed by data post-processing to generate performance reports displayed
in dashboards. This research resulted in a system capable of automatically
collecting data and analyzing activities on the apron, which was then used for
round-time performance evaluation. The results of this analysis help the airport
optimize slot management and, for airlines, can help improve on-time performance. |
format |
Final Project |
author |
Benedict Oliver Brata, Hoo, |
author_facet |
Benedict Oliver Brata, Hoo, |
author_sort |
Benedict Oliver Brata, Hoo, |
title |
DEVELOPMENT OF AUTOMATIC TURNAROUND TIME ANALYSIS USING COMPUTER VISION |
title_short |
DEVELOPMENT OF AUTOMATIC TURNAROUND TIME ANALYSIS USING COMPUTER VISION |
title_full |
DEVELOPMENT OF AUTOMATIC TURNAROUND TIME ANALYSIS USING COMPUTER VISION |
title_fullStr |
DEVELOPMENT OF AUTOMATIC TURNAROUND TIME ANALYSIS USING COMPUTER VISION |
title_full_unstemmed |
DEVELOPMENT OF AUTOMATIC TURNAROUND TIME ANALYSIS USING COMPUTER VISION |
title_sort |
development of automatic turnaround time analysis using computer vision |
url |
https://digilib.itb.ac.id/gdl/view/82244 |
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1822009716681736192 |