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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| Format: | Final Project |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/82244 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | 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. |
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