BIRD DETECTION SYSTEM DESIGN AT THE AIPORT USING ARTIFICAL INTELLIGENCE
Bird strike is a procces of crashing between bird and airplane which occurs in flight phase. Based on data, there are 40 times birdstrike occurs everyday (FAA, 2019). There are lot of research that already conducted to decrese number of bird at the airport..But it isnt given significan changes. H...
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id-itb.:692702022-09-21T09:34:30ZBIRD DETECTION SYSTEM DESIGN AT THE AIPORT USING ARTIFICAL INTELLIGENCE Fadly Hidayat, Muhammad Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project Artificial intelligence, deep learning, YOLOv4, bird strike. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/69270 Bird strike is a procces of crashing between bird and airplane which occurs in flight phase. Based on data, there are 40 times birdstrike occurs everyday (FAA, 2019). There are lot of research that already conducted to decrese number of bird at the airport..But it isnt given significan changes. Hence, it is needed a model that can detect bird at the airport so that we can decrese the number of birds. Study already conducted by comparing motion detection with object detection and filter which can be used to improve detection quality. Model already developed using YOLOv4 object detection with 71.89% mean average precission.It is expected that object detection can be develop to become a bird repellent system in the future. text |
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Institut Teknologi Bandung |
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Institut Teknologi Bandung Library |
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Asia |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Indonesia |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Fadly Hidayat, Muhammad BIRD DETECTION SYSTEM DESIGN AT THE AIPORT USING ARTIFICAL INTELLIGENCE |
| description |
Bird strike is a procces of crashing between bird and airplane which occurs in
flight phase. Based on data, there are 40 times birdstrike occurs everyday (FAA, 2019).
There are lot of research that already conducted to decrese number of bird at the
airport..But it isnt given significan changes. Hence, it is needed a model that can detect
bird at the airport so that we can decrese the number of birds. Study already conducted
by comparing motion detection with object detection and filter which can be used to
improve detection quality. Model already developed using YOLOv4 object detection with
71.89% mean average precission.It is expected that object detection can be develop to
become a bird repellent system in the future. |
| format |
Final Project |
| author |
Fadly Hidayat, Muhammad |
| author_facet |
Fadly Hidayat, Muhammad |
| author_sort |
Fadly Hidayat, Muhammad |
| title |
BIRD DETECTION SYSTEM DESIGN AT THE AIPORT USING ARTIFICAL INTELLIGENCE |
| title_short |
BIRD DETECTION SYSTEM DESIGN AT THE AIPORT USING ARTIFICAL INTELLIGENCE |
| title_full |
BIRD DETECTION SYSTEM DESIGN AT THE AIPORT USING ARTIFICAL INTELLIGENCE |
| title_fullStr |
BIRD DETECTION SYSTEM DESIGN AT THE AIPORT USING ARTIFICAL INTELLIGENCE |
| title_full_unstemmed |
BIRD DETECTION SYSTEM DESIGN AT THE AIPORT USING ARTIFICAL INTELLIGENCE |
| title_sort |
bird detection system design at the aiport using artifical intelligence |
| url |
https://digilib.itb.ac.id/gdl/view/69270 |
| _version_ |
1822990977720123392 |