Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial Vehicle
Indonesia often suffers from disasters triggered by natural damage caused by human actions such as floods and landslides. The difficulty of finding victims of natural disasters is the cause of the slow process of evacuation of victims. Because the time required to perform a search is relatively long...
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| Format: | Article |
| Language: | English |
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Department of Mechanical Engineering, Faculty of Engineering, Universitas Andalas
2018-10-01
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| Series: | Metal: Jurnal Sistem Mekanik dan Termal |
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| Online Access: | https://metal.ft.unand.ac.id/index.php/metal/article/view/66 |
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| author | Zulkifli Amin Derry Meldi |
| author_facet | Zulkifli Amin Derry Meldi |
| author_sort | Zulkifli Amin |
| collection | DOAJ |
| description | Indonesia often suffers from disasters triggered by natural damage caused by human actions such as floods and landslides. The difficulty of finding victims of natural disasters is the cause of the slow process of evacuation of victims. Because the time required to perform a search is relatively long, it causes a large number of unsaved victims. The availability of camera and UAV equipment and image processing and control technologies can be used to facilitate the search for victims of natural disasters. Image processing is an image processing technique that converts the input image into another better quality image. An image processing device mounted on a UAV that can fly at a certain height can search with missions that have been entered on the software mission planner. This tool is also more accurate because it comes with a GPS that reports the coordinates of the UAV. From the tests conducted with three high variations of 5 meters, 10 meters and 15 meters, obtained an average photo of 28, 51 and 85 photos for each height respectively. This identification system works well. It is known from that detected objects can be captured images. There are differences of number images being captured in each height, this happens because the camera specification is not supporting, as well as the influence of wifi router signal is disconnected at a certain distance. The distance between the UAV and the wifi router will affect the process of detecting objects as well as image capture. |
| format | Article |
| id | doaj-art-72a7822c741243b58761a38d51be1283 |
| institution | Kabale University |
| issn | 2598-1137 2597-4483 |
| language | English |
| publishDate | 2018-10-01 |
| publisher | Department of Mechanical Engineering, Faculty of Engineering, Universitas Andalas |
| record_format | Article |
| series | Metal: Jurnal Sistem Mekanik dan Termal |
| spelling | doaj-art-72a7822c741243b58761a38d51be12832025-02-01T10:20:39ZengDepartment of Mechanical Engineering, Faculty of Engineering, Universitas AndalasMetal: Jurnal Sistem Mekanik dan Termal2598-11372597-44832018-10-0122506010.25077/metal.2.2.50-60.201832Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial VehicleZulkifli Amin0Derry Meldi1Universitas AndalasUniversitas AndalasIndonesia often suffers from disasters triggered by natural damage caused by human actions such as floods and landslides. The difficulty of finding victims of natural disasters is the cause of the slow process of evacuation of victims. Because the time required to perform a search is relatively long, it causes a large number of unsaved victims. The availability of camera and UAV equipment and image processing and control technologies can be used to facilitate the search for victims of natural disasters. Image processing is an image processing technique that converts the input image into another better quality image. An image processing device mounted on a UAV that can fly at a certain height can search with missions that have been entered on the software mission planner. This tool is also more accurate because it comes with a GPS that reports the coordinates of the UAV. From the tests conducted with three high variations of 5 meters, 10 meters and 15 meters, obtained an average photo of 28, 51 and 85 photos for each height respectively. This identification system works well. It is known from that detected objects can be captured images. There are differences of number images being captured in each height, this happens because the camera specification is not supporting, as well as the influence of wifi router signal is disconnected at a certain distance. The distance between the UAV and the wifi router will affect the process of detecting objects as well as image capture.https://metal.ft.unand.ac.id/index.php/metal/article/view/66image processing, uav, deteksi, manusia |
| spellingShingle | Zulkifli Amin Derry Meldi Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial Vehicle Metal: Jurnal Sistem Mekanik dan Termal image processing, uav, deteksi, manusia |
| title | Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial Vehicle |
| title_full | Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial Vehicle |
| title_fullStr | Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial Vehicle |
| title_full_unstemmed | Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial Vehicle |
| title_short | Pengidentifikasian dan Pencarian Manusia Berbasis Citra Menggunakan Unmanned Aerial Vehicle |
| title_sort | pengidentifikasian dan pencarian manusia berbasis citra menggunakan unmanned aerial vehicle |
| topic | image processing, uav, deteksi, manusia |
| url | https://metal.ft.unand.ac.id/index.php/metal/article/view/66 |
| work_keys_str_mv | AT zulkifliamin pengidentifikasiandanpencarianmanusiaberbasiscitramenggunakanunmannedaerialvehicle AT derrymeldi pengidentifikasiandanpencarianmanusiaberbasiscitramenggunakanunmannedaerialvehicle |