Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO)
The research aim to recognize potential weapon threats through object detection on camera. This research utilize YOLO (You Only Look Once) method in object detection which implemented on Raspberry Pi 4. The process was by detecting object from the camera and classify the object class in 2 available...
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Universitas Andalas
2021
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oai:doaj.org-article:391ad6dfec5c4617a9511be831a0db942021-11-22T08:47:38ZKlasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO)10.25077/chipset.2.01.33-40.20212722-4422https://doaj.org/article/391ad6dfec5c4617a9511be831a0db942021-04-01T00:00:00Zhttp://chipset.fti.unand.ac.id/index.php/chipset/article/view/57https://doaj.org/toc/2722-4422 The research aim to recognize potential weapon threats through object detection on camera. This research utilize YOLO (You Only Look Once) method in object detection which implemented on Raspberry Pi 4. The process was by detecting object from the camera and classify the object class in 2 available classes : Gun and Knife. Meanwhile, in the classifying process, it also count the object in every classes. When the system detect object in the process, it will send notification in terms of threat level through android application so that the user or operator can mitigate the threat immediately. From the research, we achieve the mAP of 85.12% in which YOLOv4 tiny is used and the testing is done inside a room environment. In its application in detecting weapon in Raspberry Pi 4, the result is around 1.53 fps (frame per second), in which is accommodate to be implemented on, but with a very limited fps. Muhammad Abdul HadiRian FerdianLathifah AriefUniversitas AndalasarticleYOLO object detectionthreat level classificationmonitoringComputer softwareQA76.75-76.765Computer engineering. Computer hardwareTK7885-7895ENIDCHIPSET, Vol 2, Iss 01 (2021) |
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YOLO object detection threat level classification monitoring Computer software QA76.75-76.765 Computer engineering. Computer hardware TK7885-7895 |
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YOLO object detection threat level classification monitoring Computer software QA76.75-76.765 Computer engineering. Computer hardware TK7885-7895 Muhammad Abdul Hadi Rian Ferdian Lathifah Arief Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO) |
description |
The research aim to recognize potential weapon threats through object detection on camera. This research utilize YOLO (You Only Look Once) method in object detection which implemented on Raspberry Pi 4. The process was by detecting object from the camera and classify the object class in 2 available classes : Gun and Knife. Meanwhile, in the classifying process, it also count the object in every classes. When the system detect object in the process, it will send notification in terms of threat level through android application so that the user or operator can mitigate the threat immediately. From the research, we achieve the mAP of 85.12% in which YOLOv4 tiny is used and the testing is done inside a room environment. In its application in detecting weapon in Raspberry Pi 4, the result is around 1.53 fps (frame per second), in which is accommodate to be implemented on, but with a very limited fps.
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format |
article |
author |
Muhammad Abdul Hadi Rian Ferdian Lathifah Arief |
author_facet |
Muhammad Abdul Hadi Rian Ferdian Lathifah Arief |
author_sort |
Muhammad Abdul Hadi |
title |
Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO) |
title_short |
Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO) |
title_full |
Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO) |
title_fullStr |
Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO) |
title_full_unstemmed |
Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO) |
title_sort |
klasifikasi tingkat ancaman kriminalitas bersenjata menggunakan metode you only look once (yolo) |
publisher |
Universitas Andalas |
publishDate |
2021 |
url |
https://doaj.org/article/391ad6dfec5c4617a9511be831a0db94 |
work_keys_str_mv |
AT muhammadabdulhadi klasifikasitingkatancamankriminalitasbersenjatamenggunakanmetodeyouonlylookonceyolo AT rianferdian klasifikasitingkatancamankriminalitasbersenjatamenggunakanmetodeyouonlylookonceyolo AT lathifaharief klasifikasitingkatancamankriminalitasbersenjatamenggunakanmetodeyouonlylookonceyolo |
_version_ |
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