PENGENALAN KATA DALAM BAHASA ISYARAT INDONESIA (BISINDO) SECARA REAL-TIME MENGGUNAKAN METODE YOU ONLY LOOK ONCE (YOLOv5)

HUTAURUK, JULIA SHAKIRA PRATIWI and Fachrurrozi, Muhammad and Primanita, Anggina (2023) PENGENALAN KATA DALAM BAHASA ISYARAT INDONESIA (BISINDO) SECARA REAL-TIME MENGGUNAKAN METODE YOU ONLY LOOK ONCE (YOLOv5). Undergraduate thesis, Sriwijaya University.

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Abstract

Fire disasters that can occur suddenly can affect victims who do not have the ability to hear, so victims use sign language to communicate with firefighters. Limited communication between firefighters and victims will require a lot of time in evacuating victims. With these emergency conditions, researchers developed software to recognize Katas in Indonesian Sign Language (BISINDO) in real-time using the YOLOv5, which is a deep learning-based object recognition method to facilitate officers in carrying out the evacuation process. The software was built using 9 combinations of epoch and batch size, namely batch size 16 epoch 50, batch size 24 epoch 50, batch size 32 epoch 50, batch size 16 epoch 250, batch size 24 epoch 250, batch size 32 epoch 250, batch size 16 epoch 500, batch size 24 epoch 500, batch size 24 epoch 500. The testing process is carried out in nonrealtime with object input testing data and real-time using a webcam camera. The best accuracy result is 88.9% in nonrealtime testing with a combination of batch size 32 epoch 500. The real-time testing process obtained the best average accuracy of 86% and an average response time of 0.104s with a combination of batch size 32 epoch 500

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	BISINDO, Pengenalan Bahasa Isyarat, YOLOv5, Real-Time
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) > T11 General works > T11.5 Translating T Technology > T Technology (General) > T10.5-11.9 Communication of technical information > T11 General works > T11.5 Translating T Technology > T Technology (General) > T10.5-11.9 Communication of technical information > T11.5 Translating
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Julia Shakira Pratiwi Hutauruk
Date Deposited:	25 Jul 2023 01:59
Last Modified:	25 Jul 2023 01:59
URI:	http://repository.unsri.ac.id/id/eprint/120117

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