Pembuatan Modul Deteksi Objek Manusia Menggunakan Metode YOLO Untuk Mobile Robot

Khairunnas, FNU (2021) Pembuatan Modul Deteksi Objek Manusia Menggunakan Metode YOLO Untuk Mobile Robot. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Robot mobil saat ini sangat diminati bagi yang baru mulai mempelajari tentang robot. Hal ini karena membuat mobile robot tidak memerlukan kerja fisik yang berat. Pengembangan yang dilakukan oleh beberapa anak bangsa untuk mengembangkan mobile robot ini untuk beberapa fungsi, diantaranya ada robot pengikut garis (Line follower) atau robot pengikut dinding (wall fllower) ataupun pengikut cahaya. Dari pengembangan tersebut hal yang perlu dikembangkan lagi adalah fungsi mobile robot pengikut manusia. Dalam fungsi ini robot mobil harus dapat mengenali objek “Manusia” untuk dapat mengikuti objek (manusia) tersebut. Pada tugas akhir ini akan dikembangkan sebuah sistem mobile robot pengikut manusia untuk dapat mengikuti manusia sebagai asisten yang dapat membantu pekerjaan manusia. Dengan sensor kamera serta menggunakan motode YOLO (You Only Look Once), robot mobil akan dapat mengenali objek manusia dan di klasifikasikan fungsinya. Dari hasil klasifikasi ini, diharapkan menghasilkan respon oleh robot mobile dan akan mengaktifkan aktuator pada mobile robot tersebut.
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Mobile robot are currently in great demand for those who are just starting to learn about robots. It hapens because creating a mobile robot does not require heavy physical work. Development carried out by some of the nation’s young to develop mobile robot for several functions, including a line follower or a wall follower or light follower robot. From this development, what needs to be further developed is the function of the human follower mobile robot. In this function the mobile robot must be able to recognize the ”Human” object to be able to follow the object. This final project will be developed a human follower robot mobile system to be able to follow humans as an assistant who can help human work. With the camera sensor and using the YOLO (You Only Look Once) method, the mobile robot will be able to recognize human objects and classify their functions. From the results of this classification, it is expected that the mobile robot will produce a response and will activate the actuator on the mobile robot. Keywords—Identification, Mobile robot, You Only Look Once (YOLO), Convolutional neural network (CNN)

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kata Kunci— Identifikasi, Mobile robot, You Only Look Once (YOLO), Convolutional neural network (CNN). Keywords—Identification, Mobile robot, You Only Look Once (YOLO), Convolutional neural network (CNN)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science. EDP Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science) R Medicine > R Medicine (General) > R858 Deep Learning
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis
Depositing User:	Khairunnas Khairunnas
Date Deposited:	10 Mar 2021 02:37
Last Modified:	10 Mar 2021 02:37
URI:	http://repository.its.ac.id/id/eprint/83919

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