Pengembangan Kursi Roda Otonom Untuk Mengikuti Manusia Berbasis Yolov11

Sihotang, Aldi Fahmi (2025) Pengembangan Kursi Roda Otonom Untuk Mengikuti Manusia Berbasis Yolov11. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini bertujuan untuk mengembangkan sistem kendali kursi roda otonom yang dapat mengikuti pergerakan manusia secara real-time. Sistem ini mengintegrasikan algoritma deteksi objek YOLOv11 dan pelacakan gerakan tubuh menggunakan MediaPipe Pose, dengan memanfaatkan sudut pandang optimal sebagai dasar pengambilan data visual. Kamera ditempatkan pada kacamata pengguna untuk mendapatkan sudut pandang yang optimal dalam mendeteksi dan melacak pergerakan pengguna. Sistem ini dirancang agar dapat beroperasi secara nirkabel menggunakan modul ESP32, memberikan fleksibilitas dan efisiensi dalam mengendalikan pergerakan kursi roda. Pengujian dilakukan dalam lingkungan terkendali untuk memastikan keakuratan dan kecepatan deteksi serta pelacakan gerakan pengguna. Hasil penelitian menunjukkan bahwa sistem dapat mengikuti pergerakan pengguna dengan akurat dan responsif, memberikan kontribusi signifikan terhadap pengembangan teknologi mobilitas kesehatan yang lebih cerdas dan mandiri.
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The objective of this study is to develop an autonomous wheelchair control system capable of real-time trajectory tracking. The system integrates the object detection algorithm YOLOv11 and body motion tracking using MediaPipe Pose, with the optimal viewing angle serving as the basis for visual data collection. The camera is positioned on the user's glasses to ascertain the optimal viewing angle for detecting and tracking user movement. This system is designed to operate wirelessly using the ESP32 module, thereby facilitating flexibility and efficiency in controlling wheelchair movement. Testing was conducted in a controlled environment to ensure the accuracy and speed of user movement detection and tracking. The results demonstrated that the system can follow user movement with precision and responsiveness, thereby making a substantial contribution to the advancement of intelligent and independent health mobility technology.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kursi Roda Otonom, YOLOv11, MediaPipe Pose, Sudut Pandang Optimal, Deteksi Gerakan, Kendali Nirkabel, Mobilitas Kesehata, Autonomous Wheelchair, Optimal Viewing Angle, Motion Detection, Wireless Control, Health Mobility
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL152.8 Vehicles, Remotely piloted. Autonomous vehicles. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL589.2.N3 Navigation computer
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis
Depositing User:	Aldi Fahmi Sihotang
Date Deposited:	03 Feb 2025 02:07
Last Modified:	03 Feb 2025 02:07
URI:	http://repository.its.ac.id/id/eprint/117555

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