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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal EECCIS SMARTICS Journal Applied Information System and Management ILKOM Jurnal Ilmiah JISKa (Jurnal Informatika Sunan Kalijaga) Internet of Things and Artificial Intelligence Journal Jurnal ilmiah teknologi informasi Asia International Journal of Electrical and Intelligent Engineering
Ajib Hanani
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science

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Ball Detection in Wheeled Soccer Robot Using the YOLOv8 Model Aqza Tri Ananda HAT; Shoffin Nahwa Utama; M. Imamudin; Yunifa Miftachul Arif; Ajib Hanani
International Journal of Electrical and Intelligent Engineering Vol 1, No 2 (2025)
Publisher : Department of Electrical Engineering Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijeie.v1i2.39317

Abstract

This research designs and builds a wheeled soccer robot using YOLOv8 for real-time ball detection and distance estimation, aiming to improve efficiency in technology competitions. The system includes Arduino Uno R3, Raspberry Pi 3 model b, detection system, and navigation design. 691 ball image use as dataset that consist of 552 image as training dataset and 249 image as valid dataset. YOLOv8 demonstrated exceptional reliability in ball detection during testing, achieving an average accuracy of 100%, 100% precision, and 94% recall. Navigation testing toward the ball had an acceptable average error of 8.0466%. The results confirm that YOLOv8 is excellent for simplifying high-accuracy ball detection and distance estimation in wheeled soccer robots. Future work should consider a higher-spec Raspberry Pi, a high-resolution camera, additional sensors, and advanced systems to improve detection and obstacle avoidance (opponent robots, goal).
Co-Authors Adi, Puput Dani Prasetyo Akbar, Galuh Muhammad Iman Aqza Tri Ananda HAT Cahyo Crysdian Fachrul Kurniawan Fajar Rohman Hariri Ganis Chandra Puspitadewi Harry Soekotjo Dachlan Harry Soepandi Johan Ericka Wahyu Prakasa Karisma, Alfiana Intan Kitagawa, Akio M. Imamudin Mohammad Faisal Fajar Fadilah Mokhamad Amin Hariyadi Muhammad Faisal Muhammad Yassir Purnomo Budi Santoso Rito Putriwana Pratama Sastya Hendri Wibowo Setiawan, Dwi Risky Shoffin Nahwa Utama Shoffin Nahwa Utama Totok Chamidy Yunifa Miftachul Arif