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All Journal ELKHA : Jurnal Teknik Elektro Jurnal Pendidikan Informatika dan Sains JOURNAL OF APPLIED INFORMATICS AND COMPUTING ELIT JOURNAL Electrotechnics And Information Technology Kohesi: Jurnal Sains dan Teknologi ENTRIES
Muhammad Ridhwan Sufandi
Politeknik Negeri Pontianak
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Real-Time Arrow Detection and Scoring on Archery Targets Using YOLOv8 with Euclidean Distance-Based Zone Estimation Adam, Safri; Fitri, Novi Aryani; Bibi, Sarah; Sufandi, Muhammad Ridhwan
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11086

Abstract

The current study aims to create an automated scoring system for archery target board using computer vision technologies. As archery has develop from a traditional practice to a competitive activity, the scoring procedures have become a crucial element. While the current manual scoring procedures are fallible and can be challenging for organizers. This study offers a solution to this issue by using YOLO v8 (You Only Look Once) architecture for real- time arrow recognition and scoring. The development process consists of dataset collecting, picture pre-processing, model training and implementation using 2 photos of the target boards with arrows. The computer processes the scores by calculating the distance from the center of the arrow to the selected scoring zones using Euclidean distance. System testing established a baseline accuracy of 67%. While users noted the system's processing efficiency (speed), this accuracy level highlights significant room for improvement. The results demonstrate the potential for applying computer vision to automate the archery scoring system, while simultaneously emphasizing the critical need for advanced model performance enhancements. This study serves as a preliminary step in exploring automated sport technology, expected to contribute to future refinements of the archery scoring system.
Co-Authors Abu Bakar Arianto, Fengki Emy Fitri, Novi Aryani Ginting, Ferdinan Gunanta Hadikusuma, Mohd Ilyas Hasan Hasan Hasan Hasan Hendro Cahyono, Hendro Hidayat Srihendayana Ir. Suharto Kevin, Viery Leandro Mardianto , Eko Nanda Rusyda Saufa Neilcy Tjahja Mooniarsih Rahayu, Wiwit Indah Rianda, Rianda Safri Adam Sarah Bibi Siswanto, Lindung Sitinjak, Heinz Valtin Suryanto, Tommi Tri Bowo Atmojo widi kurniawan, adrik Wiwit Indah Rahayu Yuniarto, Wendhi Yuwono, Yohannes Chrysostomos Hendro