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All Journal Journal of Islamic Pharmacy Journal of Islamic Medicine International Journal of Informatics and Computation Jurnal Pengembangan Sistem Informasi dan Informatika J-Intech (Journal of Information and Technology) Prosiding Seminar Nasional Inovasi Teknologi Terapan Journal Of Artificial Intelligence And Software Engineering Jurnal Inovasi Teknologi Terapan Journal of Technology and Engineering
Evvin Faristasari
Politeknik Manufaktur Negeri Bangka Belitung
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Journal : International Journal of Informatics and Computation

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Vehicle Theft Detection Using YOLO Based on License Plates and Vehicle Ownership Bradika Almandin Wisesa; M. Hizbul Wathan; Evvin Faristasari; Sirlus Andreanto Jasman Duli; Silvia Agustin; Better Swengky
International Journal of Informatics and Computation Vol. 7 No. 1 (2025): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v7i1.105

Abstract

Detection of vehicle theft requires innovative approaches to address an increasing number of cases in Indonesia. This study presents a YOLOv11-based system for detecting vehicle theft by combining real-time object detection with a vehicle ownership database. The proposed system identifies license plates, detects vehicle owners using facial recognition, and analyzes suspicious activity to determine theft occurrences. The proposed method can produce model effectiveness with an accuracy = 70%. Key improvements in architecture, including enhanced feature fusion and dynamic anchor assignment, contribute to the object’s detection in complex environments. This research can be a potential technique to provide efficient, scalable, and real-time security solutions in dynamic surveillance applications.
Co-Authors Abd. Rasyid Syamsuri Ade Putra Maulana Ade Amin, Fita Avrista Vilusi Better Swengky Bradika Almandin Wisesa Daniel, Rodo Enggar Hero Istoto Fadila, Resma Hero Istoto, Enggar Indra Irawan Jasman Duli, Sirlus Andreanto Lionza, Rahmat Peprizal, Peprizal Putri, Vivin Mahat Silvia Agustin Silvia Agustin Sirlus Andreanto Jasman Duli Sukma, Shafril Muliawan Wathan, M.Hizbul Yudhi