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All Journal Jurnal Jurusan Ilmu Keolahragaan ELKHA : Jurnal Teknik Elektro Journal of Software Engineering Journal of Intelligent Systems JAIS (Journal of Applied Intelligent System) JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING ILKOM Jurnal Ilmiah Musamus Journal of Primary Education Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Asean Journal of Sport for Development and Peace Indonesian Research Journal on Education Jurnal Informatika: Jurnal Pengembangan IT Scientific Journal of Informatics Sriwijaya Journal of Sport ACPES Journal of Physical Education, Sport, and Health
Catur Supriyanto
Universitas Dian Nuswantoro
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Journal : JOIV : International Journal on Informatics Visualization

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Deep Learning-based Models with YOLOv7 and Convolutional Neural Networks for Vehicle Detection and Recognition Nugroho, Wahyu Adi; Supriyanto, Catur; Safar, Noor Zuraidin Mohd
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3584

Abstract

The application of artificial intelligence (AI) technology has become prevalent across various sectors, including transportation and smart city. A key implementation of AI in this domain is traffic monitoring, often relying on license plate recognition to identify vehicles. However, this approach faces limitations when plates are obscured. To address this issue, this research explores a broader approach by recognizing general vehicle attributes, ensuring more accurate identification and comprehensive traffic statistics. The proposed solution integrates the You Only Look Once (YOLO) object detection algorithm and convolutional neural networks (CNN) pretrained models for vehicle attributes recognition. This study utilizes multiple datasets, including Roboflow Vehicle, Stanford Cars, VehicleID, and VCoR, to ensure comprehensive model evaluation. Experimental results indicate that YOLOv7 achieved a mean average precision (mAP) score of 86.1% for vehicle detection, with an average precision (AP) score of 91.5% for the car class. For vehicle make and model recognition, the lightweight EfficientNetV2S model demonstrated the highest accuracy score, achieving 89.8% and 99.2% on the Stanford Cars and VehicleID dataset, respectively. For vehicle color recognition, DenseNet201 models achieved the highest accuracy score of 87% on the VCoR dataset. These findings underscore the effectiveness of integrating YOLOv7 and CNN models for robust vehicle detection and recognition. This research provides a practical solution to the limitations of traditional license plate recognition methods, contributing to the development of more accurate and efficient traffic monitoring systems. Future studies may further optimize the framework for real-time applications and diverse traffic scenarios.
Co-Authors . Safuan, . Abdollah, Mohd. Faizal Abdul Rachman Syam Tuasikal Abu Salam Ahmed, Foez Al Fahreza, Muhammad Daffa Alamsyah, Sayyidul Aulia Amalia Amalia Amalia, Syafira Rosa Amiral, Afinzaki Andreas Wilson Setiawan Antony Eka Aditya, Antony Eka Ardytha Luthfiarta Astuti, Yani Parti Bahauddin, Muhammad Arja Bayu Satria, Zaky Indra Darmawan, Immanuel Julius Dyan Yuliana Dzaky, Azmi Abiyyu Egia Rosi Subhiyakto, Egia Rosi Erlin Dolphina Erna Sri Rahayu, Erna Sri Erwin Yudi Hidayat Etika Kartikadarma Fauzi Adi Rafrastara Fitriyani, Shelomita Gede Doddy Tisna MS Guruh Fajar Shidik Hapsari Peni Heru Agus Santoso HIMAWAN WISMANADI Hussein, Jasim Nadheer Ika Novita Dewi Junta Zeniarja Kafrawi, Fatkur Rohman Khuddus, Lutfhi Abdil Kurniawan, Defri Lin, wei Jhe Liya Umaroh, Liya Marjuni, Aris Mohammad Reza Maulana, Mohammad Reza Muchamad Arif Al Ardha Muljono Muljono Mulyanto, Edy Nining Widyah Kusnanik Nurhasan Nurhasan, Nurhasan Octaviani, Dhita Aulia Oman Somantri Paramita, Cinantya Pitaloka, Tia Amika Prabowo, Suryanto Agung Pujiono Pujiono Pulung Nurtantio Andono Purwanto Purwanto Rahadian, Arief Ramadhan Rakhmat Sani Rizka Safriyani Rizki, Ainun Zulfikar Romi Satria Wahono Rusdiawan, Afif Rustam, Suhardi Rustam, Suhardi Sabatian, G. M. Dwiko Jaya Safar, Noor Zuraidin Mohd Sindhu Rakasiwi Sudibyo, Usman Sulistyana, Caturia Sasti Swanny Trikajanti Widyaatmadja Syamsiar, Syamsiar T. Sutojo Utomo, Danang Wahyu Wahyu Adi Nugroho Wakhidah, Elfa Wahyu Wildanil Ghozi Winarsih, Nurul Anisa Sri Yang, Chung Bing Yuhantini, Eva Ferdita YUSUF FUAD