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Journal : TEKNIK

Peningkatan Akurasi Penghitungan Jumlah Kendaraan dengan Membangkitkan Urutan Identitas Deteksi Berbasis Yolov4 Deep Neural Networks Rofii, Faqih; Priyandoko, Gigih; Fanani, Muhammad Ifan; Suraji, Aji
TEKNIK Vol. 42, No. 2 (2021): August 2021
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v42i2.37019

Abstract

Models for vehicle detection, classification, and counting based on computer vision and artificial intelligence are constantly evolving. In this study, we present the Yolov4-based vehicle detection, classification, and counting model approach. The number of vehicles was calculated by generating the serial number of the identity of each vehicle. The object is detected and classified, marked by the display of bounding boxes, classes, and confidence scores. The system input is a video dataset that considers the camera position, light intensity, and vehicle traffic density. The method has counted the number of vehicles: cars, motorcycles, buses, and trucks. Evaluation of model performance is based on accuracy, precision, and total recall of the confusion matrix. The results of the dataset test and the calculation of the model performance parameters had obtained the best accuracy, precision. Total recall values when the model testing was carried out during the day where the camera position was at the height of 6 m and the loss of 500 was 83%, 93%, and 94%. Meanwhile, the lowest total accuracy, precision, and recall were obtained when the model was tested at night. The camera position was at the height of 1.5 m, and 900 losses were 68%, 77%, and 78%.
Co-Authors Abu Bakar, Afarulrazi Bin Adya Hermawati Agatha Korina Intaningtyas Anggarin Anggarin Agus Tugas Sujianto Ahmad Desma Syahputra Ahmad Rusli Wahyu Setiawan Aji Suraji Alvin Dio Nugraha Ananda Setia Wardana Andreas, Alfrino Ardiansyah Setiawan Arifin, Muhamad Arifin Prastyono Arnaz Asa Sholeh Aviv Yuniar Rahman Biaz Surya Prakasa bin Abdullah, Khairul Annuar Bisa, Fransiskus Budaya, Gilang Anggit Choi Kah Wei Dedi Usman Effendy Dedy Usman Effendi Dedy Usman Effendy Dettha Restya Utami Diana, Nor Farisha Diky Siswanto Diky Siswanto Siswanto Effendi, Dedy Usman Efistein Naga Elko Prayoga Elroy, Sebastian Jody Eska Riski Naufal Fachrudin Hunaini Fajarianto, Otto Fanani, Muhammad Ifan Faqih Rofii Farid Yanuar Fauzi, Riza Ferena Ayu Novita Puspitarini Fikri Dio Zakaria Firman Nurdiyansyah Frida Dwi Anggraeni Gatot Soebiyakto Ghaniy Raharja Grace Januaria Taolin Dirma Hadisujoto, Ignatius Budi Hermawan Suprayogi Hunaini, Fachrudin Husein Romadhoni Ignatius Budi Hadisujoto Irani, Andryas Doni Istiadi Istiadi Istiadi Ivana Tri Mulyani Boboy Kurniawan, Tedi Kushendarsyah Saptaji Laily Ainur Rofiqoh Lilik Hardiana Louis Ola Koten M.S. Hendriyawan Achmad Ming, Tan Yee Mohamad Mukhsim Mohammad Mukhsim Mohd Rahim, Mohd Shafry Mohd Soffie, Saffirna Mokhammad Saddam Yusuf Muchamad Lukman Fauzi Muhamad Rusydi Roslan Muhammad Ilman Nur Sasongko Mukhsim, Mohammad Muktiyanto, Robby Nada Zuhriyah Naga, Efistein Nanda Budiarta Sabela Nanda, Nanda Bagus Setiawan Naufal, Eska Riski Naufal, Eska Rizqi Octaviani Mustikawaty Ponciano Hipolito Pradana, Muhammad Rangga Adi Purbo Suwandono Rayana Jaka Surya Reihan Nur Ramdhan Riska Suryanti Putri Riska Tea Ayu Cindy Mavia Sabar Setiawidayat Sabar Setiawidayat, Sabar Saffirna Mohd Soffie Salimin, Suriana Setiawati, Santa Sholeh, Arnaz Asa Sigit Tri Wicaksono Sitti Wuryan Romdania Suryasa, I Nyoman Tan Siew Fun Tan Siew Fun Tedi Kurniawan Tsabitah Rahmawati Ubaidillah Ubaidillah Wahju Wulandari Wahyu Mulyo Utomo Wahyu Siti Ulam Sari Wawang Aditya Dwi Laksana Wei, Choi Kah Widjonarko . Widyarto, Setyawan Yuni Agung Nugroho Zakaria, Risman