Deteksi Objek Kecelakaan Pada Kendaraan Roda Empat Menggunakan Algoritma YOLOv5
https://doi.org/10.26594/teknologi.v12i2.3260
Abstract
Kecelakaan lalulintas khususnya kendaraan roda empat merupakan insiden yang sering terjadi dan mengakibatkan banyak kerugian bagi siapa saja yang mengalaminya. CCTV adalah alat yang digunakan untuk memantau volume kendaraan tetapi tidak bisa untuk mendeteksi kecelakaan. Oleh sebab itu tujuan pada penelitian ini adalah membangun model untuk mendeteksi kecelakaaan ataupun dampak kerusakan kendaraan roda empat melalui data angle insiden dari CCTV serta pendekatan computer vision dengan you only look once (YOLO) yang dikenal sebagai algortima deteksi objek yang memiliki akurasi cukup tinggi jika dibandingkan dengan beberapa algoritma yang ada. Data yang diambil dan digunakan pada penelitian ini memiliki jumlah data latih sebanyak 1146 gambar serta data uji sebanyak 109 gambar diperoleh akurasi model dengan mAP 90,2% dan dilakukan uji data dengan input video diperoleh mAP 84% lalu pada pengujian data acak diperoleh akurasi mAP 51,5%.
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Copyright (c) 2022 Muhamad Dio Riza Pratama Dio, Bayu Priyatna, April Lia Hananto, Shofa Shofiah Hilabi
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