RANCANG BANGUN SISTEM ELEKTRONIK TILANG GANJIL GENAP BEBASIS RASPBERRY PI MENGGUNAKAN ALGORITMA YOLO

LAKSANA, ISTHIKA DRAWINA PUTRI (2020) RANCANG BANGUN SISTEM ELEKTRONIK TILANG GANJIL GENAP BEBASIS RASPBERRY PI MENGGUNAKAN ALGORITMA YOLO. S1-Sarjana thesis, Universitas Mercu Buana Jakarta.

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Abstract

Activities on a highway that involve vehicles often have congestion problems due to the density of the quantity of vehicles that are on the highway. In addition, there are also problems of order and violation, the use of lanes that are not in place, such as vehicles entering the lane that are not intended for the vehicle. Therefore, researchers designed a vehicle detection application in real-time using the YOLO (You Only Look Once) method. Analysis carried out using a total of 1000 datasets, 1 class, and 50 epoch. The training process is carried out up to 4,000 steps, and the storage of checkpoints to protobuf file forms is carried out at steps 200, 400, 600, 800, 1,000, 1,200, 1,400, 1,600, 1,800 and 2,000 Bounding box successfully detects and classifies objects correctly. This test is done using a USB camera Keywords: YOLO (you only see once), real time, bounding box Aktivitas di jalan raya yang melibatkan kendaraan seringkali terdapat masalah kemacetan akibat memadatnya kuantitas kendaraan yang berada di jalan raya. Selain itu, ada pula masalah ketertiban dan pelanggarannya, penggunaan jalur yang tidak pada tempatnya, misalnya seperti kendaraan yang masuk ke jalur yang tidak diperuntukkan bagi kendaraan tersebut. Oleh sebab itu, peneliti merancang sebuah aplikasi deteksi kendaraan secara real-time menggunakan metode YOLO (You Only Look Once). Analisa yang dilakukan menggunakan jumlah dataset sebanyak 1000, 1 kelas, dan 50 epoch. Proses pelatihan dilakukan hingga 4.000 step, dan penyimpanan checkpoint ke bentuk protobuf file dilakukan pada step 200, 400, 600, 800, 1.000, 1.200, 1.400, 1.600, 1.800 dan 2.000 Bounding box berhasil mendeteksi dan mengklasifikasi objek secara tepat. Pengujian ini dilakukan menggunakan usb camera Kata kunci: YOLO (you only look once), real time, bounding box, Raspberry Pi

Item Type: Thesis (S1-Sarjana)
Call Number: ST/14/20/067
NIM: 41416010017
Uncontrolled Keywords: YOLO (you only look once), real time, bounding box, Raspberry Pi
Subjects: 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan
600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan
600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan > 621.3 Electrical Engineering, Lighting, Superconductivity, Magnetic Engineering, Applied Optics, Paraphotic Technology, Electronics Communications Engineering, Computers/Teknik Elektro, Pencahayaan, Superkonduktivitas, Teknik Magnetik, Optik Terapan, Tekn
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: Virda Syifa
Date Deposited: 22 Feb 2021 03:02
Last Modified: 22 Feb 2021 03:02
URI: http://repository.mercubuana.ac.id/id/eprint/54263

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