Plate Motorcycle Detection Using Raspberry Pi 3

Penulis

  • Muhamaad Reza Risnaldi Telkom University
  • Ridha Muldina Negara Telkom University
  • Nyoman Bogi Aditya Karna Telkom University

Abstrak

A motorized vehicle, whether it’s a motorbike or a car, is a means of trans- portation that is very important for humans today. , Amans is a mini IoT that regulates the limits for motorized vehicles Amans is a technology based on Raspberry pi 3 that can support a city to become a smart city. Amans uses the Deep Neural Network (DNN) system as its algorithm so that Amans can detect and copy letters and numbers on a motorized vehicle plate Amans can detect motorized vehicle plates accurately using either the camera in real time or image media. The level of accuracy of Amans is quite good at 76.6% of the trial success rate. Keywords: Raspberry pi, DNN, Vehicle, Pedestrian, IoT, Safely, sidewalk

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Diterbitkan

2020-08-01

Terbitan

Bagian

Program Studi S1 Teknik Telekomunikasi