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Vehicle Waiting Time Information Service using Vehicle Object Detection at Fuel Charging Station

  • Rijayanti, Rita (Department of Information and Communication Engineering, Changwon National University) ;
  • Muhammad, Rifqi Fikri (Department of Eco friendly Offshore Plant FEED Engineering, Changwon National University) ;
  • Hwang, Mintae (Department of Information and Communication Engineering, Changwon National University)
  • Received : 2020.01.28
  • Accepted : 2020.09.03
  • Published : 2020.09.30

Abstract

In this study, we created a system that can determine the number of vehicles entering and departing a charging station in real time for solving waiting time problems during refueling. Accordingly, we use the You Only Look Once object detection algorithm to detect and count the number of vehicles in the charging station and send the data to the Firebase Realtime Database. The result is shown using an Android application that provides a map function with the Kakao Maps API at the user interface side. Our system has an accuracy of 91% and an average response time of 3.1 s. Therefore, this system can be used by drivers to determine the availability of a charging station and to identify the charging station with the least waiting time for charging their vehicle.

Keywords

References

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