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A magnetometer smart parking sensor: A new model design

In big cities, parking has become a crucial issue with the increasing number of vehicles and the tighter parking area. Manual parking arrangement and poor parking management cause traffic congestion, chaos, and crime. Drivers frequently get confused in finding out an Off-Street parking area. The dri...

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Bibliographic Details
Main Authors: Iswahyudi, Catur, Firman, Beny, Lestari, Uning
Format: Conference Proceeding
Language:English
Subjects:
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Summary:In big cities, parking has become a crucial issue with the increasing number of vehicles and the tighter parking area. Manual parking arrangement and poor parking management cause traffic congestion, chaos, and crime. Drivers frequently get confused in finding out an Off-Street parking area. The drivers have no information about the availability of the parking area in real time. The drivers know the availability of the parking space when they directly arrive in the area. This matter is considered a waste of time and fuel. Therefore, it is necessary to create a parking management system that is supported by Internet of Things (IoT) technology so that parking arrangement and management becomes more efficient. In this study, a four-wheeled vehicle detection system was made using a Magnetometer sensor that would read the value of the magnetic field strength around the sensor and would detect the presence of a four-wheeled vehicle object that would pass above the sensor. This sensor technology was collaborated with IoT technology as a system for monitoring the availability of parking areas. An HMC-5883L Magnetometer Sensor was used to access cardinal directions using a combination of MEMS magnetometer in the x, y, and z directions of the sensor to direct a robot towards the bearing angle and set it as a compass set point that was used for the navigation process. The test results showed that the detection system has succeeded in measuring the magnetization of magnetic materials such as ferromagnetic found in four-wheeled vehicles and the accuracy system reached 100%.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0120317