PEMBACAAN STAND KWH METER MENGGUNAKAN METODE TEMPLATE MATCHING PADA RASPBERRY PI UNTUK MEMPERMUDAH PEMANTAUAN
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Gultom, Pascal Parlindungan
Rusjdi, Darma
Jatnika, Hendra
Rusjdi, Darma
Jatnika, Hendra
Subject
Teknik Informatika
Datestamp
2022-09-21 01:33:52
Abstract :
The process of reading stand kWh meter in Indonesia is still done manually. The manual process caused several problems. Although at this time the process of reading the kWh meter has been assisted with a meter recording application, the process is still done manually. This research will develop the system by using raspberry pi as a reading system. The reading results are sent to the kWh meter stand number data storage server. The data can be seen in a website application to facilitate monitoring. The process of taking a stand kWh meter image is assisted with lighting and determining the distance of the image capture. Template matching is used as a method of character recognition of the kWh meter stand number using the largest correlation value. The results of the character recognition show the accuracy of the introduction of the kWh meter stand number that is equal to 94% of the reading of the 50kWh meter stand test images
The process of reading stand kWh meter in Indonesia is still done manually. The manual process caused several problems. Although at this time the process of reading the kWh meter has been assisted with a meter recording application, the process is still done manually. This research will develop the system by using raspberry pi as a reading system. The reading results are sent to the kWh meter stand number data storage server. The data can be seen in a website application to facilitate monitoring. The process of taking a stand kWh meter image is assisted with lighting and determining the distance of the image capture. Template matching is used as a method of character recognition of the kWh meter stand number using the largest correlation value. The results of the character recognition show the accuracy of the introduction of the kWh meter stand number that is equal to 94% of the reading of the 50kWh meter stand test images
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