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This is a Experimental Study study.

October 20, 2025TelematikaOpen Access

Improving the Efficiency of Water Meter Reading at Perumdam Tirta Kerta Raharja Using Microcontroller-Based Implementation of the YOLOv9 Method

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The automated system improved water meter reading efficiency, achieving 99.91% accuracy and 91.16% average precision.
Evaluation of the model showed the best performance with a 20-epoch configuration, indicating its effectiveness under various conditions.
Using a microcontroller and YOLOv9, the setup successfully detects numbers in real-time, with high accuracy on a Raspberry Pi platform.
Further optimization may be required for the model to better handle the Background class in practical applications.

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This research demonstrates improved efficiency and accuracy in water meter reading using YOLOv9, indicating a shift towards automation.

Putra et al. (2025) studied this question.

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