sayantansikdar/yolov9n-meter-reading
⚡️ This study enhances electric meter reading using YOLOv9, achieving high accuracy and efficiency, benefiting energy management, smart city infrastructure, and energy conservation initiatives, marking a significant technological advancement.
This project helps utility companies and energy managers automatically read electric meters from images. It takes photos of electric meters as input and extracts the numerical reading, providing it as text output. This can be used by field technicians, billing departments, or smart city infrastructure managers to improve billing accuracy and efficiency.
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Use this if you need to automate the process of reading digits from electric meter displays for billing or energy management.
Not ideal if your meters are not digital displays or if you need to read other types of utility meters like gas or water.
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12
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1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 10, 2024
Commits (30d)
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