Automatic detection of ultrasonic water meter LCD pattern elements based on ConvNeXt

Kexin Song; Xiaohui Wang; Cong Wang; Fengjuan Guo

doi:10.1117/12.3050445

24 October 2024 Automatic detection of ultrasonic water meter LCD pattern elements based on ConvNeXt

Kexin Song, Xiaohui Wang, Cong Wang, Fengjuan Guo

Author Affiliations +

Proceedings Volume 13396, Third International Conference on Image Processing, Object Detection, and Tracking (IPODT 2024); 133960B (2024) https://doi.org/10.1117/12.3050445
Event: 3rd International Conference on Image Processing, Object Detection and Tracking (IPODT24), 2024, Nanjing, China

Abstract

Liquid crystal display (LCD) screens are widely used in various types of smart meters, with ultrasonic water meters being one of their applications. The display on LCD screens is composed of various digits and icons, which are LCD pattern elements that carry significant attribute information. The current industrial inspection of LCD pattern elements often relies on manual meter reading methods, which has high labor cost and low accuracy. Therefore, In this study, the ConvNeXt model based on deep learning is used to achieve automatic detection of ultrasonic water meter LCD pattern elements. Initially, image processing techniques are utilized to segment the images, thereby extracting a dataset of independent LCD pattern elements; this dataset is input into the ConvNeXt model for training. Subsequently, a user interface is designed to visualize the detection results. The study presents an automatic detection system capable of identifying 18 types of LCD pattern elements with an accuracy rate of up to 99.94%. The ConvNeXt model demonstrates exceptional recognition precision in the automatic detection of ultrasonic water meter LCD pattern elements, indicating its significant practical value and application potential.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kexin Song, Xiaohui Wang, Cong Wang, and Fengjuan Guo "Automatic detection of ultrasonic water meter LCD pattern elements based on ConvNeXt", Proc. SPIE 13396, Third International Conference on Image Processing, Object Detection, and Tracking (IPODT 2024), 133960B (24 October 2024); https://doi.org/10.1117/12.3050445

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KEYWORDS

Liquid crystal displays

Education and training

Ultrasonics

Image processing

Visual process modeling

Image segmentation

Light sources and illumination

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