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Research on image recognition technology for automatic verification of glass thermometer
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Zhiyuan Wang1, Yuxuan Wang2
Modern Instruments & Medical Treatment | 2025, 31(1) : 22 - 26
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Modern Instruments & Medical Treatment | 2025, 31(1): 22-26
Research on image recognition technology for automatic verification of glass thermometer
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Zhiyuan Wang1, Yuxuan Wang2
Affiliations
  • 1.Zhengzhou Product Quality Inspecting and Testing Center, Zhengzhou 450000, China
  • 2.Macau University of Science and Technology, Macau 999078, China
Published: 2025-02-10 doi: 10.11876/mimt202501004
Outline
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Objective

The legal metrological technical institutions need to carry out the inspection work of glass thermometer according to the metrological verification regulation ‘JJG111-2019 Glass thermometer’, and the workload is huge, so, it is urgent to study the automatic verification of glass thermometer.

Methods

According to the related researches of artificial intelligence in image recognition in recent years, the automatic recognition system of vitreous thermometer was constructed based on system design, image acquisition and algorithm, advantages and disadvantages of existing image recognition technology.

Results

The fast and accurate automatic reading of the glass thermometer is realized, and the model recognition accuracy was as high as 0.9640.

Conclusion

The automatic verification with image recognition solved many problems in the traditional manual verification of thermometers, and greatly improved the verification efficiency and accuracy.

Glass thermometer  /  Automatic verification  /  Image recognition  /  Algorithm optimization  /  System design  /  Feature extraction
王志远, 王语瑄. 玻璃体温计自动检定图像识别技术研究. 现代仪器与医疗, 2025 , 31 (1) : 22 -26 . DOI: 10.11876/mimt202501004
Zhiyuan Wang, Yuxuan Wang. Research on image recognition technology for automatic verification of glass thermometer[J]. Modern Instruments & Medical Treatment, 2025 , 31 (1) : 22 -26 . DOI: 10.11876/mimt202501004
Year 2025 volume 31 Issue 1
45
9
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doi: 10.11876/mimt202501004
  • Online Date:2026-10-23
  • Published:2025-02-10
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    1.Zhengzhou Product Quality Inspecting and Testing Center, Zhengzhou 450000, China
    2.Macau University of Science and Technology, Macau 999078, China
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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