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.
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.
The fast and accurate automatic reading of the glass thermometer is realized, and the model recognition accuracy was as high as 0.9640.
The automatic verification with image recognition solved many problems in the traditional manual verification of thermometers, and greatly improved the verification efficiency and accuracy.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 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 |