Blood collection tube aluminum foil cap state identification method, device, equipment and medium
The invention discloses a blood collection tube aluminum foil cap state recognition method and device, equipment and a medium, and relates to the technical field of image recognition. The method comprises the steps that the position of a blood collection tube is monitored, and an original image of t...
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| creator | SUN QIANPENG DUAN YIRUI HOU JIANPING WANG CHI ZHAO WANLI LIU CONG WANG CHAO TONG JIANAN LI HUABIN |
| description | The invention discloses a blood collection tube aluminum foil cap state recognition method and device, equipment and a medium, and relates to the technical field of image recognition. The method comprises the steps that the position of a blood collection tube is monitored, and an original image of the blood collection tube is collected when the position of the blood collection tube reaches a target detection position; processing the original image by using a preset machine vision algorithm to obtain a first tube opening aluminum foil cap image of the blood collection tube; and performing normalization processing on the first orifice aluminum foil cap image, and then inputting the normalized first orifice aluminum foil cap image into a pre-constructed lightweight deep learning classification network model so as to determine the state of the aluminum foil cap of the blood collection tube by using an identification result output by the lightweight deep learning classification network model. According to the tech |
| format | Patent |
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The method comprises the steps that the position of a blood collection tube is monitored, and an original image of the blood collection tube is collected when the position of the blood collection tube reaches a target detection position; processing the original image by using a preset machine vision algorithm to obtain a first tube opening aluminum foil cap image of the blood collection tube; and performing normalization processing on the first orifice aluminum foil cap image, and then inputting the normalized first orifice aluminum foil cap image into a pre-constructed lightweight deep learning classification network model so as to determine the state of the aluminum foil cap of the blood collection tube by using an identification result output by the lightweight deep learning classification network model. 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The method comprises the steps that the position of a blood collection tube is monitored, and an original image of the blood collection tube is collected when the position of the blood collection tube reaches a target detection position; processing the original image by using a preset machine vision algorithm to obtain a first tube opening aluminum foil cap image of the blood collection tube; and performing normalization processing on the first orifice aluminum foil cap image, and then inputting the normalized first orifice aluminum foil cap image into a pre-constructed lightweight deep learning classification network model so as to determine the state of the aluminum foil cap of the blood collection tube by using an identification result output by the lightweight deep learning classification network model. According to the tech</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEKwkAQRuE0FqLeYewjGEQhpQbFyso-jLt_cGB3ZyWznt8gHsDqFe-bV3wKqp6chgBnoomsPEAcSpRUIg0qgRxnGo0NJB7JZBDHXxthT_U1ebzFoSa8iuQ4EeLkp-ulxGU1GziMWP26qNaX8727bpC1x5jZIcH67tY0-7bdbw_NcfeP-QAHtz2k</recordid><startdate>20230421</startdate><enddate>20230421</enddate><creator>SUN QIANPENG</creator><creator>DUAN YIRUI</creator><creator>HOU JIANPING</creator><creator>WANG CHI</creator><creator>ZHAO WANLI</creator><creator>LIU CONG</creator><creator>WANG CHAO</creator><creator>TONG JIANAN</creator><creator>LI HUABIN</creator><scope>EVB</scope></search><sort><creationdate>20230421</creationdate><title>Blood collection tube aluminum foil cap state identification method, device, equipment and medium</title><author>SUN QIANPENG ; DUAN YIRUI ; HOU JIANPING ; WANG CHI ; ZHAO WANLI ; LIU CONG ; WANG CHAO ; TONG JIANAN ; LI HUABIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115995061A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SUN QIANPENG</creatorcontrib><creatorcontrib>DUAN YIRUI</creatorcontrib><creatorcontrib>HOU JIANPING</creatorcontrib><creatorcontrib>WANG CHI</creatorcontrib><creatorcontrib>ZHAO WANLI</creatorcontrib><creatorcontrib>LIU CONG</creatorcontrib><creatorcontrib>WANG CHAO</creatorcontrib><creatorcontrib>TONG JIANAN</creatorcontrib><creatorcontrib>LI HUABIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SUN QIANPENG</au><au>DUAN YIRUI</au><au>HOU JIANPING</au><au>WANG CHI</au><au>ZHAO WANLI</au><au>LIU CONG</au><au>WANG CHAO</au><au>TONG JIANAN</au><au>LI HUABIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Blood collection tube aluminum foil cap state identification method, device, equipment and medium</title><date>2023-04-21</date><risdate>2023</risdate><abstract>The invention discloses a blood collection tube aluminum foil cap state recognition method and device, equipment and a medium, and relates to the technical field of image recognition. The method comprises the steps that the position of a blood collection tube is monitored, and an original image of the blood collection tube is collected when the position of the blood collection tube reaches a target detection position; processing the original image by using a preset machine vision algorithm to obtain a first tube opening aluminum foil cap image of the blood collection tube; and performing normalization processing on the first orifice aluminum foil cap image, and then inputting the normalized first orifice aluminum foil cap image into a pre-constructed lightweight deep learning classification network model so as to determine the state of the aluminum foil cap of the blood collection tube by using an identification result output by the lightweight deep learning classification network model. According to the tech</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
| title | Blood collection tube aluminum foil cap state identification method, device, equipment and medium |
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