Hospital infection early warning system based on image recognition
The invention provides a hospital infection early warning system based on image recognition. The hospital infection early warning system comprises an AI camera, an image recognition training platform, a hospital infection data server and a user terminal. The image recognition training platform train...
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| creator | ZHANG JUNCHENG MAO YONGQUAN QI KEFEI LU XIAOCHEN |
| description | The invention provides a hospital infection early warning system based on image recognition. The hospital infection early warning system comprises an AI camera, an image recognition training platform, a hospital infection data server and a user terminal. The image recognition training platform trains a hospital infection recognition model and issues the hospital infection recognition model to the AI camera; the AI camera monitors hospital infection behaviors of a pre-examination triage table, a fever outpatient service, an isolation inpatient area, a PCR laboratory and a medical waste room in real time, wherein the hospital infection behaviors include abnormal body temperature, no wearing of a mask, no wearing of an N95 mask, no wearing of protective clothing, no wearing of isolation clothing, leaving of medical staff, non-standard passing, removal of the protective clothing, non-closing of a medical waste door and non-closing of a medical waste garbage can cover; the hospital infection data server pushes the |
| format | Patent |
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The hospital infection early warning system comprises an AI camera, an image recognition training platform, a hospital infection data server and a user terminal. The image recognition training platform trains a hospital infection recognition model and issues the hospital infection recognition model to the AI camera; the AI camera monitors hospital infection behaviors of a pre-examination triage table, a fever outpatient service, an isolation inpatient area, a PCR laboratory and a medical waste room in real time, wherein the hospital infection behaviors include abnormal body temperature, no wearing of a mask, no wearing of an N95 mask, no wearing of protective clothing, no wearing of isolation clothing, leaving of medical staff, non-standard passing, removal of the protective clothing, non-closing of a medical waste door and non-closing of a medical waste garbage can cover; the hospital infection data server pushes the</description><language>chi ; eng</language><subject>CALCULATING ; COLORIMETRY ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT,POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED,VISIBLE OR ULTRA-VIOLET LIGHT ; MEASURING ; MEASURING QUANTITY OF HEAT ; MEASURING TEMPERATURE ; PHYSICS ; PRESENTATION OF DATA ; RADIATION PYROMETRY ; RECOGNITION OF DATA ; RECORD CARRIERS ; TESTING ; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220315&DB=EPODOC&CC=CN&NR=114187645A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25565,76548</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220315&DB=EPODOC&CC=CN&NR=114187645A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG JUNCHENG</creatorcontrib><creatorcontrib>MAO YONGQUAN</creatorcontrib><creatorcontrib>QI KEFEI</creatorcontrib><creatorcontrib>LU XIAOCHEN</creatorcontrib><title>Hospital infection early warning system based on image recognition</title><description>The invention provides a hospital infection early warning system based on image recognition. 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The image recognition training platform trains a hospital infection recognition model and issues the hospital infection recognition model to the AI camera; the AI camera monitors hospital infection behaviors of a pre-examination triage table, a fever outpatient service, an isolation inpatient area, a PCR laboratory and a medical waste room in real time, wherein the hospital infection behaviors include abnormal body temperature, no wearing of a mask, no wearing of an N95 mask, no wearing of protective clothing, no wearing of isolation clothing, leaving of medical staff, non-standard passing, removal of the protective clothing, non-closing of a medical waste door and non-closing of a medical waste garbage can cover; the hospital infection data server pushes the</description><subject>CALCULATING</subject><subject>COLORIMETRY</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT,POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED,VISIBLE OR ULTRA-VIOLET LIGHT</subject><subject>MEASURING</subject><subject>MEASURING QUANTITY OF HEAT</subject><subject>MEASURING TEMPERATURE</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RADIATION PYROMETRY</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>TESTING</subject><subject>THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDyyC8uyCxJzFHIzEtLTS7JzM9TSE0syqlUKE8sysvMS1coriwuSc1VSEosTk1RAMpm5iampyoUpSbnp-dlgtTzMLCmJeYUp_JCaW4GRTfXEGcP3dSC_PjU4oLE5NS81JJ4Zz9DQxNDC3MzE1NHY2LUAABsfTJu</recordid><startdate>20220315</startdate><enddate>20220315</enddate><creator>ZHANG JUNCHENG</creator><creator>MAO YONGQUAN</creator><creator>QI KEFEI</creator><creator>LU XIAOCHEN</creator><scope>EVB</scope></search><sort><creationdate>20220315</creationdate><title>Hospital infection early warning system based on image recognition</title><author>ZHANG JUNCHENG ; MAO YONGQUAN ; QI KEFEI ; LU XIAOCHEN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114187645A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COLORIMETRY</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT,POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED,VISIBLE OR ULTRA-VIOLET LIGHT</topic><topic>MEASURING</topic><topic>MEASURING QUANTITY OF HEAT</topic><topic>MEASURING TEMPERATURE</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RADIATION PYROMETRY</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>TESTING</topic><topic>THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG JUNCHENG</creatorcontrib><creatorcontrib>MAO YONGQUAN</creatorcontrib><creatorcontrib>QI KEFEI</creatorcontrib><creatorcontrib>LU XIAOCHEN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG JUNCHENG</au><au>MAO YONGQUAN</au><au>QI KEFEI</au><au>LU XIAOCHEN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Hospital infection early warning system based on image recognition</title><date>2022-03-15</date><risdate>2022</risdate><abstract>The invention provides a hospital infection early warning system based on image recognition. 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| language | chi ; eng |
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| subjects | CALCULATING COLORIMETRY COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT,POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED,VISIBLE OR ULTRA-VIOLET LIGHT MEASURING MEASURING QUANTITY OF HEAT MEASURING TEMPERATURE PHYSICS PRESENTATION OF DATA RADIATION PYROMETRY RECOGNITION OF DATA RECORD CARRIERS TESTING THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR |
| title | Hospital infection early warning system based on image recognition |
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