Sample monitoring method and system based on machine vision
The invention discloses a sample monitoring method and system based on machine vision. The method comprises the following steps: acquiring a video through a camera; transmitting the acquired video to a video acquisition card through an optical transceiver; optical signals are transmitted between the...
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| creator | LYU LING CHEN JIASHENG QIAN LIUJIAN FU ZHIQIAN LU YANAN WANG YUE SONG JIJUN |
| description | The invention discloses a sample monitoring method and system based on machine vision. The method comprises the following steps: acquiring a video through a camera; transmitting the acquired video to a video acquisition card through an optical transceiver; optical signals are transmitted between the optical transceivers to resist electromagnetic interference; processing the video through a video processing subsystem; and comparing the pixel brightness average values of the current frame and the stored area, judging whether the light brightness is changed, whether the change degree exceeds a specification and whether the motion trails are consistent, if not, triggering an alarm prompt, and if yes, continuing monitoring. According to the invention, real-time monitoring and automatic alarm functions are realized, the sample monitoring efficiency and the result accuracy are improved, the working efficiency is improved, the error probability is reduced, and test monitoring personnel are liberated from heavy patrol |
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The method comprises the following steps: acquiring a video through a camera; transmitting the acquired video to a video acquisition card through an optical transceiver; optical signals are transmitted between the optical transceivers to resist electromagnetic interference; processing the video through a video processing subsystem; and comparing the pixel brightness average values of the current frame and the stored area, judging whether the light brightness is changed, whether the change degree exceeds a specification and whether the motion trails are consistent, if not, triggering an alarm prompt, and if yes, continuing monitoring. According to the invention, real-time monitoring and automatic alarm functions are realized, the sample monitoring efficiency and the result accuracy are improved, the working efficiency is improved, the error probability is reduced, and test monitoring personnel are liberated from heavy patrol</description><language>chi ; eng</language><subject>ALARM SYSTEMS ; CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; ORDER TELEGRAPHS ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION ; SIGNALLING ; SIGNALLING OR CALLING SYSTEMS</subject><creationdate>2023</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=20230905&DB=EPODOC&CC=CN&NR=116708724A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230905&DB=EPODOC&CC=CN&NR=116708724A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LYU LING</creatorcontrib><creatorcontrib>CHEN JIASHENG</creatorcontrib><creatorcontrib>QIAN LIUJIAN</creatorcontrib><creatorcontrib>FU ZHIQIAN</creatorcontrib><creatorcontrib>LU YANAN</creatorcontrib><creatorcontrib>WANG YUE</creatorcontrib><creatorcontrib>SONG JIJUN</creatorcontrib><title>Sample monitoring method and system based on machine vision</title><description>The invention discloses a sample monitoring method and system based on machine vision. The method comprises the following steps: acquiring a video through a camera; transmitting the acquired video to a video acquisition card through an optical transceiver; optical signals are transmitted between the optical transceivers to resist electromagnetic interference; processing the video through a video processing subsystem; and comparing the pixel brightness average values of the current frame and the stored area, judging whether the light brightness is changed, whether the change degree exceeds a specification and whether the motion trails are consistent, if not, triggering an alarm prompt, and if yes, continuing monitoring. 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The method comprises the following steps: acquiring a video through a camera; transmitting the acquired video to a video acquisition card through an optical transceiver; optical signals are transmitted between the optical transceivers to resist electromagnetic interference; processing the video through a video processing subsystem; and comparing the pixel brightness average values of the current frame and the stored area, judging whether the light brightness is changed, whether the change degree exceeds a specification and whether the motion trails are consistent, if not, triggering an alarm prompt, and if yes, continuing monitoring. According to the invention, real-time monitoring and automatic alarm functions are realized, the sample monitoring efficiency and the result accuracy are improved, the working efficiency is improved, the error probability is reduced, and test monitoring personnel are liberated from heavy patrol</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ALARM SYSTEMS CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY ORDER TELEGRAPHS PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION SIGNALLING SIGNALLING OR CALLING SYSTEMS |
| title | Sample monitoring method and system based on machine vision |
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