Method for predicting position of artificial drifting fish collecting device or fish school
The invention discloses a method for predicting the position of an artificial drifting fish gathering device or a fish school. The method comprises the following steps: S1, acquiring a real-time screen capture image of a sea bird radar screen under the artificial drifting fish gathering device or th...
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creator | HOU QINGLIAN WAN RONG ZHOU CHENG |
description | The invention discloses a method for predicting the position of an artificial drifting fish gathering device or a fish school. The method comprises the following steps: S1, acquiring a real-time screen capture image of a sea bird radar screen under the artificial drifting fish gathering device or the fish school; s2, extracting sea bird feature data in the real-time screenshot image through a computer vision technology, and establishing a sea bird radar image feature library under an artificial drifting fish gathering device or a fish school; s3, collecting sea bird radar image data in the sea bird radar in real time; s4, checking and correcting the sea bird radar image feature library by using the sea bird radar image data; s5, establishing a machine learning model; s6, utilizing the machine learning model to evaluate the possibility of the artificial drifting fish gathering device or fish school appearance; and S7, verifying the predicted artificial fish gathering device or fish school position, if the veri |
format | Patent |
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The method comprises the following steps: S1, acquiring a real-time screen capture image of a sea bird radar screen under the artificial drifting fish gathering device or the fish school; s2, extracting sea bird feature data in the real-time screenshot image through a computer vision technology, and establishing a sea bird radar image feature library under an artificial drifting fish gathering device or a fish school; s3, collecting sea bird radar image data in the sea bird radar in real time; s4, checking and correcting the sea bird radar image feature library by using the sea bird radar image data; s5, establishing a machine learning model; s6, utilizing the machine learning model to evaluate the possibility of the artificial drifting fish gathering device or fish school appearance; and S7, verifying the predicted artificial fish gathering device or fish school position, if the veri</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, 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=20221227&DB=EPODOC&CC=CN&NR=115526930A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221227&DB=EPODOC&CC=CN&NR=115526930A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HOU QINGLIAN</creatorcontrib><creatorcontrib>WAN RONG</creatorcontrib><creatorcontrib>ZHOU CHENG</creatorcontrib><title>Method for predicting position of artificial drifting fish collecting device or fish school</title><description>The invention discloses a method for predicting the position of an artificial drifting fish gathering device or a fish school. The method comprises the following steps: S1, acquiring a real-time screen capture image of a sea bird radar screen under the artificial drifting fish gathering device or the fish school; s2, extracting sea bird feature data in the real-time screenshot image through a computer vision technology, and establishing a sea bird radar image feature library under an artificial drifting fish gathering device or a fish school; s3, collecting sea bird radar image data in the sea bird radar in real time; s4, checking and correcting the sea bird radar image feature library by using the sea bird radar image data; s5, establishing a machine learning model; s6, utilizing the machine learning model to evaluate the possibility of the artificial drifting fish gathering device or fish school appearance; and S7, verifying the predicted artificial fish gathering device or fish school position, if the veri</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDEKAjEQANNYiPqH9QEHnscJlnKc2GhlZ3GEza5ZCNmQBN-vnD7AaooZZmkeV6peHbBmSJmcYJX4hKRFqmgEZbC5CguKDeCy8OxZigfUEOjbO3oJEnwmsynoVcPaLNiGQpsfV2Z7Hu_DpaGkE5VkkSLVabi1bd_vD8dud-r-ad6Kkjud</recordid><startdate>20221227</startdate><enddate>20221227</enddate><creator>HOU QINGLIAN</creator><creator>WAN RONG</creator><creator>ZHOU CHENG</creator><scope>EVB</scope></search><sort><creationdate>20221227</creationdate><title>Method for predicting position of artificial drifting fish collecting device or fish school</title><author>HOU QINGLIAN ; WAN RONG ; ZHOU CHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115526930A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>HOU QINGLIAN</creatorcontrib><creatorcontrib>WAN RONG</creatorcontrib><creatorcontrib>ZHOU CHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HOU QINGLIAN</au><au>WAN RONG</au><au>ZHOU CHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for predicting position of artificial drifting fish collecting device or fish school</title><date>2022-12-27</date><risdate>2022</risdate><abstract>The invention discloses a method for predicting the position of an artificial drifting fish gathering device or a fish school. The method comprises the following steps: S1, acquiring a real-time screen capture image of a sea bird radar screen under the artificial drifting fish gathering device or the fish school; s2, extracting sea bird feature data in the real-time screenshot image through a computer vision technology, and establishing a sea bird radar image feature library under an artificial drifting fish gathering device or a fish school; s3, collecting sea bird radar image data in the sea bird radar in real time; s4, checking and correcting the sea bird radar image feature library by using the sea bird radar image data; s5, establishing a machine learning model; s6, utilizing the machine learning model to evaluate the possibility of the artificial drifting fish gathering device or fish school appearance; and S7, verifying the predicted artificial fish gathering device or fish school position, if the veri</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Method for predicting position of artificial drifting fish collecting device or fish school |
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