Die cutting product surface defect detection method based on deep learning
The invention discloses a die-cutting product surface defect detection method based on deep learning. The method comprises the following steps: acquiring a die-cutting product surface image; inputting the surface image of the die-cutting product into the surface feature extraction network model to o...
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| creator | SUN MENGXIA BAI QIUQING |
| description | The invention discloses a die-cutting product surface defect detection method based on deep learning. The method comprises the following steps: acquiring a die-cutting product surface image; inputting the surface image of the die-cutting product into the surface feature extraction network model to obtain surface features of the die-cutting product; and inputting the surface features of the die-cut product to the surface defect detection network model for surface defect detection, and outputting a surface defect detection result. According to the invention, deep learning related technologies are applied to die-cutting product surface defect detection, a general target detection algorithm is analyzed and improved, and an improved surface defect detection network model and a surface feature extraction network model for die-cutting product surface defect detection are provided. According to the die-cutting product surface defect detection method, the die-cutting product is subjected to surface defect detection ac |
| format | Patent |
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The method comprises the following steps: acquiring a die-cutting product surface image; inputting the surface image of the die-cutting product into the surface feature extraction network model to obtain surface features of the die-cutting product; and inputting the surface features of the die-cut product to the surface defect detection network model for surface defect detection, and outputting a surface defect detection result. According to the invention, deep learning related technologies are applied to die-cutting product surface defect detection, a general target detection algorithm is analyzed and improved, and an improved surface defect detection network model and a surface feature extraction network model for die-cutting product surface defect detection are provided. According to the die-cutting product surface defect detection method, the die-cutting product is subjected to surface defect detection ac</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</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=20220830&DB=EPODOC&CC=CN&NR=114972246A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220830&DB=EPODOC&CC=CN&NR=114972246A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SUN MENGXIA</creatorcontrib><creatorcontrib>BAI QIUQING</creatorcontrib><title>Die cutting product surface defect detection method based on deep learning</title><description>The invention discloses a die-cutting product surface defect detection method based on deep learning. The method comprises the following steps: acquiring a die-cutting product surface image; inputting the surface image of the die-cutting product into the surface feature extraction network model to obtain surface features of the die-cutting product; and inputting the surface features of the die-cut product to the surface defect detection network model for surface defect detection, and outputting a surface defect detection result. According to the invention, deep learning related technologies are applied to die-cutting product surface defect detection, a general target detection algorithm is analyzed and improved, and an improved surface defect detection network model and a surface feature extraction network model for die-cutting product surface defect detection are provided. According to the die-cutting product surface defect detection method, the die-cutting product is subjected to surface defect detection ac</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPByyUxVSC4tKcnMS1coKMpPKU0uUSguLUpLTE5VSElNSwVyU1JLgFRmfp5CbmpJRn6KQlJicWqKApCfkppaoJCTmliUB9TOw8CalphTnMoLpbkZFN1cQ5w9dFML8uNTiwuAJuallsQ7-xkamliaGxmZmDkaE6MGAA4PNOg</recordid><startdate>20220830</startdate><enddate>20220830</enddate><creator>SUN MENGXIA</creator><creator>BAI QIUQING</creator><scope>EVB</scope></search><sort><creationdate>20220830</creationdate><title>Die cutting product surface defect detection method based on deep learning</title><author>SUN MENGXIA ; BAI QIUQING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114972246A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SUN MENGXIA</creatorcontrib><creatorcontrib>BAI QIUQING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SUN MENGXIA</au><au>BAI QIUQING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Die cutting product surface defect detection method based on deep learning</title><date>2022-08-30</date><risdate>2022</risdate><abstract>The invention discloses a die-cutting product surface defect detection method based on deep learning. 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Die cutting product surface defect detection method based on deep learning |
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