{"id":"https://openalex.org/W4313127358","doi":"https://doi.org/10.1109/access.2022.3228687","title":"Surface Defect Detection of Industrial Parts Based on YOLOv5","display_name":"Surface Defect Detection of Industrial Parts Based on YOLOv5","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313127358","doi":"https://doi.org/10.1109/access.2022.3228687"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3228687","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228687","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982473.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982473.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035384478","display_name":"Hai Feng Le","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Feng Le","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4588-2639","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055125525","display_name":"Lujia Zhang","orcid":"https://orcid.org/0000-0003-3566-917X"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Jia Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101508419","display_name":"Yanxia Liu","orcid":"https://orcid.org/0000-0002-2813-783X"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Xia Liu","raw_affiliation_strings":["College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2813-783X","affiliations":[{"raw_affiliation_string":"College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114234892"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.8245,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.93800046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"130784","last_page":"130794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.747016429901123},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5478739738464355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5082287788391113},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49395138025283813},{"id":"https://openalex.org/keywords/industrial-production","display_name":"Industrial production","score":0.42974743247032166},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.41012606024742126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3665691614151001},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.139369934797287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747016429901123},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5478739738464355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5082287788391113},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49395138025283813},{"id":"https://openalex.org/C82753439","wikidata":"https://www.wikidata.org/wiki/Q1419090","display_name":"Industrial production","level":2,"score":0.42974743247032166},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.41012606024742126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3665691614151001},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.139369934797287},{"id":"https://openalex.org/C165556158","wikidata":"https://www.wikidata.org/wiki/Q83937","display_name":"Keynesian economics","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3228687","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228687","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982473.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6a08153e2425434684bc0a10774b146d","is_oa":false,"landing_page_url":"https://doaj.org/article/6a08153e2425434684bc0a10774b146d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 130784-130794 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3228687","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228687","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982473.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4181839679","display_name":null,"funder_award_id":"JY2021Z002","funder_id":"https://openalex.org/F4320322664","funder_display_name":"Beijing Union University"},{"id":"https://openalex.org/G7266784932","display_name":null,"funder_award_id":"KM201911417007","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"}],"funders":[{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"},{"id":"https://openalex.org/F4320322664","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313127358.pdf","grobid_xml":"https://content.openalex.org/works/W4313127358.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2010384030","https://openalex.org/W2097117768","https://openalex.org/W2110226160","https://openalex.org/W2164448196","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2618530766","https://openalex.org/W2752782242","https://openalex.org/W2884367402","https://openalex.org/W2884585870","https://openalex.org/W2953958484","https://openalex.org/W2963857746","https://openalex.org/W2998291476","https://openalex.org/W3009635072","https://openalex.org/W3034971973","https://openalex.org/W3042011474","https://openalex.org/W3096609285","https://openalex.org/W3138516171","https://openalex.org/W3153381206","https://openalex.org/W3177052299","https://openalex.org/W3195969653","https://openalex.org/W3210586215","https://openalex.org/W4206765025","https://openalex.org/W4284664266","https://openalex.org/W4286521401","https://openalex.org/W6637373629","https://openalex.org/W6739901393","https://openalex.org/W6750227808","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2379407973","https://openalex.org/W2125195795"],"abstract_inverted_index":{"Industrial":[0],"product":[1,14],"quality":[2,19,65],"inspection,":[3],"a":[4,32],"crucial":[5,11],"procedure":[6],"in":[7,12,57,60,101,161],"industrial":[8,22,58,69,148],"production,":[9],"is":[10,30,49,95],"assuring":[13],"yield.":[15],"Product":[16],"safety":[17],"and":[18,28,36,89,110],"inspections":[20],"on":[21,47,144],"assembly":[23],"lines":[24],"are":[25,83,123],"predominantly":[26],"manual,":[27],"there":[29],"currently":[31],"dearth":[33],"of":[34,54,68,76,107,129,136,157],"safe":[35],"dependable":[37],"inspection":[38],"techniques.":[39],"An":[40],"improved":[41,176],"surface":[42,55],"defect":[43],"detection":[44,66,109,112,131,178],"approach":[45,172],"based":[46],"YOLOv5":[48],"proposed":[50,152],"for":[51,113,147],"the":[52,64,74,80,86,105,120,126,134,141,145,151,155,158],"problem":[53,128],"flaws":[56],"components":[59],"order":[61,102],"to":[62,97,103,125,132,140],"improve":[63,73,133],"effect":[67,75],"production":[70],"parts.":[71],"To":[72],"dense":[77],"object":[78],"detection,":[79],"image":[81],"features":[82,100],"extracted":[84],"by":[85,91,164],"convolutional":[87],"network":[88,153],"enhanced":[90],"coordinate":[92],"attention.":[93],"BiFPN":[94],"utilized":[96],"fuse":[98],"multi-scale":[99],"lower":[104],"rate":[106],"missed":[108],"false":[111],"small":[114],"target":[115],"samples.":[116],"The":[117],"detectors":[118],"from":[119],"Transformer":[121],"structure":[122],"added":[124],"complex":[127],"fine-grained":[130],"predictability":[135],"challenging":[137],"occurrences.":[138],"According":[139],"experimental":[142],"findings,":[143],"dataset":[146],"parts":[149],"defects,":[150],"increases":[154],"recall":[156],"original":[159],"algorithm":[160],"abnormal":[162],"classes":[163],"5.3%,":[165],"reaching":[166],"91.6%.":[167],"Its":[168],"inference":[169],"speed":[170],"can":[171],"95FPS,":[173],"indicating":[174],"an":[175],"real-time":[177],"performance.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
