{"id":"https://openalex.org/W3014536880","doi":"https://doi.org/10.1109/access.2020.2984539","title":"Detecting Defects With Support Vector Machine in Logistics Packaging Boxes for Edge Computing","display_name":"Detecting Defects With Support Vector Machine in Logistics Packaging Boxes for Edge Computing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3014536880","doi":"https://doi.org/10.1109/access.2020.2984539","mag":"3014536880"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2984539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09051700.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/ielx7/6287639/8948470/09051700.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100613759","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0003-3568-8071"},"institutions":[{"id":"https://openalex.org/I176432857","display_name":"Beijing Wuzi University","ror":"https://ror.org/00bd1d647","country_code":"CN","type":"education","lineage":["https://openalex.org/I176432857"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Yang","raw_affiliation_strings":["Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","School of Information, Beijing Wuzi University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3568-8071","affiliations":[{"raw_affiliation_string":"Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Beijing Wuzi University, Beijing, China","institution_ids":["https://openalex.org/I176432857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012054437","display_name":"Mingrui Han","orcid":"https://orcid.org/0000-0001-8027-9723"},"institutions":[{"id":"https://openalex.org/I176432857","display_name":"Beijing Wuzi University","ror":"https://ror.org/00bd1d647","country_code":"CN","type":"education","lineage":["https://openalex.org/I176432857"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrui Han","raw_affiliation_strings":["Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","School of Information, Beijing Wuzi University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8027-9723","affiliations":[{"raw_affiliation_string":"Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Beijing Wuzi University, Beijing, China","institution_ids":["https://openalex.org/I176432857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055567445","display_name":"Hengliang Tang","orcid":"https://orcid.org/0000-0001-6747-2369"},"institutions":[{"id":"https://openalex.org/I176432857","display_name":"Beijing Wuzi University","ror":"https://ror.org/00bd1d647","country_code":"CN","type":"education","lineage":["https://openalex.org/I176432857"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengliang Tang","raw_affiliation_strings":["Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","School of Information, Beijing Wuzi University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6747-2369","affiliations":[{"raw_affiliation_string":"Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Beijing Wuzi University, Beijing, China","institution_ids":["https://openalex.org/I176432857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100776260","display_name":"Qian Li","orcid":"https://orcid.org/0000-0002-7415-9554"},"institutions":[{"id":"https://openalex.org/I176432857","display_name":"Beijing Wuzi University","ror":"https://ror.org/00bd1d647","country_code":"CN","type":"education","lineage":["https://openalex.org/I176432857"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","School of Information, Beijing Wuzi University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7415-9554","affiliations":[{"raw_affiliation_string":"Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information, Beijing Wuzi University, Beijing, China","institution_ids":["https://openalex.org/I176432857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070952629","display_name":"Xiong Luo","orcid":"https://orcid.org/0000-0002-1929-8447"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong Luo","raw_affiliation_strings":["Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1929-8447","affiliations":[{"raw_affiliation_string":"Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100613759"],"corresponding_institution_ids":["https://openalex.org/I176432857"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.0706,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.9212743,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"64002","last_page":"64010"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9829999804496765,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9805999994277954,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7557218670845032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7556519508361816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6053684949874878},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.5161091089248657},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5116655826568604},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4781026244163513},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4599238336086273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.434159517288208},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42343032360076904},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4230445623397827},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42181020975112915},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.42023801803588867},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2855818569660187},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23469221591949463}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7557218670845032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7556519508361816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6053684949874878},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.5161091089248657},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5116655826568604},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4781026244163513},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4599238336086273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.434159517288208},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42343032360076904},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4230445623397827},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42181020975112915},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.42023801803588867},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2855818569660187},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23469221591949463}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2984539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09051700.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:52f33f4a647c41fab0439343c8b9e64a","is_oa":true,"landing_page_url":"https://doaj.org/article/52f33f4a647c41fab0439343c8b9e64a","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 64002-64010 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2984539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09051700.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":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2024381770","display_name":null,"funder_award_id":"2018YFC0808306","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3071301546","display_name":null,"funder_award_id":"2019B020214002","funder_id":"https://openalex.org/F4320336562","funder_display_name":"Beijing Intelligent Logistics System Collaborative Innovation Center"},{"id":"https://openalex.org/G3143089150","display_name":null,"funder_award_id":"BILSCIC-2019KF-08","funder_id":"https://openalex.org/F4320336562","funder_display_name":"Beijing Intelligent Logistics System Collaborative Innovation Center"},{"id":"https://openalex.org/G3296745726","display_name":null,"funder_award_id":"19L2029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7066448570","display_name":null,"funder_award_id":"FRF-BD-19-012A","funder_id":"https://openalex.org/F4320325365","funder_display_name":"University of Science and Technology Beijing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325365","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336562","display_name":"Beijing Intelligent Logistics System Collaborative Innovation Center","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014536880.pdf","grobid_xml":"https://content.openalex.org/works/W3014536880.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W421957239","https://openalex.org/W1992181517","https://openalex.org/W1994930030","https://openalex.org/W2035132478","https://openalex.org/W2076860189","https://openalex.org/W2118204524","https://openalex.org/W2745580126","https://openalex.org/W2746865825","https://openalex.org/W2800259501","https://openalex.org/W2821843609","https://openalex.org/W2883838096","https://openalex.org/W2905580465","https://openalex.org/W2908633847","https://openalex.org/W2912069721","https://openalex.org/W2912729634","https://openalex.org/W2940714329","https://openalex.org/W2951398599","https://openalex.org/W2952468414","https://openalex.org/W2955676464","https://openalex.org/W2990303645","https://openalex.org/W2993119222","https://openalex.org/W6764449361"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W4317671434","https://openalex.org/W2922872563","https://openalex.org/W2549418288","https://openalex.org/W2739092184","https://openalex.org/W2740804836","https://openalex.org/W4321317645","https://openalex.org/W2050699221","https://openalex.org/W2155191322","https://openalex.org/W2148060698"],"abstract_inverted_index":{"The":[0,113,173],"accuracy":[1,196],"of":[2,17,56,96,117,135,162,188,205,212],"defects":[3,189,213],"detection":[4,51,111,116,217],"for":[5,78],"logistics":[6,47,79,136,153,191],"packaging":[7,48,80,137,192],"box":[8,49,138],"is":[9,121],"a":[10,42,65,107,118,159],"critical":[11],"factor":[12],"to":[13,150,164],"ensure":[14],"the":[15,54,94,126,133,152,169,178,203,208],"quality":[16],"goods":[18],"under":[19],"edge":[20,110,114],"computing":[21],"environment.":[22],"Now,":[23],"there":[24],"are":[25,75],"few":[26],"works":[27],"on":[28,53,82,207],"this":[29,62,99],"issue.":[30],"This":[31,156],"paper":[32,63,100,157],"designs":[33,64,147],"an":[34,102],"image":[35,83,85,120],"acquisition":[36],"process":[37],"system":[38],"and":[39,70,87,106,146,167,197,210],"then":[40],"proposes":[41,101],"novel":[43],"approach":[44],"in":[45,93,190,214],"addressing":[46],"defect":[50,115],"(LPDD)":[52],"basis":[55],"support":[57],"vector":[58],"machine":[59,215],"(SVM).":[60],"Firstly,":[61],"new":[66],"mean":[67],"denoising":[68],"template":[69],"Laplace":[71],"sharpening":[72],"template,":[73],"which":[74,201],"more":[76],"suitable":[77],"based":[81],"preprocessing,":[84],"enhancement":[86],"other":[88],"relevant":[89],"technical":[90],"theories.":[91],"Then":[92],"stage":[95],"noise":[97],"removal,":[98],"improved":[103],"morphological":[104,109],"method":[105,181],"gray":[108,119],"algorithm.":[112],"carried":[122],"out":[123],"by":[124,139],"combining":[125],"above":[127],"two":[128,185],"methods.":[129],"Hence,":[130],"LPDD":[131,180],"extracts":[132],"features":[134],"using":[140],"scale-invariant":[141],"feature":[142],"transform":[143],"(SIFT)":[144],"algorithm":[145],"SVM":[148,171],"classifiers":[149],"classify":[151],"package":[154],"defects.":[155],"uses":[158],"large":[160],"number":[161],"samples":[163],"train,":[165],"learn":[166],"test":[168],"designed":[170],"classifier.":[172],"simulation":[174],"results":[175],"show":[176],"that":[177],"proposed":[179],"can":[182],"accurately":[183],"detect":[184],"common":[186],"types":[187],"boxes":[193],"with":[194],"higher":[195],"less":[198],"computational":[199],"costs,":[200],"meets":[202],"requirements":[204],"manufacturers":[206],"classification":[209],"recognition":[211],"vision":[216],"system.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}