{"id":"https://openalex.org/W3166129750","doi":"https://doi.org/10.1109/iccicc50026.2020.9450251","title":"A Deep Learning-Based Approach for Quality Control and Defect Detection for Industrial Bagging Systems","display_name":"A Deep Learning-Based Approach for Quality Control and Defect Detection for Industrial Bagging Systems","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3166129750","doi":"https://doi.org/10.1109/iccicc50026.2020.9450251","mag":"3166129750"},"language":"en","primary_location":{"id":"doi:10.1109/iccicc50026.2020.9450251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc50026.2020.9450251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005252374","display_name":"Mathieu Juncker","orcid":null},"institutions":[{"id":"https://openalex.org/I182451676","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski","ror":"https://ror.org/049jtt335","country_code":"CA","type":"education","lineage":["https://openalex.org/I182451676","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mathieu Juncker","raw_affiliation_strings":["D\u00e9partement de math\u00e9matiques, d\u2019informatique et de g\u00e9nie UQAR, Rimouski, Canada","D\u00e9partement de math\u00e9matiques, d'informatique et de g\u00e9nie UQAR, Rimouski, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de math\u00e9matiques, d\u2019informatique et de g\u00e9nie UQAR, Rimouski, Canada","institution_ids":["https://openalex.org/I182451676"]},{"raw_affiliation_string":"D\u00e9partement de math\u00e9matiques, d'informatique et de g\u00e9nie UQAR, Rimouski, Canada","institution_ids":["https://openalex.org/I182451676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002540759","display_name":"Isma\u00efl Khriss","orcid":null},"institutions":[{"id":"https://openalex.org/I182451676","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski","ror":"https://ror.org/049jtt335","country_code":"CA","type":"education","lineage":["https://openalex.org/I182451676","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ismail Khriss","raw_affiliation_strings":["D\u00e9partement de math\u00e9matiques, d\u2019informatique et de g\u00e9nie UQAR, Rimouski, Canada","D\u00e9partement de math\u00e9matiques, d'informatique et de g\u00e9nie UQAR, Rimouski, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de math\u00e9matiques, d\u2019informatique et de g\u00e9nie UQAR, Rimouski, Canada","institution_ids":["https://openalex.org/I182451676"]},{"raw_affiliation_string":"D\u00e9partement de math\u00e9matiques, d'informatique et de g\u00e9nie UQAR, Rimouski, Canada","institution_ids":["https://openalex.org/I182451676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040904224","display_name":"Jean Brousseau","orcid":"https://orcid.org/0000-0003-4665-4205"},"institutions":[{"id":"https://openalex.org/I182451676","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski","ror":"https://ror.org/049jtt335","country_code":"CA","type":"education","lineage":["https://openalex.org/I182451676","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jean Brousseau","raw_affiliation_strings":["D\u00e9partement de math\u00e9matiques, d\u2019informatique et de g\u00e9nie UQAR, Rimouski, Canada","D\u00e9partement de math\u00e9matiques, d'informatique et de g\u00e9nie UQAR, Rimouski, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de math\u00e9matiques, d\u2019informatique et de g\u00e9nie UQAR, Rimouski, Canada","institution_ids":["https://openalex.org/I182451676"]},{"raw_affiliation_string":"D\u00e9partement de math\u00e9matiques, d'informatique et de g\u00e9nie UQAR, Rimouski, Canada","institution_ids":["https://openalex.org/I182451676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073895148","display_name":"Steven Pigeon","orcid":"https://orcid.org/0000-0002-5559-8551"},"institutions":[{"id":"https://openalex.org/I182451676","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski","ror":"https://ror.org/049jtt335","country_code":"CA","type":"education","lineage":["https://openalex.org/I182451676","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Steven Pigeon","raw_affiliation_strings":["D\u00e9partement de math\u00e9matiques, d\u2019informatique et de g\u00e9nie UQAR, Rimouski, Canada","D\u00e9partement de math\u00e9matiques, d'informatique et de g\u00e9nie UQAR, Rimouski, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de math\u00e9matiques, d\u2019informatique et de g\u00e9nie UQAR, Rimouski, Canada","institution_ids":["https://openalex.org/I182451676"]},{"raw_affiliation_string":"D\u00e9partement de math\u00e9matiques, d'informatique et de g\u00e9nie UQAR, Rimouski, Canada","institution_ids":["https://openalex.org/I182451676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015420758","display_name":"Alexis Darisse","orcid":null},"institutions":[{"id":"https://openalex.org/I3132404012","display_name":"C\u00e9gep de Rivi\u00e8re-du-Loup","ror":"https://ror.org/013cpv265","country_code":"CA","type":"education","lineage":["https://openalex.org/I3132404012"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexis Darisse","raw_affiliation_strings":["D\u00e9partement Innovation, Recherche et D\u00e9veloppement Premier Tech, Rivi\u00e8re-du-Loup, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement Innovation, Recherche et D\u00e9veloppement Premier Tech, Rivi\u00e8re-du-Loup, Canada","institution_ids":["https://openalex.org/I3132404012"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041149295","display_name":"Billy Lapointe","orcid":null},"institutions":[{"id":"https://openalex.org/I3132404012","display_name":"C\u00e9gep de Rivi\u00e8re-du-Loup","ror":"https://ror.org/013cpv265","country_code":"CA","type":"education","lineage":["https://openalex.org/I3132404012"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Billy Lapointe","raw_affiliation_strings":["D\u00e9partement Innovation, Recherche et D\u00e9veloppement Premier Tech, Rivi\u00e8re-du-Loup, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement Innovation, Recherche et D\u00e9veloppement Premier Tech, Rivi\u00e8re-du-Loup, Canada","institution_ids":["https://openalex.org/I3132404012"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5005252374"],"corresponding_institution_ids":["https://openalex.org/I182451676"],"apc_list":null,"apc_paid":null,"fwci":0.1783,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63988143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1712 3541","issue":null,"first_page":"60","last_page":"67"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9463000297546387,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7316585183143616},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6836374998092651},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6351262927055359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6267577409744263},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6179301738739014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5827493667602539},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5338484048843384},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47478076815605164},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4703928232192993},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.43370717763900757},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43345701694488525},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4299353361129761},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42344173789024353},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4190082252025604},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3398177921772003},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20438876748085022},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1673295795917511},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.07602542638778687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316585183143616},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6836374998092651},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6351262927055359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6267577409744263},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6179301738739014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5827493667602539},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5338484048843384},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47478076815605164},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4703928232192993},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.43370717763900757},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43345701694488525},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4299353361129761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42344173789024353},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4190082252025604},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3398177921772003},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20438876748085022},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1673295795917511},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.07602542638778687},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccicc50026.2020.9450251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc50026.2020.9450251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1546411676","https://openalex.org/W2102605133","https://openalex.org/W2241799117","https://openalex.org/W2418691539","https://openalex.org/W2504840753","https://openalex.org/W2531409750","https://openalex.org/W2559881210","https://openalex.org/W2589306531","https://openalex.org/W2768955070","https://openalex.org/W2771907641","https://openalex.org/W2790565150","https://openalex.org/W2809254203","https://openalex.org/W2899983521","https://openalex.org/W2900224209","https://openalex.org/W2906302663","https://openalex.org/W2962861155","https://openalex.org/W2964121744","https://openalex.org/W4230714977","https://openalex.org/W6632670727","https://openalex.org/W6746799858"],"related_works":["https://openalex.org/W2519676117","https://openalex.org/W2218202131","https://openalex.org/W84108837","https://openalex.org/W2155740880","https://openalex.org/W2131713426","https://openalex.org/W4253249845","https://openalex.org/W2125452230","https://openalex.org/W2148444631","https://openalex.org/W1988425686","https://openalex.org/W971421295"],"abstract_inverted_index":{"In":[0,71],"the":[1,5,127,133,136,182],"competitive":[2],"world":[3],"of":[4,43,59,94,96,118,135,141,145,171,184,187],"food":[6],"industry":[7],"where":[8],"companies":[9],"have":[10],"to":[11,47,54,91,113,125,138,155],"offer":[12],"quality":[13,15,57,157,185],"products,":[14],"control":[16,58,186],"is":[17,27,46,52,90,122,132],"essential.":[18],"However,":[19],"it":[20,26,51,108,153],"could":[21],"become":[22],"expensive,":[23],"especially":[24],"if":[25],"a":[28,39,76,102,110,115],"manual":[29],"process.":[30],"Its":[31],"automation":[32],"then":[33,123],"becomes":[34],"an":[35,161,188],"excellent":[36],"opportunity":[37],"for":[38,168,181],"company.":[40],"The":[41,87,129],"objective":[42],"this":[44,72],"research":[45],"find":[48],"out":[49,56],"whether":[50],"possible":[53,154],"carry":[55],"open":[60,97,172],"mouth":[61,98,173],"bag":[62],"sealings":[63,95],"on":[64,109,164],"industrial":[65,189],"bagging":[66,190],"systems":[67],"using":[68],"deep":[69],"learning.":[70,86],"paper,":[73],"we":[74],"propose":[75,160],"three-step":[77],"approach:":[78],"data":[79,81,137],"collection,":[80],"classification,":[82],"and":[83,106,143],"supervised":[84,149],"classification":[85,134,150,170],"first":[88],"step":[89,131],"collect":[92],"images":[93],"bags.":[99,174],"We":[100,159],"created":[101],"line-scan":[103],"based":[104,163],"prototype":[105],"placed":[107],"production":[111],"line":[112],"harvest":[114],"large":[116],"amount":[117],"data.":[119,128,147],"Image":[120],"processing":[121],"applied":[124],"clean":[126],"next":[130],"identify":[139],"classes":[140],"defects":[142],"labeling":[144],"these":[146],"Finally,":[148],"learning":[151],"makes":[152],"implement":[156],"control.":[158],"architecture":[162],"convolutional":[165],"neural":[166],"networks":[167],"image":[169],"Our":[175],"approach":[176],"gives":[177],"very":[178],"encouraging":[179],"results":[180],"realization":[183],"system.":[191]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}