{"id":"https://openalex.org/W4415968465","doi":"https://doi.org/10.1109/iecon58223.2025.11221035","title":"Improving Image-Based Tool Detection in Industrial Workstations using Data Augmentation","display_name":"Improving Image-Based Tool Detection in Industrial Workstations using Data Augmentation","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415968465","doi":"https://doi.org/10.1109/iecon58223.2025.11221035"},"language":"en","primary_location":{"id":"doi:10.1109/iecon58223.2025.11221035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon58223.2025.11221035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society","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/A5093750637","display_name":"Sarah Ouarab","orcid":"https://orcid.org/0009-0005-0403-2792"},"institutions":[{"id":"https://openalex.org/I4210089119","display_name":"Cole Engineering Services (United States)","ror":"https://ror.org/009vrft62","country_code":"US","type":"company","lineage":["https://openalex.org/I4210089119"]},{"id":"https://openalex.org/I4210155362","display_name":"Centre d'Etudes Superieures Industrielles","ror":"https://ror.org/04f87d812","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210155362"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Sarah Ouarab","raw_affiliation_strings":["CESI, CESI LINEACT,Lyon,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI, CESI LINEACT,Lyon,France","institution_ids":["https://openalex.org/I4210155362","https://openalex.org/I4210089119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120057323","display_name":"David Garcia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089119","display_name":"Cole Engineering Services (United States)","ror":"https://ror.org/009vrft62","country_code":"US","type":"company","lineage":["https://openalex.org/I4210089119"]},{"id":"https://openalex.org/I4210155362","display_name":"Centre d'Etudes Superieures Industrielles","ror":"https://ror.org/04f87d812","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210155362"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"David Garcia","raw_affiliation_strings":["CESI, CESI LINEACT,Lyon,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI, CESI LINEACT,Lyon,France","institution_ids":["https://openalex.org/I4210155362","https://openalex.org/I4210089119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039869773","display_name":"Nicolas Ragot","orcid":"https://orcid.org/0000-0001-5360-2185"},"institutions":[{"id":"https://openalex.org/I4210089119","display_name":"Cole Engineering Services (United States)","ror":"https://ror.org/009vrft62","country_code":"US","type":"company","lineage":["https://openalex.org/I4210089119"]},{"id":"https://openalex.org/I4210155362","display_name":"Centre d'Etudes Superieures Industrielles","ror":"https://ror.org/04f87d812","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210155362"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Nicolas Ragot","raw_affiliation_strings":["CESI, CESI LINEACT,Rouen,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI, CESI LINEACT,Rouen,France","institution_ids":["https://openalex.org/I4210155362","https://openalex.org/I4210089119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018852344","display_name":"Yohan Dupuis","orcid":"https://orcid.org/0000-0002-9725-2049"},"institutions":[{"id":"https://openalex.org/I4210155362","display_name":"Centre d'Etudes Superieures Industrielles","ror":"https://ror.org/04f87d812","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210155362"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yohan Dupuis","raw_affiliation_strings":["CESI, CESI LINEACT,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI, CESI LINEACT,Paris,France","institution_ids":["https://openalex.org/I4210155362"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36337756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.7896000146865845,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.7896000146865845,"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"}},{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.02250000089406967,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.01889999955892563,"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/affordance","display_name":"Affordance","score":0.8442000150680542},{"id":"https://openalex.org/keywords/workstation","display_name":"Workstation","score":0.5924999713897705},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4426000118255615},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4043999910354614},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.3790000081062317},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.3458000123500824},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3319000005722046},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.32019999623298645}],"concepts":[{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.8442000150680542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969000101089478},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.5924999713897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4724000096321106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4438000023365021},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4426000118255615},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4043999910354614},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38839998841285706},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35089999437332153},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C82753439","wikidata":"https://www.wikidata.org/wiki/Q1419090","display_name":"Industrial production","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iecon58223.2025.11221035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon58223.2025.11221035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05379424v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05379424","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://iecon2025.org/","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W805270869","https://openalex.org/W2040001722","https://openalex.org/W2476237035","https://openalex.org/W2592101084","https://openalex.org/W2795539578","https://openalex.org/W2908496588","https://openalex.org/W2963037989","https://openalex.org/W2963709863","https://openalex.org/W3095886304","https://openalex.org/W3157042932","https://openalex.org/W4206337041","https://openalex.org/W4230210808","https://openalex.org/W4291819654","https://openalex.org/W4313644512","https://openalex.org/W4391784929","https://openalex.org/W4392093148","https://openalex.org/W4396807980","https://openalex.org/W4399432723","https://openalex.org/W4409349694"],"related_works":[],"abstract_inverted_index":{"Within":[0],"the":[1,35,55,109,158],"framework":[2],"of":[3,38,57,89,126,160],"Industry":[4],"5.0,":[5],"affordances":[6,22],"enable":[7],"intuitive":[8],"and":[9,14,28,60,80,104,151,163],"adaptive":[10],"interactions":[11],"between":[12],"operators":[13,48],"their":[15,116],"industrial":[16,64,91],"work":[17],"environments.":[18],"Accurately":[19],"perceiving":[20],"these":[21],"enhances":[23],"overall":[24],"production":[25],"performance,":[26],"safety,":[27],"operator":[29],"effectiveness.":[30],"This":[31],"paper":[32],"focuses":[33],"on":[34,74,118],"initial":[36],"step":[37],"a":[39,68,75,86],"larger":[40],"affordance":[41,176],"characterization":[42],"pipeline:":[43],"detecting":[44],"tools":[45],"used":[46],"by":[47],"during":[49],"manual":[50],"assembly":[51],"tasks.":[52],"To":[53],"address":[54],"challenges":[56],"data":[58,106,128,165],"scarcity":[59],"annotation":[61,168],"effort":[62,169],"in":[63,93,108],"contexts,":[65],"we":[66,98],"train":[67,111],"custom":[69],"YOLOv9-based":[70],"deep":[71],"learning":[72],"model":[73,88],"data-augmented":[76,110,137],"dataset":[77,100,138],"combining":[78,161],"real-world":[79,105,127],"synthetic":[81,162],"images,":[82],"automatically":[83],"generated":[84],"from":[85],"digital":[87],"an":[90],"workstation":[92],"Unity3D.":[94],"Through":[95],"extensive":[96],"experiments,":[97],"varied":[99],"sizes":[101],"(50\u2013300":[102],"images)":[103],"proportions":[107],"datasets":[112],"(0%\u201350%),":[113],"to":[114,131,166],"assess":[115],"impact":[117],"tool":[119,141,173],"detection.":[120,154],"Results":[121],"show":[122],"that":[123,145],"only":[124],"10%":[125],"is":[129],"sufficient":[130],"achieve":[132],"strong":[133],"performance":[134],"across":[135],"all":[136],"sizes.":[139],"A":[140],"specific":[142],"analysis":[143],"reveals":[144],"visual":[146],"characteristics":[147],"such":[148],"as":[149],"size":[150],"shape":[152],"influence":[153],"These":[155],"findings":[156],"highlight":[157],"effectiveness":[159],"real":[164],"reduce":[167],"while":[170],"supporting":[171],"robust":[172],"detection":[174],"for":[175],"characterization.":[177]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-06T00:00:00"}