{"id":"https://openalex.org/W4393253028","doi":"https://doi.org/10.1109/access.2024.3382817","title":"Personal Protective Equipment Detection for Construction Workers: A Novel Dataset and Enhanced YOLOv5 Approach","display_name":"Personal Protective Equipment Detection for Construction Workers: A Novel Dataset and Enhanced YOLOv5 Approach","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393253028","doi":"https://doi.org/10.1109/access.2024.3382817"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3382817","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3382817","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10483067.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/ielx7/6287639/6514899/10483067.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100610063","display_name":"Yipeng Liu","orcid":"https://orcid.org/0000-0002-5478-0159"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu Yipeng","raw_affiliation_strings":["Hainan Research Institute, Wuhan University of Technology, Sanya, China","Hainan Research Institute of Wuhan University of Technology, Sanya, China","School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hainan Research Institute, Wuhan University of Technology, Sanya, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hainan Research Institute of Wuhan University of Technology, Sanya, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102973172","display_name":"Junwu Wang","orcid":"https://orcid.org/0000-0002-9256-8175"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Junwu","raw_affiliation_strings":["Hainan Research Institute, Wuhan University of Technology, Sanya, China","School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China","Hainan Research Institute of Wuhan University of Technology, Sanya, China"],"affiliations":[{"raw_affiliation_string":"Hainan Research Institute, Wuhan University of Technology, Sanya, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hainan Research Institute of Wuhan University of Technology, Sanya, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100610063"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.3137,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97311233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"47338","last_page":"47358"},"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":0.9958000183105469,"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":0.9958000183105469,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9847999811172485,"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/clothing","display_name":"Clothing","score":0.8009988069534302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7867372035980225},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7584303617477417},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.49619609117507935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4927273094654083},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.45644906163215637},{"id":"https://openalex.org/keywords/personal-protective-equipment","display_name":"Personal protective equipment","score":0.420055627822876},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41066741943359375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3927914500236511},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3432484269142151},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1475708782672882}],"concepts":[{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.8009988069534302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867372035980225},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7584303617477417},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.49619609117507935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927273094654083},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.45644906163215637},{"id":"https://openalex.org/C2780668467","wikidata":"https://www.wikidata.org/wiki/Q1333024","display_name":"Personal protective equipment","level":5,"score":0.420055627822876},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41066741943359375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3927914500236511},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3432484269142151},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1475708782672882},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3382817","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3382817","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10483067.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:85e45362c70548c9a1dea0fb67853126","is_oa":true,"landing_page_url":"https://doaj.org/article/85e45362c70548c9a1dea0fb67853126","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 47338-47358 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3382817","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3382817","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10483067.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":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G4200636398","display_name":null,"funder_award_id":"ZDKJ2021024","funder_id":"https://openalex.org/F4320324882","funder_display_name":"Hainan Provincial Department of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320324882","display_name":"Hainan Provincial Department of Science and Technology","ror":"https://ror.org/03rbw2w25"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393253028.pdf","grobid_xml":"https://content.openalex.org/works/W4393253028.grobid-xml"},"referenced_works_count":80,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W1989730063","https://openalex.org/W2009715601","https://openalex.org/W2015157914","https://openalex.org/W2020033073","https://openalex.org/W2031489346","https://openalex.org/W2043240677","https://openalex.org/W2054484383","https://openalex.org/W2059434605","https://openalex.org/W2109255472","https://openalex.org/W2110285718","https://openalex.org/W2144560128","https://openalex.org/W2209693234","https://openalex.org/W2317922111","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2578179458","https://openalex.org/W2625593132","https://openalex.org/W2761891891","https://openalex.org/W2790722345","https://openalex.org/W2791834423","https://openalex.org/W2803429134","https://openalex.org/W2803862859","https://openalex.org/W2810344629","https://openalex.org/W2906127197","https://openalex.org/W2906994126","https://openalex.org/W2908703502","https://openalex.org/W2909074876","https://openalex.org/W2944738640","https://openalex.org/W2944936691","https://openalex.org/W2958657326","https://openalex.org/W2961414661","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963420686","https://openalex.org/W2963770292","https://openalex.org/W2990230185","https://openalex.org/W3000144357","https://openalex.org/W3008168565","https://openalex.org/W3034552520","https://openalex.org/W3035957914","https://openalex.org/W3106586859","https://openalex.org/W3119539891","https://openalex.org/W3122173535","https://openalex.org/W3137449872","https://openalex.org/W3157413619","https://openalex.org/W3159328076","https://openalex.org/W3175864218","https://openalex.org/W3177052299","https://openalex.org/W3192080554","https://openalex.org/W3201064488","https://openalex.org/W3204224975","https://openalex.org/W3206281034","https://openalex.org/W3209914922","https://openalex.org/W3213708310","https://openalex.org/W4210853077","https://openalex.org/W4229003286","https://openalex.org/W4280630824","https://openalex.org/W4281790833","https://openalex.org/W4281975352","https://openalex.org/W4284968638","https://openalex.org/W4285328243","https://openalex.org/W4288747841","https://openalex.org/W4289752563","https://openalex.org/W4289792179","https://openalex.org/W4290052388","https://openalex.org/W4293795999","https://openalex.org/W4295312788","https://openalex.org/W4297093187","https://openalex.org/W4306399935","https://openalex.org/W4307905472","https://openalex.org/W4362631162","https://openalex.org/W4377089756","https://openalex.org/W4377981744","https://openalex.org/W4379184848","https://openalex.org/W4382651856","https://openalex.org/W6766978945","https://openalex.org/W6791777604","https://openalex.org/W6803209311"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Current":[0],"research":[1,27],"on":[2,11],"personal":[3],"protective":[4],"equipment":[5],"(PPE)":[6],"detection":[7,16,83,139],"has":[8],"mainly":[9],"focused":[10],"hard":[12,57],"hats,":[13],"overlooking":[14],"the":[15,44,54,95,105],"of":[17,50,56,101],"reflective":[18,60,79,121],"clothing.":[19,61],"Therefore,":[20],"this":[21,26,32,134],"study":[22,135],"aims":[23],"to":[24,73,77,137],"address":[25],"gap":[28],"comprehensively.":[29],"We":[30],"achieve":[31],"by":[33],"creating":[34],"a":[35,142],"novel":[36,143],"dataset":[37,48,144],"using":[38],"semi-automatic":[39],"labeling":[40],"techniques":[41],"and":[42,59,68,81,108,127,145],"enhancing":[43],"YOLOv5":[45],"model.":[46,148],"The":[47],"consists":[49],"four":[51],"categories,":[52],"assessing":[53],"presence":[55],"hats":[58],"Additionally,":[62],"we":[63],"introduce":[64],"an":[65,69,146],"attention":[66],"mechanism":[67],"improved":[70,91,114,147],"loss":[71],"function":[72],"tackle":[74],"challenges":[75],"related":[76],"detecting":[78,120],"clothing":[80],"overlapping":[82,129],"frames.":[84,131],"Through":[85],"extensive":[86],"multi-model":[87],"comparison":[88],"experiments,":[89],"our":[90,113],"model,":[92],"AL-YOLOv5,":[93],"outperforms":[94],"baseline":[96],"model":[97,115],"with":[98],"remarkable":[99],"advancements":[100],"0.9":[102],"AP":[103],"in":[104,119],"data-limited":[106],"category":[107],"0.4":[109],"mAP":[110],"overall.":[111],"Notably,":[112],"shows":[116],"substantial":[117],"progress":[118],"clothing,":[122],"significantly":[123],"reducing":[124],"false":[125],"detections,":[126],"improving":[128],"bounding":[130],"In":[132],"conclusion,":[133],"contributes":[136],"PPE":[138],"accuracy":[140],"through":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}