{"id":"https://openalex.org/W3096397320","doi":"https://doi.org/10.1145/3421766.3421774","title":"Real-time Safety Helmet Detection System based on Improved SSD","display_name":"Real-time Safety Helmet Detection System based on Improved SSD","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3096397320","doi":"https://doi.org/10.1145/3421766.3421774","mag":"3096397320"},"language":"en","primary_location":{"id":"doi:10.1145/3421766.3421774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421766.3421774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005995567","display_name":"Bin Dai","orcid":"https://orcid.org/0000-0001-9405-2626"},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Dai","raw_affiliation_strings":["Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210089056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069478883","display_name":"Yuhu Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhu Nie","raw_affiliation_strings":["Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210089056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019879566","display_name":"Wenpeng Cui","orcid":"https://orcid.org/0000-0002-0741-6418"},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenpeng Cui","raw_affiliation_strings":["Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210089056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448645","display_name":"Rui Liu","orcid":"https://orcid.org/0000-0003-3412-8953"},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Liu","raw_affiliation_strings":["Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210089056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040858386","display_name":"Zhe Zheng","orcid":"https://orcid.org/0000-0001-7829-6284"},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zheng","raw_affiliation_strings":["Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Smartchip Microelectronics, Technology Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210089056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210089056"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9785000085830688,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9785000085830688,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9487000107765198,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8152660131454468},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7372019290924072},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6300760507583618},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6085279583930969},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5393296480178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5085054636001587},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4949416518211365},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47317177057266235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3949894607067108},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3042758107185364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152660131454468},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7372019290924072},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6300760507583618},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6085279583930969},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5393296480178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5085054636001587},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4949416518211365},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47317177057266235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3949894607067108},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3042758107185364},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3421766.3421774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421766.3421774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","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":7,"referenced_works":["https://openalex.org/W2109255472","https://openalex.org/W2115415549","https://openalex.org/W2120419212","https://openalex.org/W2139212933","https://openalex.org/W2161969291","https://openalex.org/W2183182206","https://openalex.org/W3026454805"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W4375867731","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"The":[0,132],"detection":[1,23,41,55,137,151,178,183,189],"of":[2,33,39,65,69,82,95,102,106,139],"the":[3,10,31,48,58,63,80,83,97,100,107,119,124,129,136,140,150,170,177,182,187],"safety":[4,27,112],"helmet":[5,28,113],"is":[6,45,126,142,145,158],"difficulties":[7],"due":[8],"to":[9,25,29,67,85,115,147,164],"ariable":[11],"ighting,":[12],"weather":[13],"changes":[14],"and":[15,36,56,74,104,117,123,185],"complex":[16],"background.":[17],"We":[18],"proposed":[19,91],"a":[20],"deep":[21,75],"learning":[22],"method":[24,44],"detect":[26],"solve":[30],"problems":[32],"low":[34,71],"accuracy":[35,138,184],"poor":[37],"robustness":[38],"traditional":[40],"methods.":[42],"This":[43],"based":[46],"on":[47],"SSD":[49],"(Single":[50],"Shot":[51],"MultiBox":[52],"Detector)":[53],"object":[54],"improved":[57,120,155,171],"network.":[59],"First,":[60],"we":[61,90,110],"used":[62],"fusion":[64],"multi-layer":[66],"consideration":[68],"shallow":[70],"sematic":[72],"information":[73],"semantic":[76],"information,":[77],"which":[78,144,157],"improves":[79],"sensitivity":[81],"network":[84,93,121,172],"small":[86],"target":[87],"detection.":[88],"Second,":[89],"lightweight":[92],"structure":[94],"compresses":[96],"network,":[98],"reducing":[99],"amount":[101],"parameters":[103],"calculations":[105],"model.":[108],"Third,":[109],"made":[111],"datasets":[114],"train":[116],"test":[118],"model,":[122],"model":[125,141,173],"compared":[127],"with":[128],"original":[130],"SSD.":[131],"results":[133],"show":[134,168],"that":[135,169],"86.75%,":[143],"similar":[146],"SSD,":[148,162],"but":[149],"speed":[152,179],"has":[153],"been":[154],"significantly,":[156],"295%":[159],"higher":[160],"than":[161],"up":[163],"83":[165],"frame/s.":[166],"Experiments":[167],"can":[174],"significantly":[175],"improve":[176],"while":[180],"ensuring":[181],"meet":[186],"real-time":[188],"requirements.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
