{"id":"https://openalex.org/W4285351267","doi":"https://doi.org/10.1109/icccs51487.2021.9776347","title":"Mobilenet Based CNN Architecture For Detection of Face Masks","display_name":"Mobilenet Based CNN Architecture For Detection of Face Masks","publication_year":2021,"publication_date":"2021-10-04","ids":{"openalex":"https://openalex.org/W4285351267","doi":"https://doi.org/10.1109/icccs51487.2021.9776347"},"language":"en","primary_location":{"id":"doi:10.1109/icccs51487.2021.9776347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs51487.2021.9776347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","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/A5063445769","display_name":"Aditya Mantri","orcid":"https://orcid.org/0000-0002-0571-1739"},"institutions":[{"id":"https://openalex.org/I152869788","display_name":"Motilal Nehru National Institute of Technology","ror":"https://ror.org/04dp7tp96","country_code":"IN","type":"education","lineage":["https://openalex.org/I152869788"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aditya Mantri","raw_affiliation_strings":["Motilal Nehru National Institue of Technology Allahabad,Computer Science and Engineering Department,Prayagraj,Uttar Pradesh"],"affiliations":[{"raw_affiliation_string":"Motilal Nehru National Institue of Technology Allahabad,Computer Science and Engineering Department,Prayagraj,Uttar Pradesh","institution_ids":["https://openalex.org/I152869788"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046019318","display_name":"Divya Kumar","orcid":"https://orcid.org/0000-0002-5550-2134"},"institutions":[{"id":"https://openalex.org/I152869788","display_name":"Motilal Nehru National Institute of Technology","ror":"https://ror.org/04dp7tp96","country_code":"IN","type":"education","lineage":["https://openalex.org/I152869788"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Divya Kumar","raw_affiliation_strings":["Motilal Nehru National Institue of Technology Allahabad,Computer Science and Engineering Department,Prayagraj,Uttar Pradesh"],"affiliations":[{"raw_affiliation_string":"Motilal Nehru National Institue of Technology Allahabad,Computer Science and Engineering Department,Prayagraj,Uttar Pradesh","institution_ids":["https://openalex.org/I152869788"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063445769"],"corresponding_institution_ids":["https://openalex.org/I152869788"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.30131135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13693","display_name":"Smart Systems and Machine Learning","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11448","display_name":"Face recognition and analysis","score":0.9937999844551086,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7200442552566528},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6940135359764099},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6930450201034546},{"id":"https://openalex.org/keywords/face-masks","display_name":"Face masks","score":0.6675010323524475},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5627796649932861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5148112177848816},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.45178139209747314},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3514636754989624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.325589656829834},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.15122464299201965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200442552566528},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6940135359764099},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6930450201034546},{"id":"https://openalex.org/C2909791563","wikidata":"https://www.wikidata.org/wiki/Q5428367","display_name":"Face masks","level":5,"score":0.6675010323524475},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5627796649932861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5148112177848816},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.45178139209747314},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3514636754989624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.325589656829834},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.15122464299201965},{"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/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs51487.2021.9776347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs51487.2021.9776347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Computing, Communication and Security (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1135936395","https://openalex.org/W1584308190","https://openalex.org/W2747027866","https://openalex.org/W2757821154","https://openalex.org/W2794284562","https://openalex.org/W3020358767","https://openalex.org/W3021953217","https://openalex.org/W3024585647","https://openalex.org/W3030117779","https://openalex.org/W3034552680","https://openalex.org/W3140854437","https://openalex.org/W4249875101"],"related_works":["https://openalex.org/W1967587236","https://openalex.org/W2384651879","https://openalex.org/W2336272890","https://openalex.org/W2151699605","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W2133653344","https://openalex.org/W4312081214"],"abstract_inverted_index":{"It":[0,159],"has":[1],"remained":[2],"to":[3,33,50,52,60,85,136],"be":[4,61,96,188,193,200],"the":[5,21,41,46,62,68,86,174],"cause":[6],"of":[7,11,23,66,70,72,81,91,100,166],"misery":[8],"for":[9],"millions":[10],"businesses":[12],"and":[13,17,48,88,107,117,144,169,195],"lives":[14],"throughout":[15],"2020":[16],"into":[18],"2021":[19],"after":[20],"outbreak":[22],"Coronavirus":[24],"Disease":[25],"2019":[26],"(COVID-19).":[27],"Almost":[28],"everyone,":[29],"especially":[30],"those":[31],"planning":[32],"resume":[34],"in-person":[35],"activity,":[36],"is":[37,43,105,110,153],"feeling":[38],"anxious":[39],"while":[40,103],"world":[42],"recovering":[44],"from":[45],"pandemic":[47],"prepares":[49],"return":[51],"a":[53,79,114,125,163,183],"normal":[54],"condition.":[55],"Face":[56],"masks":[57,191],"are":[58],"proven":[59],"only":[63],"prominent":[64],"way":[65],"reducing":[67],"risk":[69],"transfusion":[71],"viral":[73],"agents,":[74],"as":[75,77,139,141],"well":[76,140],"provide":[78],"sense":[80],"protection.":[82],"But,":[83],"due":[84],"negligence":[87],"casual":[89],"attitude":[90],"people,":[92],"strict":[93],"policies":[94],"must":[95],"enacted.":[97],"Manual":[98],"tracking":[99],"this":[101,121],"policy,":[102],"possible,":[104],"ineffective":[106],"time-consuming.":[108],"This":[109,151],"where":[111],"technology":[112],"plays":[113],"critical":[115],"role":[116],"that&#x0027;s":[118],"why":[119],"in":[120],"paper,":[122],"we":[123],"propose":[124],"Deep":[126],"Learning-based":[127],"system":[128],"that":[129,162],"uses":[130],"Convolutional":[131],"Neural":[132],"Network":[133],"(CNN)":[134],"architecture":[135,152],"detect":[137],"unmasked":[138],"masked":[142],"faces":[143],"can":[145,187,192,199],"interface":[146],"with":[147,173],"security":[148],"cameras":[149],"installed.":[150],"trained":[154],"by":[155],"using":[156],"1923":[157],"images.":[158],"was":[160,171],"found":[161],"high":[164],"rate":[165],"accuracy":[167],"(99.13&#x0025;)":[168],"validation":[170],"achieved":[172],"proposed":[175],"model,":[176],"more":[177],"accurate":[178],"than":[179],"other":[180],"models.":[181],"As":[182],"result,":[184],"safety":[185],"violations":[186],"tracked,":[189],"face":[190],"encouraged,":[194],"safe":[196],"working":[197],"conditions":[198],"ensured.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
