{"id":"https://openalex.org/W3211912997","doi":"https://doi.org/10.1109/icccnt51525.2021.9580098","title":"Facial Recognition System for Automatic Attendance Tracking Using an Ensemble of Deep-Learning Techniques","display_name":"Facial Recognition System for Automatic Attendance Tracking Using an Ensemble of Deep-Learning Techniques","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3211912997","doi":"https://doi.org/10.1109/icccnt51525.2021.9580098","mag":"3211912997"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9580098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5109310348","display_name":"Anand Venugopal","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Venugopal A","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020723298","display_name":"Rahul R Krishna","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul R Krishna","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058734672","display_name":"Rahul Varma U","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Varma U","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109310348"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":1.1097,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77963841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11448","display_name":"Face recognition and analysis","score":0.9750999808311462,"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/computer-science","display_name":"Computer science","score":0.7583897113800049},{"id":"https://openalex.org/keywords/attendance","display_name":"Attendance","score":0.7477172613143921},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.711616039276123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6759012341499329},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5412006974220276},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5381437540054321},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5030948519706726},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.45962822437286377},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.44548314809799194},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.43533623218536377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4229714870452881},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41226091980934143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3240112364292145},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10608726739883423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583897113800049},{"id":"https://openalex.org/C2778173179","wikidata":"https://www.wikidata.org/wiki/Q25339289","display_name":"Attendance","level":2,"score":0.7477172613143921},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.711616039276123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6759012341499329},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5412006974220276},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5381437540054321},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5030948519706726},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.45962822437286377},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.44548314809799194},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.43533623218536377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4229714870452881},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41226091980934143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3240112364292145},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10608726739883423},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9580098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2572908830","https://openalex.org/W2585123518","https://openalex.org/W2586144707","https://openalex.org/W2787477806","https://openalex.org/W2789758093","https://openalex.org/W2805568747","https://openalex.org/W2810680021","https://openalex.org/W2884485936","https://openalex.org/W2886403947","https://openalex.org/W2887231075","https://openalex.org/W2895311831","https://openalex.org/W2899391809","https://openalex.org/W2901517256","https://openalex.org/W2965832175","https://openalex.org/W2966617151","https://openalex.org/W2973203227","https://openalex.org/W3006405977","https://openalex.org/W3014338004","https://openalex.org/W3113204115","https://openalex.org/W3157115722","https://openalex.org/W4246173615","https://openalex.org/W4377161673"],"related_works":["https://openalex.org/W3124943098","https://openalex.org/W4308112567","https://openalex.org/W3162132941","https://openalex.org/W3128189270","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963"],"abstract_inverted_index":{"Face":[0,17,34],"recognition":[1,115],"technology":[2,19],"has":[3],"made":[4],"countless":[5],"contributions":[6],"in":[7,51,104],"improving":[8],"and":[9,86,100],"changing":[10],"the":[11,28,39,45,48,52,56,70,75,83,88,98,105,137],"world.":[12],"Attendance":[13],"Systems":[14],"utilizing":[15,55],"Real-Time":[16],"Recognition":[18],"is":[20,38,60],"a":[21,63,80,131],"solution":[22],"that":[23,59,124],"can":[24],"efficiently":[25],"carry":[26],"out":[27],"procedure":[29],"of":[30,47,72,90,93,113],"marking":[31],"student":[32,99],"attendance.":[33],"recognition-based":[35],"attendance":[36,46,103],"system":[37,68,109],"process":[40],"by":[41,54,77],"which":[42],"we":[43],"mark":[44,101],"students":[49,73],"present":[50],"classroom":[53],"facial":[57,114],"data":[58],"acquired":[61],"from":[62,82],"surveillance":[64],"camera.":[65],"The":[66],"proposed":[67],"captures":[69],"face":[71,81],"attending":[74],"lecture":[76],"first":[78],"detecting":[79],"video":[84],"input":[85],"with":[87],"help":[89],"an":[91,111],"ensemble":[92,112],"deep":[94],"learning":[95],"models":[96,116],"recognize":[97],"his/her":[102],"database":[106],"[1].":[107],"This":[108],"uses":[110],"such":[117],"as":[118],"VGG-FACE,":[119],"Facenet,":[120],"Openface,":[121],"DeepFace":[122],"so":[123],"it":[125],"may":[126],"be":[127],"able":[128],"to":[129],"yield":[130],"much":[132],"higher":[133],"accuracy":[134],"while":[135],"identifying":[136],"subject.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
