{"id":"https://openalex.org/W3210380380","doi":"https://doi.org/10.1109/icccnt51525.2021.9580042","title":"In-Browser Attendance System using Face Recognition and Serverless Edge Computing","display_name":"In-Browser Attendance System using Face Recognition and Serverless Edge Computing","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3210380380","doi":"https://doi.org/10.1109/icccnt51525.2021.9580042","mag":"3210380380"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9580042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580042","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/A5102425142","display_name":"Deepak A. Yadav","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Deepak Yadav","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035776325","display_name":"Sarthak Maniar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarthak Maniar","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033848189","display_name":"Krish Sukhani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krish Sukhani","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088606075","display_name":"Kailas Devadkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kailas Devadkar","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102425142"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61676471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9986000061035156,"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/T11448","display_name":"Face recognition and analysis","score":0.9986000061035156,"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/T10057","display_name":"Face and Expression Recognition","score":0.9857000112533569,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.98089998960495,"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":0.7693993449211121},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7642492651939392},{"id":"https://openalex.org/keywords/attendance","display_name":"Attendance","score":0.615752100944519},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5716953873634338},{"id":"https://openalex.org/keywords/face-recognition-grand-challenge","display_name":"Face Recognition Grand Challenge","score":0.5418837666511536},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.5317021012306213},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5303735733032227},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.37962812185287476},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3740600347518921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3633664548397064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2572423219680786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693993449211121},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7642492651939392},{"id":"https://openalex.org/C2778173179","wikidata":"https://www.wikidata.org/wiki/Q25339289","display_name":"Attendance","level":2,"score":0.615752100944519},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5716953873634338},{"id":"https://openalex.org/C191070858","wikidata":"https://www.wikidata.org/wiki/Q5428343","display_name":"Face Recognition Grand Challenge","level":5,"score":0.5418837666511536},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5317021012306213},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5303735733032227},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.37962812185287476},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3740600347518921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3633664548397064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2572423219680786},{"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/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/icccnt51525.2021.9580042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580042","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,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1529059273","https://openalex.org/W2782139629","https://openalex.org/W2920889198","https://openalex.org/W2964524716","https://openalex.org/W2971667228","https://openalex.org/W2976203409","https://openalex.org/W2985559999","https://openalex.org/W3011298173","https://openalex.org/W3042605168","https://openalex.org/W3103641039","https://openalex.org/W3108491721","https://openalex.org/W3116354682","https://openalex.org/W3119430787","https://openalex.org/W3127398063","https://openalex.org/W3128321410","https://openalex.org/W6788263637"],"related_works":["https://openalex.org/W2127800163","https://openalex.org/W2733844492","https://openalex.org/W2336272890","https://openalex.org/W4285815683","https://openalex.org/W4308999381","https://openalex.org/W4308999963","https://openalex.org/W4312238398","https://openalex.org/W325114128","https://openalex.org/W3211418293","https://openalex.org/W4312081214"],"abstract_inverted_index":{"Because":[0],"of":[1,31,66,88,96,133,187],"Covid-19,":[2],"schools,":[3],"colleges,":[4],"and":[5,17,108,126,165,215,266],"institutions":[6],"have":[7,84],"moved":[8],"to":[9,19,37,120,141,170,176,205],"online":[10,25],"learning.":[11],"The":[12,34],"education":[13,52],"system":[14,168,174],"has":[15,136],"encountered":[16],"continues":[18],"encounter":[20],"various":[21],"challenges":[22],"in":[23,27,49,158,219,245,264,270],"this":[24],"format":[26],"managing":[28],"the":[29,32,40,50,56,93,100,115,123,159,167,181,185,192,210,251,259,268,273],"attendance":[30,68,71,214,269],"students.":[33],"teacher":[35],"used":[36],"call":[38],"out":[39],"students'":[41],"roll":[42],"numbers":[43],"or":[44,255],"names":[45],"when":[46],"they":[47,202],"were":[48],"physical":[51],"mode.":[53],"Nowadays":[54],"as":[55,70,99,147],"world":[57],"is":[58,92,198],"developing":[59],"towards":[60],"a":[61,86,106,111,194,220],"digital":[62],"era,":[63],"numerous":[64],"techniques":[65],"collecting":[67],"such":[69,146],"via":[72],"biometric":[73],"technologies":[74],"like":[75],"eye":[76],"recognition,":[77,81],"face":[78,101,142,178,232],"scanning,":[79],"voice":[80],"fingerprint":[82],"analysis":[83],"earned":[85],"lot":[87,132],"fame.":[89],"Face":[90,223,229,237],"recognition":[91,143,179,233],"most":[94],"efficient":[95],"these":[97,248],"approaches":[98],"can":[102,203],"be":[103],"captured":[104],"using":[105,110,144,262],"camera":[107],"compared":[109],"trained":[112],"model,":[113],"but":[114],"others":[116],"are":[117,155],"more":[118,242],"complex":[119],"implement":[121],"at":[122],"user":[124],"end,":[125],"some":[127],"even":[128],"need":[129],"hardware.":[130],"A":[131,240],"research":[134],"work":[135],"been":[137],"already":[138],"done":[139,226,235],"related":[140],"models":[145,243],"YOLO,":[148],"MTCNN,":[149],"FaceNet,":[150],"HOG,":[151],"LBPH,":[152],"C2D-CNN.":[153],"Models":[154],"usually":[156],"loaded":[157],"backend":[160],"which":[161,201],"causes":[162],"latency":[163],"issues":[164],"makes":[166],"inefficient":[169],"use.":[171],"Our":[172],"proposed":[173],"aims":[175],"perform":[177],"within":[180],"browser":[182],"itself":[183],"with":[184,227,236,247],"help":[186],"serverless":[188],"edge":[189],"computing.":[190],"For":[191],"students,":[193],"simple":[195],"web":[196],"portal":[197],"developed,":[199],"from":[200,253],"navigate":[204],"our":[206],"plugin":[207],"extension,":[208],"where":[209],"model":[211],"will":[212],"capture":[213],"dynamically":[216],"update":[217],"it":[218],"Google":[221],"Sheet.":[222],"detection":[224],"was":[225,234],"Tiny":[228],"Detector,":[230],"while":[231],"Recognition":[238],"Net.":[239],"few":[241],"operate":[244],"conjunction":[246],"two,":[249],"recognizing":[250],"student":[252],"his":[254],"her":[256],"livestream,":[257],"checking":[258],"student's":[260],"authenticity":[261],"logged":[263],"credentials,":[265],"updating":[267],"real-time":[271],"across":[272],"browser.":[274]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}