{"id":"https://openalex.org/W7130391126","doi":"https://doi.org/10.1109/tencon66050.2025.11374968","title":"Scalable Face Recognition with Multiple Deep Learning Model Integration","display_name":"Scalable Face Recognition with Multiple Deep Learning Model Integration","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7130391126","doi":"https://doi.org/10.1109/tencon66050.2025.11374968"},"language":null,"primary_location":{"id":"doi:10.1109/tencon66050.2025.11374968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11374968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","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/A5084346413","display_name":"Pawan K. Ajmera","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pawan K. Ajmera","raw_affiliation_strings":["Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046779732","display_name":"Ramakant Soni","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ramakant Soni","raw_affiliation_strings":["Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126304906","display_name":"Anmol Mathur","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anmol Mathur","raw_affiliation_strings":["Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126316660","display_name":"Jayesh Harlalka","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayesh Harlalka","raw_affiliation_strings":["Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092176148","display_name":"Vipin Kumar Saraogi","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vipin Saraogi","raw_affiliation_strings":["Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science,Pilani Campus,Department of EEE,Pilani,India","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":1.4136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87842171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9484000205993652,"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":0.9484000205993652,"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":0.011599999852478504,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.006800000090152025,"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/scalability","display_name":"Scalability","score":0.6315000057220459},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5913000106811523},{"id":"https://openalex.org/keywords/liveness","display_name":"Liveness","score":0.5679000020027161},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5554999709129333},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5425999760627747},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4672999978065491},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4348999857902527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228000164031982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708299994468689},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6315000057220459},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5913000106811523},{"id":"https://openalex.org/C15569618","wikidata":"https://www.wikidata.org/wiki/Q3561421","display_name":"Liveness","level":2,"score":0.5679000020027161},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5564000010490417},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5554999709129333},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4672999978065491},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4348999857902527},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28049999475479126},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.26440000534057617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon66050.2025.11374968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11374968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7119445204734802}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1644402181","https://openalex.org/W1981578346","https://openalex.org/W2138451337","https://openalex.org/W2145287260","https://openalex.org/W2164598857","https://openalex.org/W2612229110","https://openalex.org/W2962898354","https://openalex.org/W3166898278","https://openalex.org/W4286904999","https://openalex.org/W4316036513"],"related_works":[],"abstract_inverted_index":{"This":[0,21,143],"paper":[1,144],"presents":[2],"the":[3,38,74,127,134,152],"design":[4],"of":[5,37,77,81,88,108,129],"a":[6,29,65,84,146],"scalable":[7],"face":[8,42,48],"recognition":[9,178],"system":[10,95,117],"to":[11,98,140],"address":[12],"real-world":[13],"challenges":[14],"including":[15],"illumination-variation,":[16],"occlusions":[17],"and":[18,47,56,83,105,136,160,179],"motion":[19],"blur.":[20],"proposed":[22],"method":[23],"integrates":[24],"multiple":[25],"state-of-the-art":[26],"models":[27],"into":[28],"unified":[30],"pipeline:":[31],"YOLOv5-Face":[32],"is":[33,96],"used":[34],"for":[35,41,51,58,119,149,167,175],"preparation":[36],"dataset,":[39],"SCRFD":[40],"detection":[43],"with":[44,102],"high":[45],"accuracy":[46,76,80,135],"alignment,":[49],"ArcFace":[50],"discriminative":[52],"feature":[53],"embedding":[54],"generation":[55],"BYTETracker":[57],"continuous":[59],"multi-face":[60],"tracking.":[61],"Experimentations":[62],"conducted":[63],"on":[64],"locally":[66],"generated":[67],"dataset":[68],"demonstrate":[69],"strong":[70],"performance":[71,101],"by":[72],"achieving":[73],"training":[75],"90.13%,":[78],"validation":[79],"89.02%,":[82],"ROC":[85],"AUC":[86],"score":[87],"0.":[89],"9":[90,92],"5":[91],"2.":[93],"The":[94,123],"able":[97],"sustain":[99],"real-time":[100],"25-30":[103],"FPS":[104],"low":[106,176],"latency":[107],"33-40":[109],"ms":[110],"per":[111],"frame.":[112],"These":[113],"results":[114,124],"make":[115],"this":[116],"suitable":[118],"largescale":[120],"surveillance":[121],"applications.":[122],"also":[125,164],"highlight":[126],"effectiveness":[128],"multi-model":[130],"integration":[131],"in":[132,151],"improving":[133],"adaptability":[137],"when":[138],"compared":[139],"traditional":[141],"approaches.":[142],"contributes":[145],"practical":[147],"solution":[148],"deployment":[150],"domains":[153],"such":[154],"as":[155],"campus":[156],"surveillance,":[157],"access":[158],"control":[159],"crowd":[161],"monitoring.":[162],"It":[163],"provides":[165],"foundation":[166],"future":[168],"work":[169],"which":[170],"include":[171],"liveness":[172],"detection,":[173],"super-resolution":[174],"resolution":[177],"lightweight":[180],"edge-compatible":[181],"model":[182],"implementation.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-19T00:00:00"}