{"id":"https://openalex.org/W3022524956","doi":"https://doi.org/10.1145/3384544.3384567","title":"Real Time Face Recognition on an Edge Computing Device","display_name":"Real Time Face Recognition on an Edge Computing Device","publication_year":2020,"publication_date":"2020-02-18","ids":{"openalex":"https://openalex.org/W3022524956","doi":"https://doi.org/10.1145/3384544.3384567","mag":"3022524956"},"language":"en","primary_location":{"id":"doi:10.1145/3384544.3384567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384544.3384567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","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/A5102862201","display_name":"Samarth Gupta","orcid":"https://orcid.org/0009-0000-1504-5402"},"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":true,"raw_author_name":"Samarth Gupta","raw_affiliation_strings":["Birla Institute of Technology and Science, Pilani, Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science, Pilani, Rajasthan, India","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102862201"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47680984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"110","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9983000159263611,"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/facial-recognition-system","display_name":"Facial recognition system","score":0.8456255197525024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8257277011871338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022830247879028},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6252627372741699},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5941928029060364},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4797466993331909},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4717567563056946},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.46824634075164795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4402502179145813},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4323383867740631},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4242575466632843},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4218204617500305},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.383217453956604},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.10996109247207642}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.8456255197525024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257277011871338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022830247879028},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6252627372741699},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5941928029060364},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4797466993331909},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4717567563056946},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.46824634075164795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4402502179145813},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4323383867740631},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4242575466632843},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4218204617500305},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.383217453956604},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.10996109247207642},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3384544.3384567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384544.3384567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6399999856948853,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W9976222","https://openalex.org/W1578352865","https://openalex.org/W1999533590","https://openalex.org/W2012158596","https://openalex.org/W2019464758","https://openalex.org/W2102897151","https://openalex.org/W2124351082","https://openalex.org/W2130982917","https://openalex.org/W2144354855","https://openalex.org/W2145287260","https://openalex.org/W2161308290","https://openalex.org/W2165698076","https://openalex.org/W2165731615","https://openalex.org/W2183498030","https://openalex.org/W2314044134","https://openalex.org/W2317349489","https://openalex.org/W2324567055","https://openalex.org/W2325939864","https://openalex.org/W2332086115","https://openalex.org/W2392395307","https://openalex.org/W2541147637","https://openalex.org/W2553910756","https://openalex.org/W2568772110","https://openalex.org/W2885018469","https://openalex.org/W2909457117","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2336272890","https://openalex.org/W4322761281","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4238233472","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W3111395152"],"abstract_inverted_index":{"Face":[0],"recognition":[1,48,87,138,157,179],"systems":[2,8,83,88,139,158],"have":[3,27,40,55,65,89,126],"vast":[4],"applications":[5,135],"in":[6,35,45,75],"surveillance":[7],"and":[9,69,72,81,95,140,159],"human-computer":[10],"interactions.":[11],"Different":[12],"approaches":[13],"such":[14,58,78],"as":[15,59,79,124],"Principal":[16],"Component":[17],"Analysis,":[18],"Fisher":[19],"linear":[20],"discriminant":[21],"analysis,":[22],"Convolutional":[23],"Neural":[24,119],"Networks":[25],"(CNN)":[26],"been":[28],"commonly":[29],"used":[30,143],"for":[31,144],"face":[32,47,86,137,145,156,178],"recognition.":[33,146],"However,":[34],"the":[36,117,150],"recent":[37],"times,":[38],"CNN's":[39],"shown":[41],"quite":[42],"promising":[43],"results":[44],"various":[46,141],"systems.":[49],"But,":[50],"deep":[51,106,153],"learning":[52,107,154],"based":[53,114,155,177],"CNNs":[54],"many":[56],"limitations":[57,151],"they":[60,125],"require":[61],"extensive":[62],"training":[63],"data,":[64],"excessively":[66],"high":[67],"computational":[68],"cooling":[70],"requirements,":[71],"lack":[73],"flexibility":[74],"deployment.":[76],"Fields":[77],"robotics":[80],"embedded":[82],"that":[84],"deploy":[85,105,174],"significantly":[90],"less":[91],"power":[92],"on":[93,109,181],"board":[94],"limited":[96],"heat":[97],"dissipation":[98],"capacity.":[99],"Therefore,":[100],"it":[101],"becomes":[102],"difficult":[103],"to":[104,173],"models":[108],"them":[110],"but":[111],"edge":[112],"computing":[113],"devices":[115,163],"like":[116],"Intel":[118],"Stick":[120],"bridge":[121],"this":[122,130],"gap":[123],"certain":[127],"advantages.":[128],"In":[129],"paper,":[131],"we":[132],"review":[133],"different":[134],"of":[136,152],"algorithms":[142],"We":[147,168],"then":[148,169],"elaborate":[149],"examine":[160],"how":[161],"edge-computing":[162,183],"can":[164],"solve":[165],"these":[166],"problems.":[167],"present":[170],"a":[171,175],"flowchart":[172],"CNN":[176],"model":[180],"an":[182],"device.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}