{"id":"https://openalex.org/W4206523839","doi":"https://doi.org/10.1145/3484824.3484903","title":"Real-Time Face Detection and Recognition on Raspberry Pi using LBP and Deep Learning","display_name":"Real-Time Face Detection and Recognition on Raspberry Pi using LBP and Deep Learning","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W4206523839","doi":"https://doi.org/10.1145/3484824.3484903"},"language":"en","primary_location":{"id":"doi:10.1145/3484824.3484903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","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/A5110837038","display_name":"Venkata Kranthi B","orcid":null},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Venkata Kranthi B","raw_affiliation_strings":["ECE Department, GIT AM University and K.S.Institute of Technology, VTU Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"ECE Department, GIT AM University and K.S.Institute of Technology, VTU Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I885392262"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054848365","display_name":"Surekha Borra","orcid":"https://orcid.org/0000-0002-1842-806X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Surekha Borra","raw_affiliation_strings":["ECE Department, K.S. Institute of Technology, Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"ECE Department, K.S. Institute of Technology, Bengaluru, Karnataka, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110837038"],"corresponding_institution_ids":["https://openalex.org/I885392262"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62478758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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/T11448","display_name":"Face recognition and analysis","score":0.9977999925613403,"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":0.9976000189781189,"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":0.810289740562439},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7812574505805969},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.7655329704284668},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.7353661060333252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7320712208747864},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6887978315353394},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6663708686828613},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6065717339515686},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5903189182281494},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.578402578830719},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.517841637134552},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4933992922306061},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.4887228012084961},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4225860834121704},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4193430244922638},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.41286277770996094},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.15924116969108582},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12704870104789734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810289740562439},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7812574505805969},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7655329704284668},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.7353661060333252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7320712208747864},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6887978315353394},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6663708686828613},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6065717339515686},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5903189182281494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.578402578830719},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.517841637134552},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4933992922306061},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.4887228012084961},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4225860834121704},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4193430244922638},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.41286277770996094},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.15924116969108582},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12704870104789734},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3484824.3484903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"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":30,"referenced_works":["https://openalex.org/W1577740622","https://openalex.org/W2036077437","https://openalex.org/W2152404412","https://openalex.org/W2163808566","https://openalex.org/W2164598857","https://openalex.org/W2181886201","https://openalex.org/W2409805034","https://openalex.org/W2411954027","https://openalex.org/W2487721432","https://openalex.org/W2520623877","https://openalex.org/W2528192238","https://openalex.org/W2533177040","https://openalex.org/W2555671395","https://openalex.org/W2562023448","https://openalex.org/W2755308505","https://openalex.org/W2760925286","https://openalex.org/W2769332379","https://openalex.org/W2894916481","https://openalex.org/W2924859504","https://openalex.org/W2937845147","https://openalex.org/W2981812395","https://openalex.org/W2991306121","https://openalex.org/W2998153539","https://openalex.org/W3020105295","https://openalex.org/W3069533333","https://openalex.org/W3093632149","https://openalex.org/W3118376411","https://openalex.org/W3137381425","https://openalex.org/W3138379730","https://openalex.org/W3143842863"],"related_works":["https://openalex.org/W2431444032","https://openalex.org/W3009637957","https://openalex.org/W4206923589","https://openalex.org/W4321608871","https://openalex.org/W4385451546","https://openalex.org/W3187748155","https://openalex.org/W3006189187","https://openalex.org/W4210896356","https://openalex.org/W3016610597","https://openalex.org/W4285815683"],"abstract_inverted_index":{"Advancement":[0],"in":[1,6,11,28,44,80,108,124,133,159],"low":[2],"power":[3],"embedded":[4,19],"systems":[5,20],"recent":[7],"years":[8],"help":[9],"us":[10],"building":[12],"portable":[13],"real-time":[14],"algorithms":[15],"and":[16,41,58,88,96,110,120,128,154,164,169],"applications.":[17,47],"These":[18],"can":[21],"be":[22],"integrated":[23],"into":[24],"the":[25,142,173],"Cameras":[26],"used":[27],"Surveillance":[29],"Systems":[30],"to":[31],"provide":[32],"additional":[33],"mid-level":[34],"computer":[35],"vision":[36],"tasks":[37,102],"like":[38,83],"face":[39,42,51,61,81,99],"detection":[40,52,168],"recognition":[43,62,170],"person":[45],"identification":[46,82],"This":[48],"paper":[49],"proposes":[50],"using":[53,63],"Local":[54],"Binary":[55],"Patterns":[56],"(LBP)":[57],"Haar":[59,121],"cascades-based":[60],"Convolutional":[64],"Neural":[65],"Networks":[66],"(CNN)":[67],"derived":[68],"from":[69],"Lenet":[70],"architecture.":[71],"A":[72],"database":[73],"is":[74],"created":[75],"covering":[76],"all":[77],"challenges":[78],"involved":[79],"illumination,":[84],"orientation,":[85],"expressions,":[86],"disguise,":[87],"age":[89],"factors.":[90],"Two":[91],"CNN":[92],"architectures":[93],"are":[94,103,139,157],"proposed":[95],"compared":[97],"for":[98],"recognition.":[100],"The":[101,135],"performed":[104],"on":[105,116,162],"Raspberry":[106],"Pi":[107],"real-time,":[109],"analysis":[111],"has":[112],"been":[113],"carried":[114],"out":[115],"how":[117],"well":[118],"LBP":[119],"cascades":[122],"work":[123],"terms":[125],"of":[126,145],"accuracy":[127,149],"Frames":[129],"per":[130],"second":[131],"(FPS)":[132],"real-time.":[134],"realtime":[136],"results":[137],"achieved":[138],"acceptable":[140],"with":[141,148],"frame":[143,155,165,174],"rate":[144],"7.04":[146],"FPS":[147],"above":[150],"94%.":[151],"Frame":[152],"reading":[153],"processing":[156],"handled":[158],"separate":[160],"threads":[161],"CPU":[163],"skipping,":[166],"while":[167],"have":[171],"improved":[172],"rates":[175],"significantly.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}