{"id":"https://openalex.org/W2808444378","doi":"https://doi.org/10.1145/3206025.3210493","title":"NEC's Object Recognition Technologies and their Industrial Applications","display_name":"NEC's Object Recognition Technologies and their Industrial Applications","publication_year":2018,"publication_date":"2018-06-05","ids":{"openalex":"https://openalex.org/W2808444378","doi":"https://doi.org/10.1145/3206025.3210493","mag":"2808444378"},"language":"en","primary_location":{"id":"doi:10.1145/3206025.3210493","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206025.3210493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval","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/A5091626144","display_name":"Kota Iwamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kota Iwamoto","raw_affiliation_strings":["NEC Corporation, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091626144"],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07167139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730325818061829},{"id":"https://openalex.org/keywords/traceability","display_name":"Traceability","score":0.6183148622512817},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5165959596633911},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48842278122901917},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4674108326435089},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4518411457538605},{"id":"https://openalex.org/keywords/feature-recognition","display_name":"Feature recognition","score":0.44861406087875366},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4411270022392273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4104244112968445},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3166799545288086},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1431313157081604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730325818061829},{"id":"https://openalex.org/C153876917","wikidata":"https://www.wikidata.org/wiki/Q899704","display_name":"Traceability","level":2,"score":0.6183148622512817},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5165959596633911},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48842278122901917},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4674108326435089},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4518411457538605},{"id":"https://openalex.org/C180863505","wikidata":"https://www.wikidata.org/wiki/Q5439687","display_name":"Feature recognition","level":3,"score":0.44861406087875366},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4411270022392273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4104244112968445},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3166799545288086},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1431313157081604},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1145/3206025.3210493","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206025.3210493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1528044252","https://openalex.org/W4210656569","https://openalex.org/W3015928229","https://openalex.org/W2728071886","https://openalex.org/W4320197069","https://openalex.org/W2536452361","https://openalex.org/W2372904789","https://openalex.org/W2207218974","https://openalex.org/W4319590930","https://openalex.org/W2266302971"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,15,158,178,248],"image":[3,8,105],"recognition":[4,28,57,162,256],"technologies":[5,29,58],"has":[6],"enabled":[7],"recognition-based":[9],"systems":[10],"to":[11,98,127,228],"be":[12,80,128],"widely":[13],"used":[14],"real":[16],"world":[17],"applications.":[18],"In":[19,239],"this":[20,147],"talk,":[21,241],"I":[22,92,182,242],"will":[23,93,183,243],"introduce":[24],"NEC's":[25],"image-based":[26,55,254],"object":[27,56,255],"targeted":[30],"for":[31,139,164,173],"recognizing":[32],"various":[33,140],"manufactured":[34,197],"goods":[35,66],"and":[36,42,52,62,67,75,137,143,152,168,175,201],"retail":[37,165,179],"products":[38,68],"from":[39,102],"a":[40,96,103,115,218,236],"camera,":[41],"talk":[43,94,184],"about":[44,95,185],"their":[45,70,207],"industrial":[46,251],"applications":[47,252],"which":[48,77,132,225],"we":[49,149],"have":[50,150,216],"developed":[51,151],"commercialized.":[53],"These":[54],"enable":[59],"highly":[60],"efficient":[61],"cost-effective":[63],"management":[64],"of":[65,88,109,125,188,195,206,220,253],"throughout":[69],"life-cycle":[71],"(manufacturing,":[72],"distribution,":[73],"retail,":[74],"consumption),":[76],"otherwise":[78],"cannot":[79],"achieved":[81],"by":[82,86,203],"human":[83,135,213],"labor":[84,136],"or":[85],"use":[87],"ID":[89],"tags.":[90],"Firstly,":[91],"technology":[97],"recognize":[99],"multiple":[100],"objects":[101,126],"single":[104],"using":[106,235],"feature":[107],"matching":[108],"compact":[110],"local":[111],"descriptors,":[112],"combined":[113],"with":[114],"more":[116],"recent":[117],"Deep":[118],"Learning-based":[119],"recognition.":[120],"It":[121,191],"enables":[122,192,226],"large":[123],"number":[124],"recognized":[129],"at":[130],"once,":[131],"greatly":[133],"reduces":[134],"time":[138],"product":[141,155],"inspection":[142,156],"checking":[144],"works.":[145],"Using":[146],"technology,":[148],"commercialized":[153],"the":[154,160,169,186,232,240,245],"system":[157,163,172],"warehouses,":[159],"planogram":[161],"shop":[166],"shelves,":[167],"self-service":[170],"POS":[171],"easy-to-use":[174],"fast":[176],"checkout":[177],"stores.":[180],"Secondly,":[181],"\"Fingerprint":[187],"Things''":[189],"technology.":[190],"individual":[193,233],"identification":[194],"tiny":[196],"parts":[198,222,234],"(e.g.":[199],"bolts":[200],"nuts)":[202],"identifying":[204],"images":[205],"unique":[208],"surface":[209],"patterns,":[210],"just":[211],"like":[212],"fingerprints.":[214],"We":[215],"built":[217],"prototype":[219],"mass-produced":[221],"traceability":[223],"system,":[224],"users":[227],"easily":[229],"track":[230],"down":[231],"mobile":[237],"device.":[238],"explain":[244],"key":[246],"issues":[247],"realizing":[249],"these":[250],"technologies.":[257]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}