{"id":"https://openalex.org/W4410086901","doi":"https://doi.org/10.1109/ccnc54725.2025.10976142","title":"Efficient Edge AI Based Annotation and Detection Framework for Logistics Warehouses","display_name":"Efficient Edge AI Based Annotation and Detection Framework for Logistics Warehouses","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410086901","doi":"https://doi.org/10.1109/ccnc54725.2025.10976142"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc54725.2025.10976142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc54725.2025.10976142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd Consumer Communications &amp;amp; Networking Conference (CCNC)","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/A5033106552","display_name":"Yuki Mori","orcid":"https://orcid.org/0000-0002-9320-826X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Mori","raw_affiliation_strings":["Nagoya University,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003467818","display_name":"Yusuke Asai","orcid":"https://orcid.org/0000-0002-6506-2910"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Asai","raw_affiliation_strings":["Nagoya University,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070325267","display_name":"Keisuke Higashiura","orcid":"https://orcid.org/0009-0006-2170-552X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kesuke Higashiura","raw_affiliation_strings":["Nagoya University,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002452411","display_name":"Shin Katayama","orcid":"https://orcid.org/0000-0002-5614-4412"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin Katayama","raw_affiliation_strings":["Nagoya University,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044005499","display_name":"Kenta Urano","orcid":"https://orcid.org/0000-0003-2906-537X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Urano","raw_affiliation_strings":["Nagoya University,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083114149","display_name":"Takuro Yonezawa","orcid":"https://orcid.org/0000-0001-9781-0402"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuro Yonezawa","raw_affiliation_strings":["Nagoya University,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045353484","display_name":"Nobuo Kawaguchi","orcid":"https://orcid.org/0000-0002-0444-2290"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuo Kawaguchi","raw_affiliation_strings":["Nagoya University,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University,Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":2.5622,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89427539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9781000018119812,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9781000018119812,"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":0.7186636328697205},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.657029926776886},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.5438538193702698},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5278403759002686},{"id":"https://openalex.org/keywords/warehouse","display_name":"Warehouse","score":0.46953070163726807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31087395548820496},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.28814560174942017},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12490466237068176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186636328697205},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.657029926776886},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.5438538193702698},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5278403759002686},{"id":"https://openalex.org/C50416739","wikidata":"https://www.wikidata.org/wiki/Q181623","display_name":"Warehouse","level":2,"score":0.46953070163726807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31087395548820496},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.28814560174942017},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12490466237068176},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc54725.2025.10976142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc54725.2025.10976142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd Consumer Communications &amp;amp; Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2915734966","display_name":null,"funder_award_id":"222C01,22609","funder_id":"https://openalex.org/F4320335839","funder_display_name":"National Institute of Information and Communications Technology"},{"id":"https://openalex.org/G8652579658","display_name":null,"funder_award_id":"JPNP23003","funder_id":"https://openalex.org/F4320321034","funder_display_name":"New Energy and Industrial Technology Development Organization"}],"funders":[{"id":"https://openalex.org/F4320321034","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"},{"id":"https://openalex.org/F4320335839","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2130103520","https://openalex.org/W2963037989","https://openalex.org/W2988359971","https://openalex.org/W3000086329","https://openalex.org/W3171007011","https://openalex.org/W4291972732","https://openalex.org/W4320472723","https://openalex.org/W4385067482","https://openalex.org/W4390874575","https://openalex.org/W4394711795","https://openalex.org/W4402156667","https://openalex.org/W4402721945","https://openalex.org/W6748816842"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W4405124681","https://openalex.org/W1533177136","https://openalex.org/W2389559488"],"abstract_inverted_index":{"As":[0],"global":[1],"logistics":[2],"demand":[3],"increases,":[4],"improving":[5,151],"the":[6,54,101,108,122,140,145],"efficiency":[7],"of":[8,139],"warehouse":[9,28,98],"operations":[10],"has":[11],"become":[12],"critical.":[13],"To":[14,30],"achieve":[15],"this,":[16],"it's":[17],"crucial":[18],"to":[19,40,53,92,136],"identify":[20],"inefficient":[21],"tasks":[22],"and":[23,44,61,68,77,96,111,150],"layouts":[24],"by":[25],"recognizing":[26],"various":[27],"conditions.":[29],"address":[31],"these":[32],"challenges,":[33],"we've":[34],"constructed":[35],"a":[36,85,134],"large-scale":[37],"camera":[38,118],"infrastructure":[39],"convert":[41],"object":[42,88,103],"positions":[43],"movements":[45],"into":[46],"data.":[47],"However,":[48],"transmitting":[49,73],"all":[50],"video":[51,70],"data":[52,59,71,142,148],"cloud":[55],"results":[56],"in":[57],"significant":[58],"transmission":[60,149],"power":[62,95],"consumption.":[63],"Edge":[64,81],"AI":[65,82],"cameras":[66,83],"analyze":[67],"extract":[69],"locally,":[72],"only":[74],"essential":[75],"information":[76],"significantly":[78],"reducing":[79,147],"them.":[80],"require":[84],"low-computation,":[86],"high-accuracy":[87],"detection":[89],"model":[90],"due":[91],"limited":[93],"computational":[94],"complex":[97],"environments.":[99],"Furthermore,":[100],"same":[102],"appears":[104],"differently":[105],"based":[106],"on":[107,144],"camera's":[109],"position":[110],"angle.":[112],"Therefore,":[113],"customizing":[114],"models":[115],"for":[116],"each":[117],"improves":[119],"accuracy,":[120],"but":[121],"annotation":[123,152],"cost":[124],"would":[125],"be":[126],"very":[127],"high.":[128],"In":[129],"this":[130],"study,":[131],"we":[132],"propose":[133],"method":[135],"perform":[137],"part":[138],"training":[141],"generation":[143],"camera,":[146],"efficiency.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
