{"id":"https://openalex.org/W4411324901","doi":"https://doi.org/10.33480/jitk.v10i4.6260","title":"OPTIMIZING TRANSPORTATION SURVEILLANCE WITH YOLOV7: DETECTION AND CLASSIFICATION OF VEHICLE LICENSE PLATE COLORS","display_name":"OPTIMIZING TRANSPORTATION SURVEILLANCE WITH YOLOV7: DETECTION AND CLASSIFICATION OF VEHICLE LICENSE PLATE COLORS","publication_year":2025,"publication_date":"2025-05-30","ids":{"openalex":"https://openalex.org/W4411324901","doi":"https://doi.org/10.33480/jitk.v10i4.6260"},"language":"en","primary_location":{"id":"doi:10.33480/jitk.v10i4.6260","doi":"https://doi.org/10.33480/jitk.v10i4.6260","is_oa":true,"landing_page_url":"https://doi.org/10.33480/jitk.v10i4.6260","pdf_url":"https://ejournal.nusamandiri.ac.id/index.php/jitk/article/download/6260/1422","source":{"id":"https://openalex.org/S4210190324","display_name":"JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer)","issn_l":"2527-4864","issn":["2527-4864","2685-8223"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405257939","host_organization_name":"Universitas Nusa Mandiri","host_organization_lineage":["https://openalex.org/I4405257939"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ejournal.nusamandiri.ac.id/index.php/jitk/article/download/6260/1422","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019896482","display_name":"Ridho Sholehurrohman","orcid":"https://orcid.org/0000-0002-4854-7748","observed_orcids":["https://orcid.org/0000-0002-4854-7748"]},"institutions":[{"id":"https://openalex.org/I4210132611","display_name":"Informatics and Business Institute Darmajaya","ror":"https://ror.org/039xcs474","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210132611"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ridho Sholehurrohman","raw_affiliation_strings":["Institut Informatika Dan Bisnis Darmajaya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Informatika Dan Bisnis Darmajaya","institution_ids":["https://openalex.org/I4210132611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033573318","display_name":"Kurnia Muludi","orcid":"https://orcid.org/0000-0002-1234-018X","observed_orcids":["https://orcid.org/0000-0002-1234-018X"]},"institutions":[{"id":"https://openalex.org/I4210132611","display_name":"Informatics and Business Institute Darmajaya","ror":"https://ror.org/039xcs474","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210132611"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kurnia Muludi","raw_affiliation_strings":["Institut Informatika Dan Bisnis Darmajaya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Informatika Dan Bisnis Darmajaya","institution_ids":["https://openalex.org/I4210132611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046989332","display_name":"Joko Triloka","orcid":"https://orcid.org/0000-0002-6700-8432","observed_orcids":["https://orcid.org/0000-0002-6700-8432"]},"institutions":[{"id":"https://openalex.org/I4210132611","display_name":"Informatics and Business Institute Darmajaya","ror":"https://ror.org/039xcs474","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210132611"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Joko Triloka","raw_affiliation_strings":["Institut Informatika Dan Bisnis Darmajaya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Informatika Dan Bisnis Darmajaya","institution_ids":["https://openalex.org/I4210132611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210132611"],"apc_list":null,"apc_paid":null,"fwci":0.4789,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5439107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"10","issue":"4","first_page":"812","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9980000257492065,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9980000257492065,"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":0.0017000000225380063,"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":0.00019999999494757503,"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/yolov7","display_name":"YOLOv7","score":0.9879999756813049},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.6809999942779541},{"id":"https://openalex.org/keywords/real-time-detection","display_name":"real-time detection","score":0.5799999833106995},{"id":"https://openalex.org/keywords/vehicle-recognition","display_name":"vehicle identification","score":0.6100000143051147}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.7399042844772339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47223684191703796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3869611620903015},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.38663747906684875},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35706013441085815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3488002419471741},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20124831795692444},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06321650743484497}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.33480/jitk.v10i4.6260","doi":"https://doi.org/10.33480/jitk.v10i4.6260","is_oa":true,"landing_page_url":"https://doi.org/10.33480/jitk.v10i4.6260","pdf_url":"https://ejournal.nusamandiri.ac.id/index.php/jitk/article/download/6260/1422","source":{"id":"https://openalex.org/S4210190324","display_name":"JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer)","issn_l":"2527-4864","issn":["2527-4864","2685-8223"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405257939","host_organization_name":"Universitas Nusa Mandiri","host_organization_lineage":["https://openalex.org/I4405257939"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.33480/jitk.v10i4.6260","doi":"https://doi.org/10.33480/jitk.v10i4.6260","is_oa":true,"landing_page_url":"https://doi.org/10.33480/jitk.v10i4.6260","pdf_url":"https://ejournal.nusamandiri.ac.id/index.php/jitk/article/download/6260/1422","source":{"id":"https://openalex.org/S4210190324","display_name":"JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer)","issn_l":"2527-4864","issn":["2527-4864","2685-8223"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405257939","host_organization_name":"Universitas Nusa Mandiri","host_organization_lineage":["https://openalex.org/I4405257939"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer)","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9"},{"display_name":"Sustainable cities and communities","score":0.5142999887466431,"id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411324901.pdf","grobid_xml":"https://content.openalex.org/works/W4411324901.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W3108988472","https://openalex.org/W4297549407","https://openalex.org/W4310428497","https://openalex.org/W4320732144","https://openalex.org/W4321596265","https://openalex.org/W4322576411","https://openalex.org/W4323667857","https://openalex.org/W4327728495","https://openalex.org/W4368246511","https://openalex.org/W4376622753","https://openalex.org/W4382059335","https://openalex.org/W4385421912","https://openalex.org/W4385830559","https://openalex.org/W4386076325","https://openalex.org/W4386212367","https://openalex.org/W4391659952","https://openalex.org/W4399759399","https://openalex.org/W4400033311","https://openalex.org/W4401895040","https://openalex.org/W4405446156"],"related_works":["https://openalex.org/W7162124733","https://openalex.org/W7110590151","https://openalex.org/W4415604439","https://openalex.org/W7166582457","https://openalex.org/W4408441943","https://openalex.org/W4415744674","https://openalex.org/W7117772762","https://openalex.org/W2980037669","https://openalex.org/W4415455077","https://openalex.org/W7124830449"],"abstract_inverted_index":{"Optimizing":[0,176],"transportation":[1,74,188],"surveillance":[2,83,156],"requires":[3],"accurate":[4],"vehicle":[5,37,78,125],"license":[6,38,126],"plate":[7,33,67,93,104,127],"color":[8,68,128],"detection":[9,88,129,174],"and":[10,22,32,48,61,80,112,133,150,168,185],"classification;":[11],"however,":[12],"existing":[13],"systems":[14,84],"face":[15],"significant":[16],"challenges":[17],"in":[18,25,73,91,95,109,139],"achieving":[19],"real-time":[20,87],"accuracy":[21],"robustness,":[23],"particularly":[24],"crowded":[26,96],"traffic":[27],"scenarios":[28],"with":[29,86],"varying":[30],"lighting":[31],"conditions.":[34],"In":[35],"Indonesia,":[36],"plates":[39],"are":[40],"color-coded":[41],"based":[42],"on":[43],"their":[44],"usage,":[45],"including":[46],"white":[47],"black":[49],"for":[50,54,58,63,155],"private":[51],"vehicles,":[52,56,60],"yellow":[53],"public":[55],"red":[57],"government":[59],"green":[62],"free-trade":[64],"areas.":[65],"Each":[66],"plays":[69],"a":[70],"crucial":[71],"role":[72],"management,":[75],"enabling":[76],"proper":[77],"identification":[79],"regulation.":[81],"Existing":[82],"struggle":[85],"accuracy,":[89,183],"especially":[90],"distinguishing":[92,136],"colors":[94,105],"traffic.":[97],"Traditional":[98],"methods":[99],"may":[100],"not":[101],"efficiently":[102],"classify":[103],"due":[106],"to":[107,123,152],"limitations":[108],"feature":[110],"extraction":[111],"processing.":[113],"To":[114],"address":[115],"this,":[116],"this":[117],"study":[118],"implements":[119],"the":[120,177],"YOLOv7":[121],"model":[122],"improve":[124],"(black,":[130],"white,":[131],"yellow,":[132],"red)":[134],"while":[135],"non-plate":[137],"vehicles":[138],"diverse":[140],"scenarios.":[141],"The":[142],"model's":[143],"effectiveness":[144],"is":[145],"evaluated":[146],"using":[147],"precision,":[148],"recall,":[149],"F1-score":[151,169],"ensure":[153],"robustness":[154],"applications.":[157],"Results":[158],"show":[159],"an":[160],"average":[161],"precision":[162],"of":[163,166,170],"95.27%,":[164],"recall":[165],"94.60%,":[167],"94.93%,":[171],"demonstrating":[172],"strong":[173],"capabilities.":[175],"Non-Plate":[178],"category":[179],"further":[180],"improves":[181],"system":[182],"efficiency,":[184],"scalability,":[186],"enhancing":[187],"monitoring":[189],"reliability.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-10-10T00:00:00"}
