{"id":"https://openalex.org/W3208420829","doi":"https://doi.org/10.1109/icccnt51525.2021.9579855","title":"Faster Region Based Convolutional Neural Network and VGG 16 for Multi-Class Tyre Defect Detection","display_name":"Faster Region Based Convolutional Neural Network and VGG 16 for Multi-Class Tyre Defect Detection","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3208420829","doi":"https://doi.org/10.1109/icccnt51525.2021.9579855","mag":"3208420829"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5085748290","display_name":"Ajinkya Pahinkar","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ajinkya Pahinkar","raw_affiliation_strings":["School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062832613","display_name":"Prajval Mohan","orcid":"https://orcid.org/0000-0002-5730-8589"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prajval Mohan","raw_affiliation_strings":["School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084469496","display_name":"Ankita Mandal","orcid":"https://orcid.org/0000-0002-2785-7915"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankita Mandal","raw_affiliation_strings":["School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101856069","display_name":"A. Krishnamoorthy","orcid":"https://orcid.org/0000-0003-4438-9719"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishnamoorthy A","raw_affiliation_strings":["School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085748290"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.2965,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65361871,"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":"01","last_page":"07"},"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":0.9998999834060669,"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":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9966999888420105,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7831346988677979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736208438873291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6674859523773193},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.647834300994873},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5012631416320801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42398500442504883},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4196159243583679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4033690094947815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3894723951816559}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7831346988677979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736208438873291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6674859523773193},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.647834300994873},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5012631416320801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42398500442504883},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4196159243583679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4033690094947815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3894723951816559}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1554518845","https://openalex.org/W2010684688","https://openalex.org/W2017499366","https://openalex.org/W2085709773","https://openalex.org/W2300147725","https://openalex.org/W2897751119","https://openalex.org/W2998234644","https://openalex.org/W3001436122","https://openalex.org/W3011931727","https://openalex.org/W3117582131","https://openalex.org/W3160572708","https://openalex.org/W3171931554","https://openalex.org/W6797803844"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W4380075502"],"abstract_inverted_index":{"This":[0,39],"paper":[1,40],"intends":[2],"to":[3,21,42,53,58,72,111],"create":[4,43],"a":[5,44,60,89,127],"deep-learning":[6],"architecture":[7],"for":[8,62],"training":[9],"models":[10,93],"over":[11],"various":[12,30],"defective":[13],"tyre":[14,25,123],"images":[15],"until":[16],"it":[17,63],"has":[18],"achieved":[19],"intelligence":[20],"distinctly":[22],"classify":[23],"multi-class":[24,122],"defects":[26,33,49],"and":[27,50,82,97,102],"tell":[28],"apart":[29],"types":[31],"of":[32,65,107,131],"in":[34],"tyres":[35],"using":[36,99,126],"computer":[37,113],"vision.":[38],"aims":[41],"system":[45,77],"that":[46,78],"can":[47],"detect":[48],"allow":[51],"professionals":[52],"spend":[54],"more":[55],"time":[56,67],"trying":[57],"find":[59],"fix":[61],"instead":[64],"spending":[66],"diagnosing":[68],"it.":[69],"It":[70],"wishes":[71],"provide":[73],"an":[74],"automated":[75],"Inspection":[76],"is":[79],"both":[80],"reliant":[81],"fast":[83],"with":[84],"improved":[85],"business":[86],"sustainability":[87],"at":[88],"lower":[90],"cost.":[91],"The":[92],"will":[94],"be":[95],"created":[96],"compared":[98],"Faster":[100],"R-CNN":[101],"VGG16,":[103],"the":[104,121],"two":[105],"architectures":[106],"ConvNets":[108],"primarily":[109],"used":[110],"perform":[112],"vision":[114],"tasks":[115],"like":[116],"recognition,":[117],"classifications.":[118],"We":[119],"performed":[120],"defect":[124],"detection":[125],"self-made":[128],"dataset":[129],"consisting":[130],"970":[132],"images.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}