{"id":"https://openalex.org/W4407691310","doi":"https://doi.org/10.1109/dsit61374.2024.10882101","title":"Convolutional Neural Networks based Defect Detection Method for Smart Meter LCD Screen","display_name":"Convolutional Neural Networks based Defect Detection Method for Smart Meter LCD Screen","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4407691310","doi":"https://doi.org/10.1109/dsit61374.2024.10882101"},"language":"en","primary_location":{"id":"doi:10.1109/dsit61374.2024.10882101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10882101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","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/A5105984857","display_name":"Dengke Zhang","orcid":"https://orcid.org/0009-0005-6965-3354"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dengke Zhang","raw_affiliation_strings":["Nanjing Institute of Technology,School of Power Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Power Engineering,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782016","display_name":"Pu Wei","orcid":"https://orcid.org/0000-0001-6629-867X"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pu Wei","raw_affiliation_strings":["Nanjing Institute of Technology,School of Communications and Information Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Communications and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371544","display_name":"Xiaolong Li","orcid":"https://orcid.org/0000-0002-3909-1953"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Li","raw_affiliation_strings":["Nanjing Institute of Technology,School of Information and Communication Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Information and Communication Engineering,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681892","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0001-5783-5728"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Nanjing Institute of Technology,School of Power Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Power Engineering,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032794870","display_name":"Liu Chuan-qing","orcid":"https://orcid.org/0009-0009-4942-5492"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanqing Liu","raw_affiliation_strings":["Nanjing Institute of Technology,School of Communications and Information Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technology,School of Communications and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I2799736854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5105984857"],"corresponding_institution_ids":["https://openalex.org/I2799736854"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40012475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","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":0.9976999759674072,"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":0.9976999759674072,"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/liquid-crystal-display","display_name":"Liquid-crystal display","score":0.7576500773429871},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7061112523078918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6754176020622253},{"id":"https://openalex.org/keywords/metre","display_name":"Metre","score":0.5663038492202759},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.5449742674827576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46240097284317017},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3784435987472534},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37809956073760986},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3381994366645813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14248999953269958},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.14005663990974426},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.07942870259284973},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06053793430328369}],"concepts":[{"id":"https://openalex.org/C128019096","wikidata":"https://www.wikidata.org/wiki/Q83341","display_name":"Liquid-crystal display","level":2,"score":0.7576500773429871},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7061112523078918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754176020622253},{"id":"https://openalex.org/C151011524","wikidata":"https://www.wikidata.org/wiki/Q11573","display_name":"Metre","level":2,"score":0.5663038492202759},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.5449742674827576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46240097284317017},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3784435987472534},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37809956073760986},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3381994366645813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14248999953269958},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.14005663990974426},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.07942870259284973},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06053793430328369},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsit61374.2024.10882101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10882101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.41999998688697815,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324885","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2618530766","https://openalex.org/W2964229212","https://openalex.org/W3104242364","https://openalex.org/W3108007135","https://openalex.org/W3131086641","https://openalex.org/W3159195572","https://openalex.org/W3164104137","https://openalex.org/W3167144062","https://openalex.org/W4210558685","https://openalex.org/W4250417688","https://openalex.org/W4386868356","https://openalex.org/W4391770194"],"related_works":["https://openalex.org/W2365307995","https://openalex.org/W2805944307","https://openalex.org/W2372361561","https://openalex.org/W2366767181","https://openalex.org/W2389925946","https://openalex.org/W2384471653","https://openalex.org/W4365794531","https://openalex.org/W2386803199","https://openalex.org/W2381744538","https://openalex.org/W1937929880"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"and":[5,39,75,82,114,123],"experimentally":[6],"demonstrate":[7],"a":[8,28],"novel":[9],"defect":[10,55,143],"detection":[11,144],"method":[12,118,136],"for":[13],"the":[14,18,24,46,49,62,86,89,110,142,146],"LCD":[15,99,147],"screen":[16],"of":[17,30,41,48,116,145],"smart":[19],"meter.":[20],"The":[21,105,135],"images":[22],"from":[23],"camera":[25],"firstly":[26],"undergo":[27],"series":[29],"image":[31],"processing,":[32],"such":[33],"as":[34],"rotate,":[35],"grayscale,":[36],"binarization,":[37],"denoise":[38],"region":[40],"interest":[42],"(ROI)":[43],"positioning.":[44],"Thus,":[45],"information":[47],"images,":[50],"which":[51,67,97,126],"are":[52,119],"unrelated":[53],"to":[54,84],"detection,":[56],"is":[57,80,94,127],"effectively":[58],"removed.":[59],"And":[60],"then,":[61],"Convolutional":[63],"Neural":[64],"Network":[65],"(CNN),":[66],"includes":[68],"four":[69,72,98],"convolution":[70],"layers,":[71,79],"pooling":[73],"layers":[74],"two":[76],"fully":[77],"connected":[78],"designed":[81],"trained":[83],"recognize":[85],"defects":[87],"in":[88,96,141],"processed":[90],"images.":[91],"A":[92],"testbench":[93],"made,":[95],"screens":[100],"can":[101,137],"be":[102,138],"tested":[103],"simultaneously.":[104],"experimental":[106],"results":[107],"show":[108],"that":[109],"Accuracy,":[111],"Precision,":[112],"Recall":[113],"F1-score":[115],"our":[117],"97.25%,":[120],"97.49%,":[121],"97%":[122],"97.24%,":[124],"respectively,":[125],"better":[128],"than":[129],"support":[130],"vector":[131],"machine":[132],"(SVM)":[133],"model.":[134],"widely":[139],"applied":[140],"screen.":[148]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
