{"id":"https://openalex.org/W2942764745","doi":"https://doi.org/10.1145/3313950.3313958","title":"State recognition of circuit breaker based on machine vision","display_name":"State recognition of circuit breaker based on machine vision","publication_year":2019,"publication_date":"2019-02-23","ids":{"openalex":"https://openalex.org/W2942764745","doi":"https://doi.org/10.1145/3313950.3313958","mag":"2942764745"},"language":"en","primary_location":{"id":"doi:10.1145/3313950.3313958","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313950.3313958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Image and Graphics Processing","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/A5003083022","display_name":"Qianghan Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianghan Jia","raw_affiliation_strings":["Shanghai University of Engineering Science, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781381","display_name":"Zhifeng Zhou","orcid":"https://orcid.org/0000-0002-7578-815X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Zhou","raw_affiliation_strings":["Shanghai University of Engineering Science, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078656823","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-7999-1083"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Shanghai University of Engineering Science, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003083022"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40953598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9986000061035156,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9986000061035156,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9962999820709229,"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/T13341","display_name":"Belt Conveyor Systems Engineering","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/circuit-breaker","display_name":"Circuit breaker","score":0.8132950067520142},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47660866379737854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.47222402691841125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46487927436828613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4415156841278076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39991670846939087},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.35912179946899414}],"concepts":[{"id":"https://openalex.org/C61352017","wikidata":"https://www.wikidata.org/wiki/Q211058","display_name":"Circuit breaker","level":2,"score":0.8132950067520142},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47660866379737854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.47222402691841125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46487927436828613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4415156841278076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39991670846939087},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.35912179946899414}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313950.3313958","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313950.3313958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2033245880","https://openalex.org/W2054831422","https://openalex.org/W2074420208","https://openalex.org/W2140201873","https://openalex.org/W4240609715"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"In":[0,60],"the":[1,6,8,12,15,26,30,40,43,54,71,80,87,98,101,105,121,125,133,137,141,145,151,154,157],"automatic":[2],"assembly":[3],"line":[4],"of":[5,14,57,79,100,104,114,136,153,156],"disconnector,":[7],"upper":[9,27,142],"cover":[10,28,143],"and":[11,29,50,67,109,140,144],"base":[13,31,146],"circuit":[16,72,81,106],"breaker":[17,73,82,107],"housing":[18],"are":[19,32,147],"separated":[20,48],"by":[21,86],"a":[22,63],"separation":[23,44],"station.":[24],"If":[25],"placed":[33,38],"too":[34],"far":[35],"apart":[36],"or":[37],"in":[39],"opposite":[41],"direction,":[42],"station":[45],"cannot":[46],"be":[47],"normally,":[49],"it":[51],"will":[52],"affect":[53],"normal":[55],"operation":[56],"subsequent":[58],"processes.":[59],"this":[61],"paper,":[62],"machine":[64],"vision":[65],"recognition":[66],"detection":[68],"system":[69],"for":[70],"shell":[74,108],"is":[75,84,94,117,129],"proposed.":[76],"The":[77,90,112],"image":[78,91,103],"casing":[83],"captured":[85],"CCD":[88],"camera.":[89],"processing":[92],"technology":[93],"used":[95,118,130],"to":[96,119,131,150],"detect":[97],"edge":[99],"original":[102],"feature":[110],"extraction.":[111],"algorithm":[113],"convex":[115],"hull":[116],"calculate":[120,132],"rotation":[122],"angle.":[123],"Then":[124],"least":[126],"square":[127],"method":[128],"center":[134,155],"position":[135],"largest":[138],"circle,":[139],"identified":[148],"according":[149],"quadrant":[152],"circle.":[158]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
