{"id":"https://openalex.org/W4368408260","doi":"https://doi.org/10.1145/3576841.3585918","title":"Autonomous and Cost-effective Defect Detection System for Molded Pulp Products","display_name":"Autonomous and Cost-effective Defect Detection System for Molded Pulp Products","publication_year":2023,"publication_date":"2023-05-04","ids":{"openalex":"https://openalex.org/W4368408260","doi":"https://doi.org/10.1145/3576841.3585918"},"language":"en","primary_location":{"id":"doi:10.1145/3576841.3585918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576841.3585918","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576841.3585918","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3576841.3585918","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077733158","display_name":"Haochen Wang","orcid":"https://orcid.org/0009-0000-1185-0201"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haochen Wang","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0000-1185-0201","affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084556530","display_name":"Zhiwei Shi","orcid":"https://orcid.org/0009-0002-6706-3754"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Shi","raw_affiliation_strings":["Zhejiang DeepCode Robotics Co. Ltd., Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-6706-3754","affiliations":[{"raw_affiliation_string":"Zhejiang DeepCode Robotics Co. Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052873807","display_name":"Yafei Qiao","orcid":"https://orcid.org/0009-0000-4436-8796"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Qiao","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0000-4436-8796","affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fan Yang","orcid":"https://orcid.org/0009-0002-0855-0376"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Zhejiang DeepCode Robotics Co. Ltd., Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-0855-0376","affiliations":[{"raw_affiliation_string":"Zhejiang DeepCode Robotics Co. Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061643163","display_name":"Yuzhe He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhe He","raw_affiliation_strings":["Zhejiang DeepCode Robotics Co. Ltd., Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-0732-8477","affiliations":[{"raw_affiliation_string":"Zhejiang DeepCode Robotics Co. Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016461514","display_name":"D. Y. Xuan","orcid":"https://orcid.org/0009-0006-0201-0378"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Xuan","raw_affiliation_strings":["Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0006-0201-0378","affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002311337","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0002-6268-2559"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6268-2559","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5719,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80715895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9957000017166138,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.6644537448883057},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.5605214238166809},{"id":"https://openalex.org/keywords/pulp","display_name":"Pulp (tooth)","score":0.4673011302947998},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4401343762874603},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.36115261912345886},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34210067987442017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2702580690383911},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17165374755859375},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.10771447420120239}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6644537448883057},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.5605214238166809},{"id":"https://openalex.org/C188442228","wikidata":"https://www.wikidata.org/wiki/Q48286","display_name":"Pulp (tooth)","level":2,"score":0.4673011302947998},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4401343762874603},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.36115261912345886},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34210067987442017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2702580690383911},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17165374755859375},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.10771447420120239},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3576841.3585918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576841.3585918","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576841.3585918","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3576841.3585918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576841.3585918","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576841.3585918","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4368408260.pdf","grobid_xml":"https://content.openalex.org/works/W4368408260.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1506634844","https://openalex.org/W1884395441","https://openalex.org/W2044191976","https://openalex.org/W2752782242","https://openalex.org/W2787884921","https://openalex.org/W2793387000","https://openalex.org/W2884585870","https://openalex.org/W2889035772","https://openalex.org/W2897689496","https://openalex.org/W2963125010","https://openalex.org/W2964309882","https://openalex.org/W2979352188","https://openalex.org/W2979983945","https://openalex.org/W2982083293","https://openalex.org/W3082481519","https://openalex.org/W3100813167","https://openalex.org/W3166716987","https://openalex.org/W3177052299","https://openalex.org/W3177525997","https://openalex.org/W3196497390","https://openalex.org/W3210193654","https://openalex.org/W4205538304","https://openalex.org/W4214678470","https://openalex.org/W4289535494","https://openalex.org/W4289943791"],"related_works":["https://openalex.org/W2370275509","https://openalex.org/W2061268109","https://openalex.org/W4379231730","https://openalex.org/W2328941406","https://openalex.org/W2364375014","https://openalex.org/W2512130906","https://openalex.org/W4389858081","https://openalex.org/W2333863769","https://openalex.org/W2366187747","https://openalex.org/W3164788529"],"abstract_inverted_index":{"Molded":[0],"pulp":[1,53,92,191,213],"products,":[2],"such":[3,41],"as":[4],"dinnerware,":[5],"containers,":[6],"packaging":[7],"boxes,":[8],"etc.,":[9],"have":[10,100,183,199],"gained":[11],"increasing":[12],"popularity":[13],"due":[14],"to":[15,77,127,158,173],"their":[16,23,28],"eco-friendly":[17],"features.":[18],"One":[19],"critical":[20],"step":[21],"in":[22,56,68,90,177,188],"production":[24,81,214],"process":[25],"is":[26,86],"detecting":[27,135],"defects.":[29,143],"In":[30,43],"this":[31],"paper,":[32],"we":[33,47,99,117],"present":[34],"an":[35,107,124],"autonomous":[36],"defect":[37,103],"detection":[38,72,104,178,186],"system":[39,45,105,187,209],"for":[40,133,151],"products.":[42],"the":[44,91,138,147,160,175],"design,":[46],"face":[48],"four":[49],"challenges:":[50],"first,":[51],"molded":[52,212],"products":[54,161],"come":[55],"various":[57],"forms":[58],"and":[59,66,113,131,136,140,165,167],"sizes;":[60],"second,":[61],"defects":[62],"are":[63],"typically":[64],"small":[65],"appear":[67],"different":[69,163,180],"forms;":[70],"third,":[71],"must":[73],"be":[74],"fast":[75],"enough":[76],"achieve":[78],"desired":[79],"high":[80],"rates;":[82],"fourth,":[83],"low":[84],"cost":[85],"a":[87,102,119,169,189],"key":[88],"consideration":[89],"molding":[93,192],"industry.":[94],"To":[95],"overcome":[96],"these":[97],"challenges,":[98],"designed":[101],"with":[106,123],"enhanced":[108],"YOLOV5s":[109,121],"+":[110],"DeepLabV3Plus":[111,148],"backbone":[112],"specific":[114],"modules.":[115],"Particularly,":[116],"design":[118,168],"lightweight":[120],"network":[122],"attention":[125],"mechanism":[126],"improve":[128],"YOLOV5s'":[129],"accuracy":[130],"speed,":[132],"roughly":[134],"identifying":[137],"type":[139],"position":[141],"of":[142,162],"We":[144,154,182,198],"then":[145],"utilize":[146],"segmentation":[149],"model":[150],"precise":[152],"detection.":[153],"deploy":[155],"multiple":[156],"cameras":[157],"handle":[159],"sizes":[164],"forms,":[166],"spatial-information":[170],"based":[171],"method":[172],"eliminate":[174],"duplication":[176],"by":[179],"cameras.":[181],"implemented":[184],"our":[185,204,208],"real-world":[190],"manufacturing":[193],"line,":[194],"using":[195],"cost-effective":[196],"hardware.":[197],"conducted":[200],"extensive":[201],"evaluation":[202],"on":[203],"system,":[205],"demonstrating":[206],"that":[207],"can":[210],"meet":[211],"requirements.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
