{"id":25963,"date":"2025-12-27T09:25:03","date_gmt":"2025-12-27T09:25:03","guid":{"rendered":"https:\/\/oyaz.co\/?p=25963"},"modified":"2025-12-28T07:49:47","modified_gmt":"2025-12-28T07:49:47","slug":"cozgulu-orme-kumas-kusurlarinin-top-acma-makinesinde-cevrim-ici-tespiti","status":"publish","type":"post","link":"https:\/\/oyaz.co\/tr\/cozgulu-orme-kumas-kusurlarinin-top-acma-makinesinde-cevrim-ici-tespiti\/","title":{"rendered":"\u00c7\u00f6zg\u00fcl\u00fc \u00f6rme kuma\u015f kusurlar\u0131n\u0131n top a\u00e7ma makinesinde \u00e7evrim i\u00e7i tespiti"},"content":{"rendered":"<h6 data-start=\"124\" data-end=\"131\">\u00d6zet<\/h6>\n<p data-start=\"133\" data-end=\"960\">Tekstil end\u00fcstrisi, standartlar\u0131 korumak ve \u00fcretim israf\u0131n\u0131 azaltmak i\u00e7in b\u00fcy\u00fck \u00f6l\u00e7\u00fcde kalite kontrol\u00fcne dayan\u0131r. Manuel kusur tespiti yayg\u0131n bir y\u00f6ntemdir ancak insan hatas\u0131na a\u00e7\u0131kt\u0131r. Bu \u00e7al\u0131\u015fma, Python programlama dili ve OpenCV k\u00fct\u00fcphanesi kullan\u0131larak ger\u00e7ek zamanl\u0131 otomatik bir kuma\u015f kusur tespit sistemi sunmaktad\u0131r. Sistem, video analizi ve ilgi b\u00f6lgesi (Region of Interest \u2013 ROI) se\u00e7imi yoluyla yatay \u00e7izgiler (ip ka\u00e7\u0131\u011f\u0131) ve dikey \u00e7izgiler (makine duru\u015f \u00e7izgisi) gibi kusurlar\u0131 belirler. \u00d6n i\u015fleme, e\u015fikleme ve \u00e7izgi tespitinin entegrasyonu, hareket halindeki kuma\u015flarda kusurlar\u0131n do\u011fru bi\u00e7imde tespit edilmesini sa\u011flar. Deneysel sonu\u00e7lar sistemin etkinli\u011fini g\u00f6stermekte ve do\u011frulu\u011fu art\u0131rma, israf\u0131 azaltma ve verimlili\u011fi iyile\u015ftirme yoluyla \u00fclkenin tekstil \u00fcretiminde devrim yaratma potansiyelini vurgulamaktad\u0131r.<\/p>\n<hr data-start=\"962\" data-end=\"965\" \/>\n<h6 data-start=\"967\" data-end=\"978\">1- Giri\u015f<\/h6>\n<p data-start=\"980\" data-end=\"1623\">Tekstil end\u00fcstrisi k\u00fcresel ekonomide \u00f6nemli bir rol oynar. End\u00fcstrinin kar\u015f\u0131la\u015ft\u0131\u011f\u0131 en b\u00fcy\u00fck zorluklardan biri, tutarl\u0131 kaliteyi sa\u011flamakt\u0131r; \u00e7\u00fcnk\u00fc d\u00fczensiz desenler ve ip kopmas\u0131 \u00e7izgileri gibi kusurlar, nihai \u00fcr\u00fcn\u00fcn kullan\u0131labilirli\u011fini ve g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc \u00f6nemli \u00f6l\u00e7\u00fcde etkileyebilir. Geleneksel olarak kuma\u015f muayenesi, kusurlar\u0131n g\u00f6rsel olarak tespit edilmesi i\u00e7in e\u011fitimli personele dayanan manuel bir s\u00fcre\u00e7 olmu\u015ftur. Ancak manuel muayene; yorgunluk, tutars\u0131zl\u0131k ve \u00f6znel de\u011ferlendirme gibi insan kaynakl\u0131 fakt\u00f6rlerle do\u011fal olarak s\u0131n\u0131rl\u0131d\u0131r ve bu durum baz\u0131 kusurlar\u0131n tespit edilememesine ve \u00fcretim maliyetlerinin artmas\u0131na yol a\u00e7ar [1 ve 2].<\/p>\n<p data-start=\"1625\" data-end=\"2181\">Bilgisayarl\u0131 g\u00f6r\u00fc <a href=\"#_ftn1\">[1]<\/a> teknolojilerinin ortaya \u00e7\u0131k\u0131\u015f\u0131, tekstil \u00fcretiminde kalite kontrol s\u00fcre\u00e7lerinin otomatikle\u015ftirilmesi i\u00e7in bir f\u0131rsat sunmu\u015ftur. Bilgisayarl\u0131 g\u00f6r\u00fc, makinelerin g\u00f6rsel verileri ger\u00e7ek zamanl\u0131 <a href=\"#_ftn2\">[2]<\/a> olarak analiz etmesini ve desenleri ile anormallikleri insan denet\u00e7ilere k\u0131yasla daha y\u00fcksek h\u0131z ve do\u011frulukla tespit etmesini sa\u011flar. \u00c7al\u0131\u015fmalar, otomatik kusur tespit sistemlerinin muayene s\u00fcresini azaltabildi\u011fini ve do\u011frulu\u011fu art\u0131rabildi\u011fini g\u00f6stermi\u015ftir; bu da onlar\u0131 manuel y\u00f6ntemlere cazip bir alternatif haline getirmektedir [1 ve 3].<\/p>\n<p data-start=\"2183\" data-end=\"2689\">Son y\u0131llarda g\u00f6r\u00fcnt\u00fc i\u015fleme teknikleri; delikler, lekeler ve iplik d\u00fczensizlikleri gibi belirli kuma\u015f kusurlar\u0131n\u0131 tespit etmek i\u00e7in ba\u015far\u0131yla kullan\u0131lm\u0131\u015ft\u0131r [1]. Bu ba\u011flamda, s\u00fcrekli yatay ve dikey \u00e7izgilerin tespiti \u00f6zel bir \u00f6nem ta\u015f\u0131r; \u00e7\u00fcnk\u00fc bu t\u00fcr kusurlar \u00e7o\u011funlukla kuma\u015f dokuma\/\u00f6rg\u00fc s\u00fcrecindeki yap\u0131sal problemlere i\u015faret eder. Bu kusurlar\u0131n ger\u00e7ek zamanl\u0131 tespiti, hatal\u0131 kuma\u015f\u0131n \u00fcretim hatt\u0131nda ilerlemesini engelleyebilir ve b\u00f6ylece israf\u0131n azalmas\u0131na ve maliyet tasarrufuna katk\u0131 sa\u011flar [4 ve 5].<\/p>\n<p data-start=\"2691\" data-end=\"3198\">Bu \u00e7al\u0131\u015fma, hareket halindeki kuma\u015f\u0131n video g\u00f6r\u00fcnt\u00fclerini analiz etmek i\u00e7in Python programlama dili kullanan ger\u00e7ek zamanl\u0131 bir kuma\u015f kusur tespit sistemi sunmaktad\u0131r. Sistem, kullan\u0131c\u0131ya kusur tespiti i\u00e7in belirli bir ilgi b\u00f6lgesi (ROI) <a href=\"#_ftn3\">[3]<\/a> tan\u0131mlama imkan\u0131 verir ve kuma\u015f\u0131n kritik b\u00f6lgelerine odaklan\u0131lmas\u0131n\u0131 sa\u011flar. Sistem; gri seviye d\u00f6n\u00fc\u015f\u00fcm\u00fc, Gauss filtresi <a href=\"#_ftn4\">[4]<\/a>, uyarlamal\u0131 e\u015fikleme <a href=\"#_ftn5\">[5]<\/a> ve \u00e7izgi tespiti gibi y\u00f6ntemleri kullanarak s\u00fcrekli yatay ve dikey \u00e7izgi kusurlar\u0131n\u0131 y\u00fcksek do\u011frulukla tespit eder.<\/p>\n<hr data-start=\"3200\" data-end=\"3203\" \/>\n<h6 data-start=\"3205\" data-end=\"3234\">2- Malzemeler ve Y\u00f6ntemler<\/h6>\n<p data-start=\"3236\" data-end=\"3320\">Bu b\u00f6l\u00fcmde, ara\u015ft\u0131rmada kullan\u0131lan malzemeler, ara\u00e7lar ve y\u00f6ntemler a\u00e7\u0131klanmaktad\u0131r.<\/p>\n<h6 data-start=\"3322\" data-end=\"3352\">2-1- Kullan\u0131lan Donan\u0131mlar<\/h6>\n<p data-start=\"3354\" data-end=\"3765\">Bu ara\u015ft\u0131rmada, Samsung A13 <a href=\"#_ftn6\">[6]<\/a> model bir cep telefonu kameras\u0131 sabit bir standa yerle\u015ftirilmi\u015f ve kuma\u015f top a\u00e7ma (ta\u011fa a\u00e7ma) cihaz\u0131 \u00fczerinden ge\u00e7i\u015f s\u0131ras\u0131nda, d\u00fcz \u00f6rg\u00fc yap\u0131s\u0131na sahip \u00fc\u00e7 k\u0131lavuz barl\u0131 trikot (\u00e7\u00f6zg\u00fcl\u00fc \u00f6rme) kuma\u015f\u0131n dikey g\u00f6r\u00fcnt\u00fclenmesi i\u00e7in kullan\u0131lm\u0131\u015ft\u0131r. Kay\u0131t al\u0131nan g\u00f6r\u00fcnt\u00fcler, ger\u00e7ek zamanl\u0131 video analizi i\u00e7in yeterli i\u015flem g\u00fcc\u00fcne sahip bir bilgisayara ger\u00e7ek zamanl\u0131 olarak aktar\u0131lm\u0131\u015ft\u0131r.<\/p>\n<h6 data-start=\"3767\" data-end=\"3797\">2-2- Kullan\u0131lan Yaz\u0131l\u0131mlar<\/h6>\n<p data-start=\"3799\" data-end=\"3986\">Python programlama dili, g\u00f6r\u00fcnt\u00fc i\u015fleme i\u00e7in OpenCV <a href=\"#_ftn7\">[7]<\/a> k\u00fct\u00fcphanesi ve Python kodunun geli\u015ftirilmesi ve \u00e7al\u0131\u015ft\u0131r\u0131lmas\u0131 i\u00e7in Visual Studio Code <a href=\"#_ftn8\">[8]<\/a> kaynak kod d\u00fczenleyicisi kullan\u0131lm\u0131\u015ft\u0131r.<\/p>\n<h6 data-start=\"3988\" data-end=\"4006\">2-3- Y\u00f6ntemler<\/h6>\n<p data-start=\"4008\" data-end=\"4058\">Kusur tespit sistemi a\u015fa\u011f\u0131daki a\u015famalardan olu\u015fur:<\/p>\n<ul data-start=\"4060\" data-end=\"4917\">\n<li data-start=\"4060\" data-end=\"4223\">\n<p data-start=\"4062\" data-end=\"4223\"><strong data-start=\"4062\" data-end=\"4132\">Video giri\u015fi ve kusur tan\u0131mlama i\u00e7in ilgi b\u00f6lgesinin (ROI) se\u00e7imi:<\/strong> Kullan\u0131c\u0131, kuma\u015f \u00fczerinde kusurlar\u0131n tespit edilmesini istedi\u011fi bir ilgi b\u00f6lgesi tan\u0131mlar.<\/p>\n<\/li>\n<li data-start=\"4225\" data-end=\"4539\">\n<p data-start=\"4227\" data-end=\"4539\"><strong data-start=\"4227\" data-end=\"4241\">\u00d6n i\u015fleme:<\/strong> Renk bilgisi \u00e7\u0131kar\u0131larak g\u00f6r\u00fcnt\u00fc verisi sadele\u015ftirilir (gri seviye d\u00f6n\u00fc\u015f\u00fcm\u00fc). Gauss filtresi uygulanarak g\u00fcr\u00fclt\u00fcler <a href=\"#_ftn9\">[9]<\/a> azalt\u0131l\u0131r ve g\u00f6r\u00fcnt\u00fc, kusurlar\u0131n daha iyi ayr\u0131\u015ft\u0131r\u0131lmas\u0131 i\u00e7in yumu\u015fat\u0131l\u0131r <a href=\"#_ftn10\">[10]<\/a>. Uyarlamal\u0131 e\u015fikleme, g\u00f6r\u00fcnt\u00fcy\u00fc ikili<a href=\"#_ftn11\"> [11]<\/a> formata d\u00f6n\u00fc\u015ft\u00fcr\u00fcr ve olas\u0131 kusur b\u00f6lgelerini vurgular.<\/p>\n<\/li>\n<li data-start=\"4541\" data-end=\"4812\">\n<p data-start=\"4543\" data-end=\"4812\"><strong data-start=\"4543\" data-end=\"4561\">Kusur tespiti:<\/strong> Ba\u011fl\u0131 bile\u015fenler analizi, k\u00fc\u00e7\u00fck ve ilgisiz parazitleri ay\u0131klar; buna kar\u015f\u0131l\u0131k daha b\u00fcy\u00fck ve anlaml\u0131 yap\u0131lar\u0131 korur. Hough D\u00f6n\u00fc\u015f\u00fcm\u00fc <a href=\"#_ftn12\">[12]<\/a> algoritmas\u0131, s\u00fcrekli yatay ve dikey \u00e7izgileri belirler; bunlar s\u0131ras\u0131yla ye\u015fil ve k\u0131rm\u0131z\u0131 renkte g\u00f6rselle\u015ftirilir.<\/p>\n<\/li>\n<li data-start=\"4814\" data-end=\"4917\">\n<p data-start=\"4816\" data-end=\"4917\"><strong data-start=\"4816\" data-end=\"4826\">\u00c7\u0131kt\u0131:<\/strong> \u0130\u015flenmi\u015f video ger\u00e7ek zamanl\u0131 olarak g\u00f6sterilir ve kusurlar kolay tespit i\u00e7in i\u015faretlenir.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"4919\" data-end=\"4922\" \/>\n<h6 data-start=\"4924\" data-end=\"4950\">3- Bulgular ve Tart\u0131\u015fma<\/h6>\n<p data-start=\"4952\" data-end=\"5111\">\u00d6nerilen sistem, fabrikan\u0131n \u00fcretim hatt\u0131ndaki kuma\u015f top a\u00e7ma cihaz\u0131nda \u00e7\u00f6zg\u00fcl\u00fc \u00f6rme kuma\u015f numuneleri \u00fczerinde test edilmi\u015ftir. A\u015fa\u011f\u0131daki g\u00f6zlemler yap\u0131lm\u0131\u015ft\u0131r:<\/p>\n<h6 data-start=\"5113\" data-end=\"5144\">3-1- Kusur Tespit Do\u011frulu\u011fu<\/h6>\n<p data-start=\"5146\" data-end=\"5795\">Sonu\u00e7lar; do\u011fruluk (tespit edilen kusurlu b\u00f6lgelerin, mevcut t\u00fcm kusurlu b\u00f6lgelere oran\u0131), duyarl\u0131l\u0131k (kusurun ROI\u2019ye girdikten sonra tespit edildi\u011fi uzunluk) ve yanl\u0131\u015f pozitif oran\u0131 (kusursuz b\u00f6lgelerin hatal\u0131 \u015fekilde kusurlu olarak tespit edilme y\u00fczdesi) gibi \u00f6l\u00e7\u00fctlere g\u00f6re de\u011ferlendirilmi\u015ftir. Sistem, test edilen numunelerde yatay \u00e7izgi kusurlar\u0131n\u0131 (ip ka\u00e7\u0131\u011f\u0131) ve dikey \u00e7izgi kusurlar\u0131n\u0131 (makine duru\u015f \u00e7izgisi) %100 do\u011frulukla; ortalama duyarl\u0131l\u0131\u011f\u0131 2 cm\u2019den d\u00fc\u015f\u00fck ve yanl\u0131\u015f pozitif sonu\u00e7lar\u0131 %1\u2019den az olacak \u015fekilde ba\u015far\u0131yla tespit etmi\u015ftir. K\u00fc\u00e7\u00fck parazitler ve ilgisiz desenler ba\u011fl\u0131 bile\u015fen analizi kullan\u0131larak etkin bi\u00e7imde giderilmi\u015ftir.<\/p>\n<h6 data-start=\"5797\" data-end=\"5827\">3-2- Ger\u00e7ek Zamanl\u0131 \u0130\u015fleme<\/h6>\n<p data-start=\"5829\" data-end=\"5969\">Sistem ger\u00e7ek zamanl\u0131 i\u015fleme h\u0131z\u0131na ula\u015fm\u0131\u015f ve kuma\u015f top a\u00e7ma cihaz\u0131n\u0131n h\u0131z\u0131na uygun \u015fekilde kare (frame) i\u015flemeyi y\u00fcksek h\u0131zla y\u00f6netmi\u015ftir.<\/p>\n<h6 data-start=\"5971\" data-end=\"5994\">3-3- G\u00f6rselle\u015ftirme<\/h6>\n<p data-start=\"5996\" data-end=\"6590\">Kusurlar a\u00e7\u0131k bi\u00e7imde i\u015faretlenmi\u015f ve operat\u00f6rlerin kuma\u015f kusurlar\u0131n\u0131 h\u0131zl\u0131ca tan\u0131mlay\u0131p m\u00fcdahale etmesine yard\u0131mc\u0131 olmu\u015ftur. Yatay kusurlar ye\u015fil, dikey kusurlar ise kolay ayr\u0131m i\u00e7in k\u0131rm\u0131z\u0131 renkle g\u00f6sterilmi\u015ftir. \u015eekil 1\u2019de, kuma\u015f \u00fczerinde tespit edilen kusurlar ve i\u015fleme ad\u0131mlar\u0131 sunulmaktad\u0131r. Bu \u015fekilde g\u00f6r\u00fcld\u00fc\u011f\u00fc \u00fczere sistem kusurlar\u0131 ba\u015far\u0131yla tespit etmi\u015ftir (\u015eekil 1-d ve 1-e). Ayr\u0131ca kuma\u015f y\u00fczeyindeki d\u00fczensizliklere ra\u011fmen k\u0131r\u0131\u015f\u0131kl\u0131klar kusur olarak alg\u0131lanmam\u0131\u015f; bu durum sistemin y\u00fczey d\u00fczensizli\u011fi ile ger\u00e7ek kusurlar aras\u0131nda ayr\u0131m yapmadaki y\u00fcksek do\u011frulu\u011funu g\u00f6stermektedir.<\/p>\n<p>&nbsp;<\/p>\n<table>\n<tbody data-wp-editing=\"1\">\n<tr>\n<td width=\"101\"><a href=\"https:\/\/oyaz.co\/wp-content\/uploads\/2025\/12\/%D8%A7%D9%84%D9%81png.png\"><img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/oyaz.co\/wp-content\/uploads\/2025\/12\/%D8%A7%D9%84%D9%81png.png\" alt=\"\u062a\u0635\u0648\u06cc\u0631 \u06cc\u06a9 \u0642\u0627\u0628 \u0627\u0632 \u062e\u0631\u0648\u062c\u06cc \u062f\u0648\u0631\u0628\u06cc\u0646 \u0648\u0627\u0631\u062f \u0634\u062f\u0647 \u0628\u0647 \u0628\u0631\u0646\u0627\u0645\u0647\" width=\"116\" height=\"201\" title=\"\"><\/a><\/td>\n<td width=\"105\"><img decoding=\"async\" class=\"alignnone size-full wp-image-25907 aligncenter\" src=\"https:\/\/oyaz.co\/wp-content\/uploads\/2025\/12\/%D8%A8.png\" alt=\"\" width=\"119\" height=\"197\" title=\"\"><\/td>\n<td width=\"96\"><img decoding=\"async\" class=\"alignnone size-full wp-image-25910\" src=\"https:\/\/oyaz.co\/wp-content\/uploads\/2025\/12\/%D9%BE.png\" alt=\"\" width=\"105\" height=\"201\" title=\"\"><\/td>\n<td width=\"99\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-25913 size-full\" src=\"https:\/\/oyaz.co\/wp-content\/uploads\/2025\/12\/%D8%AA.png\" alt=\"\u062a\u0635\u0648\u06cc\u0631 \u062e\u0637\u0648\u0637 \u0639\u06cc\u0648\u0628 \u0627\u0641\u0642\u06cc \u0648 \u0639\u0645\u0648\u062f\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u062f\u0647\" width=\"115\" height=\"197\" title=\"\"><\/td>\n<td width=\"107\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-25916\" src=\"https:\/\/oyaz.co\/wp-content\/uploads\/2025\/12\/%D8%AB.png\" alt=\"\" width=\"122\" height=\"196\" title=\"\"><\/td>\n<td width=\"96\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-25904\" src=\"https:\/\/oyaz.co\/wp-content\/uploads\/2025\/12\/%D8%AC.png\" alt=\"\" width=\"107\" height=\"195\" title=\"\"><\/td>\n<\/tr>\n<tr>\n<td width=\"101\">(a)<\/td>\n<td width=\"105\">(b)<\/td>\n<td width=\"96\">(c)<\/td>\n<td width=\"99\">(d)<\/td>\n<td width=\"107\">(e)<\/td>\n<td width=\"96\">(f)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p data-start=\"6624\" data-end=\"6971\"><strong data-start=\"6624\" data-end=\"6636\">\u015eekil 1.<\/strong> (a) Kameradan programa giren bir kare g\u00f6r\u00fcnt\u00fcs\u00fc, (b) Gauss filtresi uygulanmadan ikilile\u015ftirilmi\u015f g\u00f6r\u00fcnt\u00fc, (c) Gauss filtresi uyguland\u0131ktan sonra ikilile\u015ftirilmi\u015f g\u00f6r\u00fcnt\u00fc, (d) tespit edilen yatay ve dikey kusur \u00e7izgileri g\u00f6r\u00fcnt\u00fcs\u00fc, (e) bir sonraki karede tespit edilen kusurlar\u0131n g\u00f6r\u00fcnt\u00fcs\u00fc, (f) kusursuz bir kuma\u015f karesinin g\u00f6r\u00fcnt\u00fcs\u00fc.<\/p>\n<h6 data-start=\"6973\" data-end=\"7005\">3-4- Avantajlar ve Zorluklar<\/h6>\n<p data-start=\"7007\" data-end=\"8238\">Otomatik tespit, manuel y\u00f6ntemlere k\u0131yasla muayene s\u00fcresini \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r. Daha \u00f6nceki \u00e7al\u0131\u015fmalar\u0131n \u00e7o\u011fu sinir a\u011flar\u0131 ve derin \u00f6\u011frenme teknikleri kullan\u0131rken, \u00f6nerilen y\u00f6ntem daha basit algoritmalar (Hough d\u00f6n\u00fc\u015f\u00fcm\u00fc ve ba\u011fl\u0131 bile\u015fen analizi) kullanarak ger\u00e7ek zamanl\u0131 performansa ula\u015fm\u0131\u015ft\u0131r. \u00d6nceki ara\u015ft\u0131rmalarda kuma\u015f kusuru tespiti \u00e7o\u011funlukla kusurlu ve kusursuz kuma\u015f g\u00f6r\u00fcnt\u00fclerinin s\u0131n\u0131fland\u0131r\u0131lmas\u0131 \u015feklinde ele al\u0131nm\u0131\u015f; ger\u00e7ek zamanl\u0131 tespitin incelendi\u011fi durumlarda ise genellikle daha d\u00fc\u015f\u00fck h\u0131zdaki makineler \u00fczerinde \u00e7al\u0131\u015f\u0131lm\u0131\u015ft\u0131r. Buna kar\u015f\u0131n bu \u00e7al\u0131\u015fmada incelenen sistem, \u00fcretim hatt\u0131nda kuma\u015f hareket h\u0131z\u0131n\u0131n en y\u00fcksek oldu\u011fu makinelerden biri olan kuma\u015f top a\u00e7ma cihaz\u0131 \u00fczerinde test edilmi\u015ftir. Sistem, tam ve k\u0131smi ip ka\u00e7\u0131klar\u0131 bulunan farkl\u0131 \u00e7\u00f6zg\u00fcl\u00fc \u00f6rme kuma\u015f t\u00fcrlerinde kabul edilebilir performans g\u00f6stermi\u015f ve en az de\u011fi\u015fiklik ihtiyac\u0131yla farkl\u0131 \u00fcretim hatlar\u0131nda uygulanabilirli\u011fini ortaya koymu\u015ftur. Ayr\u0131ca, ger\u00e7ek zamanl\u0131 kuma\u015f kusuru tespitine ili\u015fkin \u00f6nceki ara\u015ft\u0131rmalar\u0131n daha \u00e7ok dokuma kuma\u015flar ve dairesel \u00f6rme kuma\u015flar \u00fczerinde yo\u011funla\u015ft\u0131\u011f\u0131 da belirtilmelidir. Geli\u015fmi\u015f donan\u0131m veya karma\u015f\u0131k sinir a\u011f\u0131 i\u015flemlerine ihtiya\u00e7 duymamas\u0131, bu sistemi ekonomik a\u00e7\u0131dan uygun bir se\u00e7enek haline getirir.<\/p>\n<p data-start=\"8240\" data-end=\"8664\">Bununla birlikte, yetersiz ayd\u0131nlatma ko\u015fullar\u0131 veya h\u0131zl\u0131 \u0131\u015f\u0131k de\u011fi\u015fimleri sistemin do\u011frulu\u011funu ve duyarl\u0131l\u0131\u011f\u0131n\u0131 azaltmakta ve yanl\u0131\u015f pozitif sonu\u00e7lar\u0131 art\u0131rmaktad\u0131r. Ayr\u0131ca, bu \u00e7al\u0131\u015fmada incelenenlerden farkl\u0131 \u00f6zelliklere sahip kusurlar\u0131n tespiti i\u00e7in sistemin daha fazla geli\u015ftirilmesi gerekmektedir. Sistemin baz\u0131 bile\u015fenleri h\u00e2l\u00e2 manuel ayar gerektirmekte olup de\u011fi\u015fken ortamlarda bu durum bir s\u0131n\u0131rl\u0131l\u0131k olu\u015fturabilir.<\/p>\n<hr data-start=\"8666\" data-end=\"8669\" \/>\n<h6 data-start=\"8671\" data-end=\"8682\">4- Sonu\u00e7<\/h6>\n<p data-start=\"8684\" data-end=\"9467\">Bu \u00e7al\u0131\u015fma, alg\u0131lama ve bilgisayarl\u0131 g\u00f6r\u00fc kullanarak ger\u00e7ek zamanl\u0131 kuma\u015f kusuru tespitinin kapasitesini g\u00f6stermektedir. S\u00fcreci otomatikle\u015ftirerek sistem, manuel muayenenin s\u0131n\u0131rlamalar\u0131n\u0131 ortadan kald\u0131r\u0131r ve tutarl\u0131, do\u011fru ve verimli kusur tespiti sa\u011flar. Geli\u015fmi\u015f g\u00f6r\u00fcnt\u00fc i\u015fleme y\u00f6ntemlerinin entegrasyonu, yatay \u00e7izgi kusurlar\u0131n\u0131n (ip ka\u00e7\u0131\u011f\u0131) ve dikey \u00e7izgi kusurlar\u0131n\u0131n (makine duru\u015f \u00e7izgisi) do\u011fru \u015fekilde tespit edilmesini garanti eder. Gelecekte, makine \u00f6\u011frenmesine dayal\u0131 kusur s\u0131n\u0131fland\u0131rmas\u0131 ve Nesnelerin \u0130nterneti entegrasyonu gibi geli\u015ftirmeler sistemin yeteneklerini daha da geni\u015fletebilir. Ger\u00e7ek zamanl\u0131 kusur tespiti, daha ak\u0131ll\u0131 tekstil \u00fcretimine do\u011fru \u00f6nemli bir ad\u0131md\u0131r ve kalite kontrol, maliyet tasarrufu ve s\u00fcrd\u00fcr\u00fclebilirlik a\u00e7\u0131s\u0131ndan \u00e7ok b\u00fcy\u00fck faydalar sunar.<\/p>\n<hr data-start=\"9469\" data-end=\"9472\" \/>\n<h6 data-start=\"9474\" data-end=\"9485\">Te\u015fekk\u00fcr<\/h6>\n<p data-start=\"9487\" data-end=\"9671\">Bu \u00e7al\u0131\u015fman\u0131n yazarlar\u0131, ara\u015ft\u0131rma deneylerinin \u015firketin kuma\u015f \u00fcretim hatt\u0131nda ger\u00e7ekle\u015ftirilmesine y\u00f6nelik i\u015f birli\u011fi i\u00e7in Jahan Urum Ayaz \u015firketine te\u015fekk\u00fcr ve takdirlerini sunarlar.<\/p>\n<hr data-start=\"9673\" data-end=\"9676\" \/>\n<h6 data-start=\"9678\" data-end=\"9689\">Kaynak\u00e7a<\/h6>\n<p data-start=\"9691\" data-end=\"10768\">Kayumov, A., Sobirov, M., &amp; Musayev, K. (2024). Methods of fabric defect detection using expert systems-a systematic literature review. In <em data-start=\"9830\" data-end=\"9854\">E3S Web of Conferences<\/em> (Vol. 538, p. 04015). EDP Sciences.<br data-start=\"9890\" data-end=\"9893\" \/>Meeradevi, T., Sasikala, S., Gomathi, S., &amp; Prabakaran, K. (2023). An analytical survey of textile fabric defect and shade variation detection system using image processing. <em data-start=\"10067\" data-end=\"10106\">Multimedia Tools and Applications, 82<\/em>(4), 6167\u20136196.<br data-start=\"10121\" data-end=\"10124\" \/>Yousefzadeh, M., Payvandy, P., Seyyedsalehi, S. A., &amp; Latifi, M. (2006). <em data-start=\"10197\" data-end=\"10279\">DEFECT DETECTION AND CLASSIFICATION IN NONWOVEN WEB IMAGES USING NEURAL NETWORK.<\/em><br data-start=\"10279\" data-end=\"10282\" \/>Saeidi, R. G., Latifi, M., Najar, S. S., &amp; Saeidi, A. G. (2005). Computer vision-aided fabric inspection system for on-circular knitting machine. <em data-start=\"10428\" data-end=\"10458\">Textile Research Journal, 75<\/em>(6), 492\u2013497.<br data-start=\"10471\" data-end=\"10474\" \/>Mahmud, T., Sikder, J., Chakma, R. J., &amp; Fardoush, J. (2021). Fabric defect detection system. In <em data-start=\"10571\" data-end=\"10718\">Intelligent Computing and Optimization: Proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020)<\/em> (pp. 788\u2013800). Springer International Publishing.<\/p>\n<hr data-start=\"10770\" data-end=\"10773\" \/>\n<h6 data-start=\"10775\" data-end=\"10799\">\u0130ngilizce Kar\u015f\u0131l\u0131klar<\/h6>\n<p><a href=\"#_ftnref1\" name=\"_ftn1\"><u>[1]<\/u><\/a> Computer vision<\/p>\n<p><a href=\"#_ftnref2\" name=\"_ftn2\"><u>[2]<\/u><\/a> Real-Time<\/p>\n<p><a href=\"#_ftnref3\" name=\"_ftn3\"><u>[3]<\/u><\/a> Region of Interest (ROI)<\/p>\n<p><a href=\"#_ftnref4\" name=\"_ftn4\"><u>[4]<\/u><\/a> Gaussian blurring<\/p>\n<p><a href=\"#_ftnref5\" name=\"_ftn5\"><u>[5]<\/u><\/a> Adaptive thresholding<\/p>\n<p><a href=\"#_ftnref6\" name=\"_ftn6\"><u>[6]<\/u><\/a> Samsung Galaxy A13<\/p>\n<p><a href=\"#_ftnref7\" name=\"_ftn7\"><u>[7]<\/u><\/a> OpenCV<\/p>\n<p><a href=\"#_ftnref8\" name=\"_ftn8\"><u>[8]<\/u><\/a> Visual Studio Code<\/p>\n<p><a href=\"#_ftnref9\" name=\"_ftn9\"><u>[9]<\/u><\/a> Noises<\/p>\n<p><a href=\"#_ftnref10\" name=\"_ftn10\"><u>[10]<\/u><\/a> Smoothens<\/p>\n<p><a href=\"#_ftnref11\" name=\"_ftn11\"><u>[11]<\/u><\/a> Binary<\/p>\n<p><a href=\"#_ftnref12\" name=\"_ftn12\"><u>[12]<\/u><\/a> Hough Transform<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00d6zet Tekstil end\u00fcstrisi, standartlar\u0131 korumak ve \u00fcretim israf\u0131n\u0131 azaltmak i\u00e7in b\u00fcy\u00fck \u00f6l\u00e7\u00fcde kalite kontrol\u00fcne dayan\u0131r. Manuel kusur tespiti yayg\u0131n bir y\u00f6ntemdir ancak insan hatas\u0131na a\u00e7\u0131kt\u0131r. Bu \u00e7al\u0131\u015fma, Python programlama dili ve OpenCV k\u00fct\u00fcphanesi kullan\u0131larak ger\u00e7ek zamanl\u0131 otomatik bir kuma\u015f kusur tespit sistemi sunmaktad\u0131r. Sistem, video analizi ve ilgi b\u00f6lgesi (Region of Interest \u2013 ROI) se\u00e7imi [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":26062,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[50,87],"tags":[113,111],"class_list":["post-25963","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tekstilde-surdurulebilirlik-tr","category---tr","tag-cozgulu-orme-kumas-kusurlarinin-top-acma-makinesinde-cevrim-ici-tespiti","tag------tr"],"_links":{"self":[{"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/posts\/25963","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/comments?post=25963"}],"version-history":[{"count":6,"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/posts\/25963\/revisions"}],"predecessor-version":[{"id":26039,"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/posts\/25963\/revisions\/26039"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/media\/26062"}],"wp:attachment":[{"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/media?parent=25963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/categories?post=25963"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/oyaz.co\/tr\/wp-json\/wp\/v2\/tags?post=25963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}