{"id":57,"date":"2023-05-25T12:36:47","date_gmt":"2023-05-25T10:36:47","guid":{"rendered":"https:\/\/pekatvision.matosoft.cz\/?page_id=57"},"modified":"2024-12-17T09:51:57","modified_gmt":"2024-12-17T08:51:57","slug":"features","status":"publish","type":"page","link":"https:\/\/pekatvision.matosoft.cz\/cs\/features","title":{"rendered":"Funkce"},"content":{"rendered":"\n
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PEKAT VISION<\/strong>\u00a0obsahuje\u00a0tu spr\u00e1vnou sadu n\u00e1stroj\u016f<\/strong>. Tyto n\u00e1stroje mohou b\u00fdt kombinov\u00e1ny a propojeny se skripty. Na\u0161e zku\u0161enosti ukazuj\u00ed, \u017ee kombinace t\u011bchto n\u00e1stroj\u016f dok\u00e1\u017ee vy\u0159e\u0161it t\u00e9m\u011b\u0159 ka\u017ed\u00fd \u00fakol t\u00fdkaj\u00edc\u00ed se vizu\u00e1ln\u00ed inspekce ve v\u00fdrob\u011b.<\/span><\/p>\n

Jak p\u0159ipojit kameru, integrovat PEKAT VISION nap\u0159. s Labview, vypo\u010d\u00edtat statistiky a dal\u0161\u00ed informace se dozv\u00edte na na\u0161em\u00a0githubu<\/a>.<\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n\n

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Detekce anom\u00e1li\u00ed<\/h3>\n \n \"\" <\/a>\n
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Modul\u00a0Detekce anom\u00e1li\u00ed<\/strong>\u00a0m\u016f\u017ee b\u00fdt tr\u00e9nov\u00e1n na obr\u00e1zc\u00edch bez vad\u00a0(unsupervised learning)<\/strong>. Je schopn\u00fd prov\u00e1d\u011bt inspekci homogenn\u00edch i nehomogenn\u00edch povrch\u016f jako je deformovan\u00e1 l\u00e1tka se vzorem.<\/p>\n <\/div>\n

\n \n \n <\/use>\n <\/svg>\n Po\u017e\u00e1dat o demo<\/span>\n <\/a>\n <\/div>\n <\/div>\n
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Surface Detection<\/h3>\n \n \"\" <\/a>\n
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Surface Detection<\/strong>\u00a0je n\u00e1stroj kter\u00fd m\u016f\u017ee b\u00fdt natr\u00e9nov\u00e1n pro hled\u00e1n\u00ed defekt\u016f na nehomogenn\u00edm povrchu. P\u0159\u00edkladem takov\u00fdch defekt\u016f m\u016f\u017ee b\u00fdt rez, obrou\u0161en\u00ed, atd. Pro tr\u00e9nink pou\u017e\u00edv\u00e1 anotovan\u00e9 obr\u00e1zky s defekty\u00a0(supervised learning)<\/strong>.<\/p>\n <\/div>\n <\/div>\n

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Object Detector a Classifier<\/h3>\n \n \"\" <\/a>\n
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Object detector a Classifier<\/strong>\u00a0dok\u00e1\u017e\u00ed naj\u00edt i objekty s nestabiln\u00edm tvarem – nap\u0159. suky na d\u0159ev\u011b. Dokonce nez\u00e1le\u017e\u00ed ani na rotaci objektu.<\/p>\n <\/div>\n <\/div>\n

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Inspection moduly<\/h3>\n \n \"\" <\/a>\n
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Inspection moduly<\/strong>\u00a0mohou b\u00fdt kombinov\u00e1ny a dokonce i propojeny s vlastn\u00edm k\u00f3dem pro zpracov\u00e1n\u00ed obrazu nebo skriptem<\/p>\n <\/div>\n <\/div>\n

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OCR (Optick\u00e9 rozpozn\u00e1v\u00e1n\u00ed znak\u016f<\/h3>\n \n \"\" <\/a>\n
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Modul\u00a0OCR<\/strong>\u00a0(Optick\u00e9 rozpozn\u00e1v\u00e1n\u00ed znak\u016f) lze pou\u017e\u00edt pro hled\u00e1n\u00ed jednotliv\u00fdch znak\u016f nebo slov v obr\u00e1zku.<\/p>\n <\/div>\n <\/div>\n

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Unifier<\/h3>\n \n \"\" <\/a>\n
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Inspection moduly<\/strong>\u00a0mohou b\u00fdt kombinov\u00e1ny a dokonce i propojeny s vlastn\u00edm k\u00f3dem pro zpracov\u00e1n\u00ed obrazu nebo skriptem<\/p>\n <\/div>\n <\/div>\n

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Preprocessing<\/h3>\n \n \"\" <\/a>\n
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Modul\u00a0Preprocessing<\/strong>\u00a0je n\u00e1stroj pro jednoduchou \u00fapravu obrazu p\u0159ed dal\u0161\u00edm zpracov\u00e1n\u00edm. Nab\u00edz\u00ed rotaci, o\u0159ez, zm\u011bnu m\u011b\u0159\u00edtka, normalizaci pozad\u00ed, odstran\u011bn\u00ed pozad\u00ed a mnoho dal\u0161\u00edch transformac\u00ed.<\/p>\n <\/div>\n <\/div>\n

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Automatick\u00e1 senzitivita<\/h3>\n \n \"\" <\/a>\n
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Automatick\u00e1 senzitivita<\/strong>\u00a0je \u010d\u00e1st modulu Detekce anom\u00e1li\u00ed. Pom\u00e1h\u00e1 naj\u00edt tu spr\u00e1vnou hodnotu senzitivity (citlivosti), kter\u00e1 ide\u00e1ln\u011b ur\u010d\u00ed spr\u00e1vnou hranici momentu, kdy PEKAT VISION vyhodnot\u00ed produkt jako vadn\u00fd \u010di jako bezvadn\u00fd.<\/p>\n <\/div>\n <\/div>\n

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Measurement<\/h3>\n \n \"\" <\/a>\n
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Modul\u00a0Measurement<\/strong>\u00a0slou\u017e\u00ed pro jednoduch\u00e9 m\u011b\u0159en\u00ed rozm\u011br\u016f objektu.<\/p>\n <\/div>\n <\/div>\n

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Runtime<\/h3>\n \n \"\" <\/a>\n
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Statistika b\u011bhu<\/strong>\u00a0ukazuje statistiky obr\u00e1zk\u016f vyhodnocen\u00fdch jako dobr\u00e9 a \u0161patn\u00e9, kter\u00e9 byly odesl\u00e1ny z API. Je mo\u017en\u00e9 si prohl\u00e9dnout statistiky pro konkr\u00e9tn\u00ed datum a \u010das.<\/p>\n <\/div>\n <\/div>\n

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Statistika<\/h3>\n \n \"\" <\/a>\n
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Statistika<\/strong>\u00a0je sou\u010d\u00e1st modulu Report, kter\u00e1 po\u010d\u00edt\u00e1, jak \u00fasp\u011b\u0161n\u00e1 je aplikace p\u0159i vyhodnocov\u00e1n\u00ed obr\u00e1zk\u016f. Ukazuje matici z\u00e1m\u011bn (confusion matrix) a souvisej\u00edc\u00ed metriky a tak\u00e9 minim\u00e1ln\u00ed, maxim\u00e1ln\u00ed a pr\u016fm\u011brn\u00fd \u010das zpracov\u00e1n\u00ed.<\/p>\n <\/div>\n <\/div>\n

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Report<\/h3>\n \n \"\" <\/a>\n
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Gener\u00e1tor reportu<\/strong>\u00a0je sou\u010d\u00e1st modulu Report. Um\u00ed automaticky vygenerovat HTML report, kter\u00fd obsahuje v\u0161echny statistick\u00e9 informace a nav\u00edc tr\u00e9ninkov\u00e9 obr\u00e1zky (pokud byla tato mo\u017enost zvolena), vyhodnocen\u00e9 testovac\u00ed obr\u00e1zky a graf pou\u017eit\u00fdch modul\u016f.<\/p>\n <\/div>\n <\/div>\n

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Python<\/h3>\n \n \"\" <\/a>\n
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Vyu\u017eit\u00ed\u00a0k\u00f3du v Pythonu<\/strong>\u00a0v\u00e1m d\u00e1v\u00e1 velkou flexibilitu. M\u016f\u017eete p\u0159edzpracov\u00e1vat obr\u00e1zky (nap\u0159. s pou\u017eit\u00edm OpenCV a Numpy), p\u0159id\u00e1vat vlastn\u00ed logiku nebo dokonce volat extern\u00ed rozhran\u00ed.<\/p>\n <\/div>\n <\/div>\n

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Output<\/h3>\n \n \"\" <\/a>\n
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Output<\/strong>\u00a0m\u016f\u017ee b\u00fdt vyu\u017eit pro komunikaci s extern\u00edmi za\u0159\u00edzen\u00edmi. M\u016f\u017eete vyu\u017e\u00edt p\u0159\u00edkazov\u00fd \u0159\u00e1dek (nap\u0159. pro spu\u0161t\u011bn\u00ed skriptu), poslat HTTP request (GET nebo POST) nebo vytvo\u0159it spojen\u00ed s va\u0161\u00edm PLC pomoc\u00ed protokol\u016f Profinet nebo TCP.<\/p>\n <\/div>\n <\/div>\n

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Output 2<\/h3>\n \n \"\" <\/a>\n
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Output<\/strong>\u00a0m\u016f\u017ee b\u00fdt vyu\u017eit pro komunikaci s extern\u00edmi za\u0159\u00edzen\u00edmi. M\u016f\u017eete vyu\u017e\u00edt p\u0159\u00edkazov\u00fd \u0159\u00e1dek (nap\u0159. pro spu\u0161t\u011bn\u00ed skriptu), poslat HTTP request (GET nebo POST) nebo vytvo\u0159it spojen\u00ed s va\u0161\u00edm PLC pomoc\u00ed protokol\u016f Profinet nebo TCP.<\/p>\n <\/div>\n <\/div>\n <\/div>\n

\n \n \n <\/use>\n <\/svg>\n Test<\/span>\n <\/a>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-57","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nFunkce - PEKAT VISION<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Funkce - PEKAT VISION\" \/>\n<meta property=\"og:url\" content=\"https:\/\/pekatvision.matosoft.cz\/cs\/features\" \/>\n<meta property=\"og:site_name\" content=\"PEKAT VISION\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-17T08:51:57+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/pekatvision.matosoft.cz\/cs\/features\",\"url\":\"https:\/\/pekatvision.matosoft.cz\/cs\/features\",\"name\":\"Funkce - 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