{"id":1788,"date":"2023-05-25T12:37:47","date_gmt":"2023-05-25T10:37:47","guid":{"rendered":"https:\/\/pekatvision.matosoft.cz\/podpora"},"modified":"2023-07-06T09:39:01","modified_gmt":"2023-07-06T07:39:01","slug":"support","status":"publish","type":"page","link":"https:\/\/pekatvision.matosoft.cz\/de\/support","title":{"rendered":"Support"},"content":{"rendered":"    <div class=\"page-header-box page-header-box--with-buttons\">\n        <div class=\"container cf\">\n            <h2 class=\"page-header-box__title h3\"><\/h2>\n            <div class=\"page-header-box__text\">\n            <p>Hier erhalten Sie Hilfe bei der Installation, Konfiguration, Fehlerbehebung und anderen Fragen. Sie k\u00f6nnen auch Fehler melden oder Verbesserungsvorschl\u00e4ge machen, wir freuen uns auf Ihre Nachricht.<\/p>\n            <\/div>\n            <div class=\"page-header-box-btns\">\n                                                                                                <a class=\"btn btn--white\" href=\"https:\/\/pekatvision.atlassian.net\/servicedesk\/customer\/portal\/2\">\n                                                                    <svg role=\"img\" width=\"18\" height=\"15\">\n                            <use xlink:href=\"#arrow-down\"><\/use>\n                        <\/svg>\n                        <span>Support kontaktieren<\/span>\n                    <\/a>\n                                                                                                <a class=\"btn btn--grey btn--go\" href=\"https:\/\/www.youtube.com\/watch?v=FXErNJiiBj0&#038;list=PL-6MsiCdOnKocTcdBUjhoI0gidoAaqM-U\">\n                                                                    <svg role=\"img\" width=\"13\" height=\"18\">\n                            <use xlink:href=\"#go\"><\/use>\n                        <\/svg>\n                        <span>Tutorial-Videos<\/span>\n                    <\/a>\n                            <\/div>\n        <\/div>\n    <\/div>\n\n\n\n<div class=\"block-text block-text--white\">\n        <div class=\"container container--900 cf\">\n            <div class=\"block-text-box\">\n            <h2 style=\"text-align: center;\">EMPFOHLENE HARDWARE<\/h2>\n<h4>Laufzeit<\/h4>\n<ul>\n<li><strong>F\u00fcr typische Anforderungen wie schnelle Verarbeitung<\/strong>\u00a0und komfortable Nutzung empfehlen wir die Verwendung einer NVIDIA-GPU mit ausreichendem Speicher. Eine grobe Sch\u00e4tzung betr\u00e4gt 6 GB pro Deep-Learning-Modul. F\u00fcr einfache Projekte empfehlen wir Nvidia GeForce RTX 3060 12 GB und f\u00fcr komplexere F\u00e4lle Nvidia GeForce RTX 3090 24 GB oder RTX A4000. F\u00fcr andere PC-Komponenten empfehlen wir mindestens: 512 GB SSD, Intel Core i5 oder AMD Ryzen 5 CPU nicht \u00e4lter als 3 Jahre, 16 GB RAM.<\/li>\n<li><strong>F\u00fcr preissensible Anwendungsf\u00e4lle<\/strong>\u00a0ist es m\u00f6glich,\u00a0<strong>g\u00fcnstigere<\/strong>\u00a0NVIDIA-GPUs zu verwenden.<\/li>\n<li><strong>F\u00fcr eingebettete Anwendungsf\u00e4lle<\/strong>\u00a0unterst\u00fctzen wir auch\u00a0<strong>eingebettete Hardware<\/strong>\u00a0\u2013 z. B. ARM-basierte Ger\u00e4te wie NVIDIA Xavier. Kontaktieren Sie uns f\u00fcr weitere Informationen.<\/li>\n<\/ul>\n<h4>Entwicklung<\/h4>\n<ul>\n<li><strong>F\u00fcr typische Anforderungen wie schnelle Verarbeitung<\/strong>\u00a0und komfortable Nutzung empfehlen wir die Verwendung einer NVIDIA-GPU mit ausreichendem Speicher. Eine grobe Sch\u00e4tzung betr\u00e4gt 6 GB pro Deep-Learning-Modul. F\u00fcr einfache Projekte empfehlen wir Nvidia GeForce RTX 3060 12 GB und f\u00fcr komplexere F\u00e4lle Nvidia GeForce RTX 3090 24 GB oder RTX A4000. F\u00fcr andere PC-Komponenten empfehlen wir mindestens: 512 GB SSD, Intel Core i5 oder AMD Ryzen 5 CPU nicht \u00e4lter als 3 Jahre, 16 GB RAM.<\/li>\n<\/ul>\n        <\/div>\n    <\/div><!-- \/.container -->\n<\/div>\n\n\n\n<div class=\"block-text block-text--grey\">\n        <div class=\"container container--900 cf\">\n            <div class=\"block-text-box\">\n            <h2 style=\"text-align: center;\">INTEGRATION VON PEKAT VISION<\/h2>\n<h4>Die Kamera ist direkt an PEKAT VISION angeschlossen (GenICam-Kamera)<\/h4>\n<p>Dies ist die einfachste Option. PEKAT VISION verarbeitet die Eingaben der Kamera in einer Schleife. Sie m\u00fcssen die Kamera einschalten und festlegen, was nach der Auswertung (Ausgabe) passieren soll.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" lazyloaded\" src=\"https:\/\/www.pekatvision.com\/cs\/images\/support\/support-detail-1.jpg\" srcset=\".\/images\/support\/support-detail-1@2x.jpg 2x\" alt=\"support-image\" width=\"900\" height=\"317\" data-src=\".\/images\/support\/support-detail-1.jpg\" data-srcset=\".\/images\/support\/support-detail-1@2x.jpg 2x\" \/><\/p>\n<h4>PEKAT VISION ist Middleware<\/h4>\n<p>Sie verwenden zus\u00e4tzliche Software zur Bilderfassung oder -bearbeitung. Diese Methode umfasst 3 Schritte und erfordert Programmierkenntnisse.<\/p>\n<ol>\n<li><strong>Bilder an PEKAT senden<\/strong>\n<ul>\n<li>Sie k\u00f6nnen das SDK von\u00a0<a href=\"https:\/\/github.com\/pekat-vision\/\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/pekat-vision\/<\/a>\u00a0verwenden. Wir unterst\u00fctzen die Programmiersprachen Python, C# und C++.<\/li>\n<li>Sie k\u00f6nnen das LabVIEW-Plugin verwenden\u00a0<a href=\"http:\/\/sine.ni.com\/nips\/cds\/view\/p\/lang\/en\/nid\/218329\" target=\"_blank\" rel=\"noopener\">http:\/\/sine.ni.com\/nips\/cds\/view\/p\/lang\/en\/nid\/218329<\/a><\/li>\n<li>Sie k\u00f6nnen Bilder an\u00a0<a href=\"http:\/\/pekatvision.com\/documentation\/last\/main\">HTTP API<\/a>\u00a0senden. Wir haben einige Beispiele erstellt.<\/li>\n<\/ul>\n<\/li>\n<li><strong>F\u00fcr preissensible Anwendungsf\u00e4lle<\/strong>\u00a0ist es m\u00f6glich,\u00a0<strong>g\u00fcnstigere<\/strong>\u00a0NVIDIA-GPUs zu verwenden.<\/li>\n<li><strong>F\u00fcr eingebettete Anwendungsf\u00e4lle<\/strong>\u00a0unterst\u00fctzen wir auch\u00a0<strong>eingebettete Hardware<\/strong>\u00a0\u2013 z. B. ARM-basierte Ger\u00e4te wie NVIDIA Xavier. Kontaktieren Sie uns f\u00fcr weitere Informationen.<\/li>\n<\/ol>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" lazyloaded\" src=\"https:\/\/www.pekatvision.com\/cs\/images\/support\/support-detail-2.jpg\" srcset=\".\/images\/support\/support-detail-2@2x.jpg 2x\" alt=\"support-image\" width=\"900\" height=\"287\" data-src=\".\/images\/support\/support-detail-2.jpg\" data-srcset=\".\/images\/support\/support-detail-2@2x.jpg 2x\" \/><\/p>\n        <\/div>\n    <\/div><!-- \/.container -->\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-1788","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Support - 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=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Support - 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