{"id":9477,"date":"2023-01-10T09:32:51","date_gmt":"2023-01-10T08:32:51","guid":{"rendered":"https:\/\/imago-technologies.com\/?page_id=9477"},"modified":"2025-01-02T12:15:42","modified_gmt":"2025-01-02T11:15:42","slug":"robuste-ki-bildverarbeitung-erreicht-mit-nvidia-orin-neue-hoechstleistungen","status":"publish","type":"page","link":"https:\/\/imago-technologies.com\/de\/robuste-ki-bildverarbeitung-erreicht-mit-nvidia-orin-neue-hoechstleistungen\/","title":{"rendered":"Robuste KI-Bildverarbeitung erreicht mit Embedded GPGPU Plattform neue H\u00f6chstleistungen"},"content":{"rendered":"[vc_row type=&#8220;full_width_content&#8220; full_screen_row_position=&#8220;middle&#8220; column_margin=&#8220;default&#8220; column_direction=&#8220;default&#8220; column_direction_tablet=&#8220;default&#8220; column_direction_phone=&#8220;default&#8220; bg_color=&#8220;#003d5c&#8220; scene_position=&#8220;center&#8220; top_padding=&#8220;0&#8243; constrain_group_1=&#8220;yes&#8220; bottom_padding=&#8220;0&#8243; 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overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; bg_image_animation=&#8220;none&#8220;][nectar_gradient_text heading_tag=&#8220;h3&#8243; color=&#8220;extra-color-gradient-2&#8243; gradient_direction=&#8220;diagonal&#8220; text=&#8220;Robuste KI-Bildverarbeitung erreicht mit Embedded GPGPU Plattform neue H\u00f6chstleistungen&#8220;][divider line_type=&#8220;Full Width Line&#8220; line_thickness=&#8220;1&#8243; divider_color=&#8220;default&#8220; custom_height=&#8220;20&#8243;][vc_row_inner column_margin=&#8220;default&#8220; column_direction=&#8220;default&#8220; column_direction_tablet=&#8220;default&#8220; column_direction_phone=&#8220;default&#8220; text_align=&#8220;left&#8220;][vc_column_inner column_padding=&#8220;no-extra-padding&#8220; column_padding_tablet=&#8220;inherit&#8220; column_padding_phone=&#8220;inherit&#8220; column_padding_position=&#8220;all&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/2&#8243; tablet_width_inherit=&#8220;default&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; bg_image_animation=&#8220;none&#8220;][vc_column_text css=&#8220;.vc_custom_1673338784967{margin-top: 25px !important;}&#8220;]\n<p class=\"p1\"><span style=\"color: #003d5c;\"><strong><span style=\"font-size: 14pt;\">Robuste KI-Bildverarbeitung erreicht mit Embedded GPGPU Plattform neue H\u00f6chstleistungen<\/span><\/strong><\/span><\/p>\n<p class=\"p1\">Friedberg, 18. August 2022<\/p>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=&#8220;no-extra-padding&#8220; column_padding_tablet=&#8220;inherit&#8220; column_padding_phone=&#8220;inherit&#8220; column_padding_position=&#8220;all&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/2&#8243; tablet_width_inherit=&#8220;default&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; bg_image_animation=&#8220;none&#8220;][vc_column_text css=&#8220;.vc_custom_1673338919430{margin-top: 25px !important;}&#8220;]\n<p class=\"p1\" style=\"text-align: right;\"><a href=\"https:\/\/imago-technologies.com\/wp-content\/uploads\/2023\/01\/Robuste-KI-Bildverarbeitung-erreicht-mit-IMAGOS-Embedded-GPGPU-Plattform-neue-Hoechstleistungen.pdf\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #ec6600;\">Download Pressemitteilung als PDF <i class=\"icon-default-style iconsmind-Arrow-OutRight extra-color-2\"><\/i><\/span><\/a><\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][divider line_type=&#8220;Full Width Line&#8220; line_thickness=&#8220;1&#8243; divider_color=&#8220;default&#8220; custom_height=&#8220;20&#8243;][vc_row_inner column_margin=&#8220;default&#8220; column_direction=&#8220;default&#8220; column_direction_tablet=&#8220;default&#8220; column_direction_phone=&#8220;default&#8220; text_align=&#8220;left&#8220;][vc_column_inner column_padding=&#8220;no-extra-padding&#8220; column_padding_tablet=&#8220;inherit&#8220; column_padding_phone=&#8220;inherit&#8220; column_padding_position=&#8220;all&#8220; background_color=&#8220;#ffffff&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/2&#8243; tablet_width_inherit=&#8220;default&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; bg_image_animation=&#8220;none&#8220;][vc_column_text]<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-9408 \" src=\"https:\/\/imago-technologies.com\/wp-content\/uploads\/2022\/10\/Vision-Box-AI-2000x1200-1-300x180.jpg\" alt=\"GPGPU vision computer Vision Box AI\" width=\"542\" height=\"325\" \/><\/p>\n<p style=\"text-align: center;\"><span style=\"font-size: 12pt; color: #003d5c;\"><em>GPGPU-basiertes Bildverarbeitungs-System erm\u00f6glicht au\u00dfergew\u00f6hnliche Rechenleistung und geringen Stromverbrauch.\u00a0<\/em><\/span><\/p>\n[\/vc_column_text][vc_column_text][\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=&#8220;no-extra-padding&#8220; column_padding_tablet=&#8220;inherit&#8220; column_padding_phone=&#8220;inherit&#8220; column_padding_position=&#8220;all&#8220; top_margin=&#8220;20px&#8220; top_margin_tablet=&#8220;0&#8243; top_margin_phone=&#8220;0&#8243; background_color=&#8220;#ffffff&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/2&#8243; tablet_width_inherit=&#8220;default&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; bg_image_animation=&#8220;none&#8220;][vc_column_text]\n<p class=\"p1\"><strong><span class=\"s1\" style=\"font-size: 12pt;\">IMAGO Technologies erweitert sein Deep Learning Produktangebot um die Vision Box AI, einem extrem leistungsstarken GPGPU Vision Computer f\u00fcr KI und andere Anwendungen, die GPU-Rechenleistung erfordern.\u00a0<\/span><\/strong><\/p>\n<p>Der l\u00fcfterlose, kompakte Vision Rechner wird von der Nvidia AGX Orin GPGPU angetrieben. Ihm stehen bis zu 12 ARM-CPU-Kerne mit Zugriff auf bis zu 64 GB RAM f\u00fcr Standardanwendungen zur Verf\u00fcgung. Aufgaben k\u00f6nnen verteilt werden, und es steht ausreichend Speicher f\u00fcr Bilddaten zur Verf\u00fcgung, auch wenn diese von sehr hochaufl\u00f6senden Kameras aufgenommen werden. Die unglaublich leistungsf\u00e4hige und stromsparende Einheit erreicht eine AI-relevante Rechenleistung von 275 TOPS (Tera Operations per Second, 8 Bit Integer) bei einem bemerkenswerten Ma\u00df an Energieeffizienz.<\/p>\n<p><span style=\"color: #007589; font-size: 14pt;\">DER IN DER VISION BOX AI VERWENDETE, SEHR RECHENSTARKE GPU-BESCHLEUNIGER ERLAUBT EIN BREITES ANWENDUNGSFELD:\u00a0<\/span><\/p>\n<p>Er unterst\u00fctzt AI-Applikationen mit hohem Prozesstakt oder komplexeren Netzwerken. Dabei kann die Vision Box AI sowohl das Lernprogramm als auch das Inferenzprogramm einer KI-L\u00f6sung ausf\u00fchren.<br \/>\nAuch f\u00fcr andere Anwendungen, die einen CUDA-basierten Beschleuniger erfordern, wie beispielsweise hyperspektrale Bildgebung oder Lichtfeldkameras bietet der GPGPU-Rechner die notwendige Rechenleistung.<\/p>\n<p><span style=\"color: #007589; font-size: 14pt;\">LANGZEITVERF\u00dcGBARKEIT\u00a0\u00a0<\/span><\/p>\n<p>Carsten Strampe, Gesch\u00e4ftsf\u00fchrer von IMAGO Technologies GmbH, erkl\u00e4rt: &#8222;Bei Maschinen unserer Kunden ist die Langzeitverf\u00fcgbarkeit eine Voraussetzung f\u00fcr den Erfolg. \u00dcber viele Jahre robuste, reproduzierbare Rechnerhardware, heutzutage mehr denn je auch stromsparend sind die entscheidenden Vorteile bei der industriellen Nutzung. Die M\u00f6glichkeit, GPGPU-basierte Systeme in komplexen industriellen Umgebungen einzusetzen, gibt Anwendern die M\u00f6glichkeit, neue Wege mit Embedded Computing zu beschreiten.\u201c<\/p>\n<p><span style=\"color: #007589; font-size: 14pt;\">VISION RELEVANTE SCHNITTSTELLEN\u00a0\u00a0<\/span><\/p>\n<p>Die Vision Box AI kombiniert die GPGPU Architektur mit den f\u00fcr die industrielle Bildverarbeitung erforderlichen Schnittstellen. Standard-E\/A-Anschl\u00fcsse wie echtzeitf\u00e4hige digitale IO, eine RS422 zum Anschluss von inkrementellen Encodern, Ethernet, USB und optional ein Monitorausgang dienen dem Service des Systems. Der erste Typ der Vision Box AI bietet bis zu vier GigE-Schnittstellen f\u00fcr den Anschluss von Standard-GigE-Kameras. Dar\u00fcber hinaus hat sich die Camera Link-Schnittstelle seit vielen Jahren als robuste Bildverarbeitungsschnittstelle etabliert. Sie erf\u00fcllt h\u00f6chste Anspr\u00fcche an die schnelle Bild\u00fcbertragung. Camera Link liefert die Daten in Echtzeit &#8211; ein Vorteil f\u00fcr zeitkritische Anwendungen.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=&#8220;in_container&#8220; full_screen_row_position=&#8220;middle&#8220; column_margin=&#8220;default&#8220; column_direction=&#8220;default&#8220; column_direction_tablet=&#8220;default&#8220; column_direction_phone=&#8220;default&#8220; scene_position=&#8220;center&#8220; top_padding=&#8220;2%&#8220; bottom_padding=&#8220;3%&#8220; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; overlay_strength=&#8220;0.3&#8243; gradient_direction=&#8220;left_to_right&#8220; shape_divider_position=&#8220;bottom&#8220; bg_image_animation=&#8220;none&#8220; shape_type=&#8220;&#8220;][vc_column column_padding=&#8220;no-extra-padding&#8220; column_padding_tablet=&#8220;inherit&#8220; column_padding_phone=&#8220;inherit&#8220; 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