{"id":16487,"date":"2026-06-22T11:46:25","date_gmt":"2026-06-22T09:46:25","guid":{"rendered":"https:\/\/imago-technologies.com\/unkategorisiert\/physical-ai\/"},"modified":"2026-06-23T10:58:59","modified_gmt":"2026-06-23T08:58:59","slug":"physical-ai","status":"publish","type":"post","link":"https:\/\/imago-technologies.com\/de\/ratgeber\/physical-ai\/","title":{"rendered":"Physical AI in der industriellen Bildverarbeitung"},"content":{"rendered":"[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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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;][vc_column 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; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]Physical AI entwickelt sich derzeit zu einem der wichtigsten Zukunftsthemen der industriellen Automatisierung. W\u00e4hrend klassische Machine-Vision-Systeme Informationen erfassen und analysieren, erweitert Physical AI diesen Ansatz um <strong>Verst\u00e4ndnis, Entscheidungsfindung und autonome Handlungen<\/strong>. F\u00fcr Maschinenbauer, Automatisierungsingenieure und Produktionsverantwortliche er\u00f6ffnet sich damit eine neue Generation intelligenter Systeme, die nicht nur sehen, sondern aktiv auf ihre Umgebung reagieren.[\/vc_column_text][\/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; bg_color=&#8220;#dcdcdc&#8220; scene_position=&#8220;center&#8220; top_padding=&#8220;20&#8243; bottom_padding=&#8220;20&#8243; left_padding_desktop=&#8220;20&#8243; right_padding_desktop=&#8220;20&#8243; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2>Schnell\u00fcberblick<\/h2>\n<ul>\n<li><b>Physical AI:<\/b><span style=\"font-weight: 400;\"> Erweitert Machine Vision \u00fcber die reine Bildanalyse hinaus und erm\u00f6glicht autonome Entscheidungen und Handlungen auf Basis realer Situationen.<\/span><\/li>\n<li><b>Wahrnehmungsebene:<\/b><span style=\"font-weight: 400;\"> Machine Vision liefert die Bild-, Tiefen- und Bewegungsdaten, die Physical-AI-Systeme ben\u00f6tigen, um ihre Umgebung zu verstehen.<\/span><\/li>\n<li><b>Wichtige Anwendungsfelder:<\/b><span style=\"font-weight: 400;\"> Autonome mobile Roboter (AMRs), intelligente Qualit\u00e4tskontrolle und adaptive Produktionssysteme geh\u00f6ren zu den wichtigsten Einsatzbereichen.<\/span><\/li>\n<li><b>Technologische Grundlage:<\/b><span style=\"font-weight: 400;\"> Edge AI, GPU-Beschleunigung und Echtzeitverarbeitung erm\u00f6glichen es Physical-AI-Systemen, Daten zu analysieren und direkt am Einsatzort zu reagieren.<\/span><\/li>\n<li><b>Zukunftspotenzial:<\/b><span style=\"font-weight: 400;\"> Physical AI entwickelt Machine Vision von einem Werkzeug zur Inspektion zu einer Grundlage f\u00fcr autonome, flexible und selbstoptimierende industrielle Automatisierung weiter.<\/span><\/li>\n<\/ul>\n[\/vc_column_text][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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;][vc_column 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; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<ul>\n<li><a href=\"#1\">Was ist Physical AI?<\/a><\/li>\n<li><a href=\"#2\">Machine Vision als Wahrnehmungsebene von Physical AI<\/a><\/li>\n<li><a href=\"#3\">Anwendungsfelder von Physical AI in der Fertigung<\/a><\/li>\n<li><a href=\"#4\">Anforderungen an Vision-Hardware f\u00fcr Physical AI<\/a><\/li>\n<li><a href=\"#5\">Die Rolle von Physical AI f\u00fcr Maschinenbauer und OEMs<\/a><\/li>\n<li><a href=\"#6\">Physical AI bei IMAGO Technologies<\/a><\/li>\n<li><a href=\"#7\">Fazit: Warum Physical AI die n\u00e4chste Evolutionsstufe von Machine Vision ist<\/a><\/li>\n<li><a href=\"#8\">FAQs zu Physical AI<\/a><\/li>\n<\/ul>\n[\/vc_column_text][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; id=&#8220;1&#8243; 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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2>Was ist Physical AI?<\/h2>\n<p data-start=\"2041\" data-end=\"2529\">Physical AI beschreibt die F\u00e4higkeit intelligenter Systeme, ihre physische Umgebung wahrzunehmen, zu verstehen und eigenst\u00e4ndig darauf zu reagieren. Im industriellen Umfeld verbindet dieser Ansatz <strong>moderne KI-Methoden mit Sensorik, Robotik und Machine Vision<\/strong>. Ziel ist es, Maschinen zu entwickeln, die Entscheidungen nicht mehr ausschlie\u00dflich anhand fest definierter Regeln treffen, sondern auf Basis der aktuellen Situation in ihrer Umgebung handeln.<\/p>\n<p data-start=\"2531\" data-end=\"2863\">Der entscheidende Unterschied liegt in der Verkn\u00fcpfung von Wahrnehmung und Handlung. W\u00e4hrend klassische Systeme Informationen erfassen und analysieren, kann Physical AI daraus konkrete Handlungen ableiten. Dadurch entstehen <strong>neue M\u00f6glichkeiten f\u00fcr flexible und adaptive Automatisierungsl\u00f6sungen<\/strong>.<\/p>\n[\/vc_column_text][\/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; bg_color=&#8220;#30908f&#8220; scene_position=&#8220;center&#8220; top_padding=&#8220;30&#8243; constrain_group_1=&#8220;yes&#8220; bottom_padding=&#8220;30&#8243; left_padding_desktop=&#8220;30&#8243; constrain_group_2=&#8220;yes&#8220; right_padding_desktop=&#8220;30&#8243; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220; el_class=&#8220;h3_30px&#8220;]\n<h3><span style=\"color: #ffffff;\">Entdecken Sie unsere Systeme<\/span><\/h3>\n<p><span style=\"color: #ffffff;\">Realisieren Sie Ihre Physical-AI-Anwendung mit der passenden Vision-Plattform \u2013 von kompakten Smart Cameras bis hin zu leistungsstarken Edge-AI-Systemen.<\/span>[\/vc_column_text][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; row_position=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; pointer_events=&#8220;all&#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; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; centered_text=&#8220;true&#8220; desktop_text_alignment=&#8220;center&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; overflow=&#8220;visible&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; column_padding_type=&#8220;default&#8220; gradient_type=&#8220;default&#8220;][nectar_btn size=&#8220;small&#8220; button_style=&#8220;regular&#8220; button_color_2=&#8220;extra-color-gradient-1&#8243; icon_family=&#8220;default_arrow&#8220; el_class=&#8220;orange_button&#8220; text=&#8220;Mehr erfahren&#8220; url=&#8220;\/de\/produkte\/&#8220;][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h3>Von Computer Vision zu Physical AI<\/h3>\n<p>Klassische Machine Vision beantwortet in erster Linie die Frage: \u201e<strong>Was sehe ich?<\/strong>\u201c Systeme pr\u00fcfen beispielsweise, ob ein Bauteil vorhanden ist, ein QR-Code gelesen werden kann oder ein Produkt einen Defekt aufweist. Diese Aufgaben lassen sich zuverl\u00e4ssig automatisieren und sind seit vielen Jahren fester Bestandteil industrieller Produktionsprozesse.<\/p>\n<p><strong>Physical AI erg\u00e4nzt diese Wahrnehmungsf\u00e4higkeit um ein Situationsverst\u00e4ndnis<\/strong>. Anstatt Informationen lediglich zu analysieren, bewerten die Systeme das Wahrgenommene und bestimmen die jeweils passende n\u00e4chste Handlung. Ein Roboter kann beispielsweise selbstst\u00e4ndig den optimalen Greifpunkt eines Bauteils bestimmen oder seine Bahnplanung an ver\u00e4nderte Bedingungen anpassen.<\/p>\n<p>Dadurch entwickelt sich Machine Vision von einer reinen Sensortechnologie zu einer zentralen Entscheidungsgrundlage autonomer Maschinen.<\/p>\n<h3>Warum Physical AI gerade jetzt an Bedeutung gewinnt<\/h3>\n<p>Produktionsumgebungen werden zunehmend dynamischer. Unternehmen produzieren <strong>kleinere Losgr\u00f6\u00dfen, bieten mehr Varianten<\/strong> an und m\u00fcssen gleichzeitig flexibel auf ver\u00e4nderte Marktanforderungen reagieren. Unter diesen Bedingungen sto\u00dfen klassische regelbasierte Systeme zunehmend an ihre Grenzen.<\/p>\n<p>Physical AI erm\u00f6glicht einen deutlich h\u00f6heren Grad an Anpassungsf\u00e4higkeit. <strong>Systeme k\u00f6nnen unbekannte Situationen bewerten und geeignete Reaktionen ableiten<\/strong>, ohne sich ausschlie\u00dflich auf vordefinierte Regeln zu st\u00fctzen. Besonders bei variierenden Produkten oder dynamischen Produktionsprozessen entsteht dadurch ein erheblicher Mehrwert.<\/p>\n<p>Auch die <strong>zunehmende Verbreitung der Mensch-Roboter-Kollaboration<\/strong> tr\u00e4gt zur wachsenden Bedeutung von Physical AI bei. Maschinen m\u00fcssen ihre Umgebung kontinuierlich interpretieren und sicher auf Ver\u00e4nderungen in Echtzeit reagieren k\u00f6nnen.[\/vc_column_text][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; row_position=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; pointer_events=&#8220;all&#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; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; overflow=&#8220;visible&#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; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][image_with_animation image_url=&#8220;16477&#8243; image_size=&#8220;regular&#8220; max_width=&#8220;100%&#8220; max_width_mobile=&#8220;default&#8220; animation_type=&#8220;entrance&#8220; animation=&#8220;None&#8220; animation_movement_type=&#8220;transform_y&#8220; hover_animation=&#8220;none&#8220; alignment=&#8220;center&#8220; border_radius=&#8220;none&#8220; box_shadow=&#8220;none&#8220; image_loading=&#8220;default&#8220;][\/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; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; overflow=&#8220;visible&#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; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; column_padding_type=&#8220;default&#8220; gradient_type=&#8220;default&#8220; offset=&#8220;vc_hidden-sm vc_hidden-xs&#8220;][image_with_animation image_url=&#8220;16480&#8243; image_size=&#8220;regular&#8220; max_width=&#8220;100%&#8220; max_width_mobile=&#8220;default&#8220; animation_type=&#8220;entrance&#8220; animation=&#8220;None&#8220; animation_movement_type=&#8220;transform_y&#8220; hover_animation=&#8220;none&#8220; alignment=&#8220;&#8220; border_radius=&#8220;none&#8220; box_shadow=&#8220;none&#8220; image_loading=&#8220;default&#8220;][\/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; equal_height=&#8220;yes&#8220; column_direction=&#8220;default&#8220; column_direction_tablet=&#8220;default&#8220; column_direction_phone=&#8220;default&#8220; scene_position=&#8220;center&#8220; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; class=&#8220;hide_on_mobile&#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; gradient_type=&#8220;default&#8220; shape_type=&#8220;&#8220;][vc_column column_padding=&#8220;padding-2-percent&#8220; column_padding_tablet=&#8220;inherit&#8220; column_padding_phone=&#8220;inherit&#8220; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#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; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;1px&#8220; column_border_color=&#8220;#dcdcdc&#8220; column_border_style=&#8220;solid&#8220; column_padding_type=&#8220;default&#8220; gradient_type=&#8220;default&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h4>Edge AI<\/h4>\n<p>Edge AI erm\u00f6glicht die Ausf\u00fchrung k\u00fcnstlicher Intelligenz direkt auf Kameras, Embedded-Vision-Systemen und Industriecomputern. Die Verarbeitung der Daten am Entstehungsort reduziert Latenzen, erh\u00f6ht die Zuverl\u00e4ssigkeit und erm\u00f6glicht autonome Entscheidungen in Echtzeit \u2013 ohne Abh\u00e4ngigkeit von Cloud-Verbindungen.[\/vc_column_text][\/vc_column][vc_column column_padding=&#8220;padding-2-percent&#8220; column_padding_tablet=&#8220;inherit&#8220; column_padding_phone=&#8220;inherit&#8220; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color=&#8220;#dcdcdc&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#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; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;1px&#8220; column_border_color=&#8220;#dcdcdc&#8220; column_border_style=&#8220;solid&#8220; column_padding_type=&#8220;default&#8220; gradient_type=&#8220;default&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h4>Robot Vision<\/h4>\n<p>Robot Vision verbindet Machine Vision und Robotik, um eine autonome Interaktion mit der physischen Welt zu erm\u00f6glichen. Kameras liefern Informationen \u00fcber Objektpositionen und Umgebungsbedingungen. Dadurch k\u00f6nnen Roboter Objekte erkennen, lokalisieren, greifen und mit hoher Flexibilit\u00e4t handhaben.[\/vc_column_text][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; id=&#8220;2&#8243; 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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2>Machine Vision als Wahrnehmungsebene von Physical AI<\/h2>\n<p data-start=\"56\" data-end=\"387\">Damit ein autonomes System Entscheidungen treffen kann, ben\u00f6tigt es pr\u00e4zise Informationen \u00fcber seine Umgebung. Genau diese Aufgabe \u00fcbernimmt die industrielle Bildverarbeitung. Sie <strong>stellt die Daten bereit, die Physical-AI-Systeme ben\u00f6tigen<\/strong>, um die reale Welt wahrzunehmen und zu interpretieren.<\/p>\n<p data-start=\"389\" data-end=\"1007\">Machine Vision bildet die Wahrnehmungsebene moderner Physical-AI-Anwendungen. Ohne Kameras und Bildverarbeitung gibt es keine Grundlage f\u00fcr autonome Entscheidungen und Handlungen. Moderne Vision-Plattformen wie <a href=\"https:\/\/imago-technologies.com\/de\/industriekamera\/ai-kamera\/\">AI Vision Cameras<\/a>, <a href=\"https:\/\/imago-technologies.com\/de\/industriekamera\/\">AI Smart Cameras<\/a> und <a href=\"https:\/\/imago-technologies.com\/de\/industriekamera\/vision-sensor\/\">AI Vision Sensoren<\/a> erfassen und verarbeiten die Daten, die f\u00fcr eine intelligente Automatisierung erforderlich sind. In Kombination mit flexibler Bildverarbeitungssoftware wie <a href=\"https:\/\/imago-technologies.com\/de\/industrielle-bildverarbeitungssoftware\/\">ViewIT<\/a> schaffen sie die technologische Grundlage f\u00fcr Physical-AI-Systeme, die ihre Umgebung in Echtzeit wahrnehmen, verstehen und darauf reagieren k\u00f6nnen.<\/p>\n<h3>Welche Informationen moderne Vision-Systeme liefern<\/h3>\n<p>Moderne Machine-Vision-Systeme erfassen deutlich mehr als klassische Einzelbilder. Neben hochaufl\u00f6senden Bildern k\u00f6nnen sie <strong>Videodaten, Tiefeninformationen und dreidimensionale Datenmodelle<\/strong> aufnehmen.<\/p>\n<p>Zus\u00e4tzlich lassen sich <strong>Bewegungsdaten, Objektpositionen und r\u00e4umliche Beziehungen<\/strong> zwischen mehreren Objekten analysieren. Dadurch entsteht ein umfassendes digitales Abbild der realen Produktionsumgebung.[\/vc_column_text][\/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; bg_color=&#8220;#dcdcdc&#8220; scene_position=&#8220;center&#8220; top_padding=&#8220;25&#8243; bottom_padding=&#8220;25&#8243; left_padding_desktop=&#8220;30&#8243; constrain_group_2=&#8220;yes&#8220; right_padding_desktop=&#8220;30&#8243; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; column_padding_type=&#8220;default&#8220; column_link=&#8220;https:\/\/imago-technologies.com\/industrial-pc\/embedded-computer\/&#8220; gradient_type=&#8220;default&#8220; content_layout=&#8220;default&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h4>Edge AI Computer<\/h4>\n<p>Industrielle Edge-AI-Computer kombinieren <strong>hohe Rechenleistung, GPU-Beschleunigung und die Anbindung von Machine-Vision-Systemen<\/strong> in einer robusten Plattform. Sie bilden die Grundlage f\u00fcr Physical-AI-Anwendungen, die Echtzeitentscheidungen, anspruchsvolle KI-Modelle und skalierbare Rechenleistung direkt an der Maschine erfordern.[\/vc_column_text][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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;][vc_column 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; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]Diese Daten bilden die Grundlage f\u00fcr intelligente Entscheidungen. Je pr\u00e4ziser ein System seine Umgebung wahrnehmen kann, desto zuverl\u00e4ssiger kann eine Physical-AI-Anwendung auf Ver\u00e4nderungen reagieren.<\/p>\n<h3>Warum klassische Machine Vision allein nicht mehr ausreicht<\/h3>\n<p>Traditionelle Vision-Systeme arbeiten in der Regel regelbasiert. Wird ein bestimmtes Merkmal erkannt, wird eine zuvor definierte Aktion ausgel\u00f6st. Dieses Prinzip eignet sich hervorragend f\u00fcr Anwendungen wie OCR, Code-Lesen, Anwesenheitskontrolle oder Ma\u00dfpr\u00fcfungen.<\/p>\n<p>Moderne Produktionsumgebungen bringen jedoch zunehmend Situationen hervor, die sich nicht vollst\u00e4ndig durch feste Regeln beschreiben lassen. Produkte unterscheiden sich st\u00e4rker voneinander, Umgebungen ver\u00e4ndern sich und Prozesse werden komplexer.<\/p>\n<p>Physical AI erweitert Machine Vision um adaptive Entscheidungsmechanismen. Systeme k\u00f6nnen <strong>Situationen bewerten, Wahrscheinlichkeiten ber\u00fccksichtigen und geeignete Handlungen ausw\u00e4hlen<\/strong>, ohne dass jede m\u00f6gliche Konstellation im Voraus programmiert werden muss.[\/vc_column_text][image_with_animation image_url=&#8220;13920&#8243; image_size=&#8220;full&#8220; max_width=&#8220;100%&#8220; max_width_mobile=&#8220;default&#8220; animation_type=&#8220;entrance&#8220; animation=&#8220;None&#8220; animation_movement_type=&#8220;transform_y&#8220; hover_animation=&#8220;none&#8220; alignment=&#8220;center&#8220; border_radius=&#8220;none&#8220; box_shadow=&#8220;none&#8220; image_loading=&#8220;default&#8220;][\/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; constrain_group_1=&#8220;yes&#8220; constrain_group_2=&#8220;yes&#8220; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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; gradient_type=&#8220;default&#8220; shape_type=&#8220;&#8220;][vc_column column_padding=&#8220;padding-2-percent&#8220; column_padding_tablet=&#8220;inherit&#8220; column_padding_phone=&#8220;inherit&#8220; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;1px&#8220; column_border_color=&#8220;#dcdcdc&#8220; column_border_style=&#8220;solid&#8220; column_padding_type=&#8220;default&#8220; gradient_type=&#8220;default&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h4>Sensor Fusion<\/h4>\n<p>Sensor Fusion<strong> kombiniert Informationen aus mehreren Sensoren<\/strong>, beispielsweise Kameras, Tiefensensoren und Ortungssystemen. Durch die Zusammenf\u00fchrung unterschiedlicher Datenquellen erhalten Physical-AI-Systeme ein umfassenderes Verst\u00e4ndnis ihrer Umgebung und k\u00f6nnen fundiertere Entscheidungen treffen.[\/vc_column_text][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; id=&#8220;3&#8243; 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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2>Typische Anwendungsfelder von Physical AI und Machine Vision<\/h2>\n<p>Die Kombination aus Machine Vision und Physical AI er\u00f6ffnet zahlreiche neue M\u00f6glichkeiten in der industriellen Automatisierung. Besonders dort, wo <strong>Flexibilit\u00e4t, Anpassungsf\u00e4higkeit und autonome Entscheidungsfindung<\/strong> gefragt sind, entstehen erhebliche Vorteile.[\/vc_column_text][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h3>Autonome Mobile Roboter (AMR)<\/h3>\n<p>Autonome mobile Roboter \u00fcbernehmen zunehmend Transportaufgaben in Fabriken und Logistikzentren. Damit sie sicher navigieren k\u00f6nnen, m\u00fcssen sie ihre <strong>Umgebung kontinuierlich wahrnehmen und interpretieren<\/strong>. Entsprechend gewinnt die autonome Navigation in <a href=\"https:\/\/imago-technologies.com\/de\/logistik\/\">Logistik<\/a>&#8211; und <a href=\"https:\/\/imago-technologies.com\/de\/fabrikautomation\/\">Fabrikautomation<\/a> immer mehr an Bedeutung.<\/p>\n<p>Machine Vision erkennt Personen, Fahrzeuge, Hindernisse und freie Fahrwege. Physical AI bewertet diese Informationen und bestimmt die jeweils passende Reaktion.<\/p>\n<p>Durch die Verkn\u00fcpfung von Wahrnehmung und Handlung wird autonome Navigation m\u00f6glich. Der Roboter kann <strong>Hindernissen ausweichen, anhalten oder alternative Routen w\u00e4hlen<\/strong>, ohne auf eine externe Steuerung angewiesen zu sein.<\/p>\n<h3>Qualit\u00e4tskontrolle der n\u00e4chsten Generation<\/h3>\n<p>Die industrielle Bildverarbeitung erkennt Fehler und sortiert fehlerhafte Produkte aus. Physical AI erweitert diesen Ansatz um ein tieferes Verst\u00e4ndnis von Prozesszusammenh\u00e4ngen und deren Ursachen.<\/p>\n<p>Wird beispielsweise eine steigende Ausschussrate erkannt, kann das System zus\u00e4tzliche Einflussfaktoren untersuchen. Dazu geh\u00f6ren Beleuchtungsprobleme, Werkzeugverschlei\u00df oder Ver\u00e4nderungen von Maschinenparametern.<\/p>\n<p>Dadurch entwickelt sich die Qualit\u00e4tskontrolle <strong>von einer reaktiven zu einer proaktiven Technologie<\/strong>. Fehler werden nicht nur erkannt, sondern ihre Ursachen k\u00f6nnen analysiert und geeignete Gegenma\u00dfnahmen eingeleitet werden.[\/vc_column_text][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; id=&#8220;4&#8243; 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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2>Anforderungen an Vision-Hardware f\u00fcr Physical AI<\/h2>\n<p><span style=\"font-weight: 400;\">Physical AI stellt neue Anforderungen an industrielle Vision-Hardware. Autonome Systeme m\u00fcssen gro\u00dfe Datenmengen verarbeiten, KI-Modelle effizient ausf\u00fchren und Entscheidungen in Echtzeit unterst\u00fctzen. Die folgenden Eigenschaften sind f\u00fcr Physical-AI-Anwendungen besonders wichtig:<\/span>[\/vc_column_text][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<table>\n<tbody>\n<tr>\n<td>\n<h5>Edge AI und GPU-Beschleunigung<\/h5>\n<\/td>\n<td>Physical-AI-Anwendungen erfordern h\u00e4ufig unmittelbare Reaktionen auf ver\u00e4nderte Bedingungen. Die Datenverarbeitung direkt am Entstehungsort <strong>reduziert Latenzen und erh\u00f6ht die Zuverl\u00e4ssigkeit<\/strong>. Leistungsf\u00e4hige GPUs erm\u00f6glichen die Ausf\u00fchrung komplexer KI-Modelle <strong>direkt in der Produktionsumgebung<\/strong>, ohne auf externe Rechenressourcen angewiesen zu sein.<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td>\n<h5>Echtzeitverarbeitung<\/h5>\n<\/td>\n<td>Autonome Systeme m\u00fcssen ihre Umgebung kontinuierlich wahrnehmen und ohne Verz\u00f6gerung reagieren. Echtzeitf\u00e4hige Bildaufnahme, Bildverarbeitung und Kommunikation stellen sicher, dass <strong>Entscheidungen auch in dynamischen Situationen schnell und zuverl\u00e4ssig<\/strong> getroffen werden k\u00f6nnen.<\/td>\n<\/tr>\n<tr>\n<td>\n<h5>Skalierbarkeit<\/h5>\n<\/td>\n<td>Physical-AI-Projekte entwickeln sich h\u00e4ufig \u00fcber einen langen Zeitraum weiter. Neue Algorithmen, gr\u00f6\u00dfere Datens\u00e4tze und zus\u00e4tzliche Funktionen m\u00fcssen integriert werden k\u00f6nnen, <strong>ohne das gesamte System neu zu entwickeln<\/strong>. Skalierbare Plattformen bieten die daf\u00fcr notwendige Flexibilit\u00e4t.<\/td>\n<\/tr>\n<tr>\n<td>\n<h5>Offene Softwarearchitekturen<\/h5>\n<\/td>\n<td>Moderne Physical-AI-L\u00f6sungen erfordern die nahtlose Integration von Vision-Systemen, KI, Robotik und Automatisierungstechnik. Offene Softwareumgebungen und standardisierte Schnittstellen <strong>vereinfachen die Integration und unterst\u00fctzen zuk\u00fcnftige Technologieerweiterunge<\/strong>n.<\/td>\n<\/tr>\n<tr>\n<td>\n<h5>Industrielle Zuverl\u00e4ssigkeit<\/h5>\n<\/td>\n<td>Physical-AI-Systeme werden h\u00e4ufig in anspruchsvollen industriellen Umgebungen eingesetzt. <strong>Robuste Hardware, langfristige Verf\u00fcgbarkeit und ein stabiler Betrieb<\/strong> sind entscheidend, um eine zuverl\u00e4ssige Leistung in Produktions- und Logistikanwendungen sicherzustellen.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/vc_column_text][image_with_animation image_url=&#8220;13924&#8243; image_size=&#8220;full&#8220; max_width=&#8220;100%&#8220; max_width_mobile=&#8220;default&#8220; animation_type=&#8220;entrance&#8220; animation=&#8220;None&#8220; animation_movement_type=&#8220;transform_y&#8220; hover_animation=&#8220;none&#8220; alignment=&#8220;&#8220; border_radius=&#8220;none&#8220; box_shadow=&#8220;none&#8220; image_loading=&#8220;default&#8220;][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; id=&#8220;5&#8243; 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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2>Die Rolle von Physical AI f\u00fcr Maschinenbauer und OEMs<\/h2>\n<p><span style=\"font-weight: 400;\">F\u00fcr Maschinenbauer ver\u00e4ndert Physical AI die Anforderungen an die Systementwicklung grundlegend. Der Fokus verschiebt sich von einzelnen Komponenten hin zu intelligenten, integrierten Gesamtsystemen.<\/span><\/p>\n<h3>Vom Einzelprodukt zum intelligenten Gesamtsystem<\/h3>\n<p>Fr\u00fcher standen bei Projekten vor allem die Auswahl von Kamera, Objektiv und Software im Mittelpunkt. Heute m\u00fcssen <strong>Wahrnehmung, KI und Handlung als zusammenh\u00e4ngendes System betrachtet werden<\/strong>.<\/p>\n<p>Die Leistungsf\u00e4higkeit einer Physical-AI-L\u00f6sung entsteht durch das Zusammenspiel aller Komponenten. Autonome Funktionen lassen sich nur dann zuverl\u00e4ssig realisieren, wenn Machine Vision, Rechenplattformen und KI-Technologien nahtlos miteinander integriert sind.<\/p>\n<h3>Neue Anforderungen an die Maschinenentwicklung<\/h3>\n<p>OEMs ben\u00f6tigen zunehmend <strong>Plattformen, die sowohl aktuelle als auch zuk\u00fcnftige KI-Workloads unterst\u00fctzen<\/strong>. Zu den zentralen Anforderungen geh\u00f6ren Echtzeitf\u00e4higkeit, GPU-Beschleunigung und offene Entwicklungsumgebungen.<\/p>\n<p>Gleichzeitig steigen die Anforderungen an Softwareintegration und Datenverarbeitung. <strong>Maschinen entwickeln sich zu intelligenten Systemen, die kontinuierlich lernen und sich an ver\u00e4nderte Bedingungen anpassen k\u00f6nnen<\/strong>.<\/p>\n<p>Dadurch entwickelt sich die F\u00e4higkeit zur Integration von Physical AI zu einem wichtigen Wettbewerbsfaktor f\u00fcr Maschinenbauer und OEMs.[\/vc_column_text][\/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; bg_color=&#8220;#30908f&#8220; scene_position=&#8220;center&#8220; top_padding=&#8220;30&#8243; constrain_group_1=&#8220;yes&#8220; bottom_padding=&#8220;30&#8243; left_padding_desktop=&#8220;30&#8243; constrain_group_2=&#8220;yes&#8220; right_padding_desktop=&#8220;30&#8243; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220; el_class=&#8220;h3_30px&#8220;]\n<h3><span style=\"color: #ffffff;\">Gestalten Sie die Zukunft der industriellen Automatisierung<\/span><\/h3>\n<p><span style=\"color: #ffffff;\">Bef\u00e4higen Sie Maschinen zu sehen, zu verstehen und zu handeln. Die Vision-Plattformen von IMAGO bieten die Leistung, Flexibilit\u00e4t und Skalierbarkeit, die f\u00fcr Physical-AI-Anwendungen der n\u00e4chsten Generation erforderlich sind.<\/span>[\/vc_column_text][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; row_position=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; pointer_events=&#8220;all&#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; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; centered_text=&#8220;true&#8220; desktop_text_alignment=&#8220;center&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; overflow=&#8220;visible&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220; column_padding_type=&#8220;default&#8220; gradient_type=&#8220;default&#8220;][nectar_btn size=&#8220;small&#8220; button_style=&#8220;regular&#8220; button_color_2=&#8220;extra-color-gradient-1&#8243; icon_family=&#8220;default_arrow&#8220; el_class=&#8220;orange_button&#8220; text=&#8220;Unsere Produkte&#8220; url=&#8220;\/de\/products\/&#8220;][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; id=&#8220;6&#8243; 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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2>Physical AI bei IMAGO Technologies<\/h2>\n<p><span style=\"font-weight: 400;\">Der Aufstieg von Physical AI f\u00f6rdert insbesondere den Einsatz frei programmierbarer Vision-Plattformen. Sie bieten die notwendige Flexibilit\u00e4t, um neue KI-Modelle und Anwendungen langfristig zu integrieren.<\/span><\/p>\n<h3>Vision-Plattformen f\u00fcr Physical-AI-Anwendungen<\/h3>\n<p>Leistungsstarke Systeme wie die Vision <a href=\"https:\/\/imago-technologies.com\/de\/industrie-pc\/bildverarbeitung-ki\/\">Box AGE-X6<\/a> mit Vision AI Xcelerix (verf\u00fcgbar ab September 2026), die <a href=\"https:\/\/imago-technologies.com\/de\/industrie-pc\/deep-learning-bildverarbeitung\/\">Vision Box AI<\/a> und die Vision <a href=\"https:\/\/imago-technologies.com\/de\/industrie-pc\/echtzeit-bildverarbeitung\/\">Box AGE-X5<\/a> schaffen die technologische Grundlage f\u00fcr moderne Physical-AI-Anwendungen.<\/p>\n<p>Ihre <strong>hohe Rechenleistung, GPU-Beschleunigung und offenen Softwarearchitekturen<\/strong> erm\u00f6glichen die Ausf\u00fchrung komplexer KI-Workloads direkt in industriellen Umgebungen.<\/p>\n<p>Diese Flexibilit\u00e4t ist entscheidend f\u00fcr Anwendungen, die sich kontinuierlich weiterentwickeln.<\/p>\n<h3>Flexible Embedded-Vision- und Smart-Camera-Systeme<\/h3>\n<p>Kompakte Plattformen wie die <a href=\"https:\/\/imago-technologies.com\/de\/industriekamera\/smart-kamera-industrie\/\">Vision Cam XM2<\/a>, die <a href=\"https:\/\/imago-technologies.com\/de\/industriekamera\/zeilenkamera\/\">Vision Cam LM2<\/a> und der <a href=\"https:\/\/imago-technologies.com\/de\/industriekamera\/ai-vision-sensor\/\">Vision Sensor PV4<\/a> unterst\u00fctzen moderne Machine-Vision-Anwendungen und lassen sich <strong>nahtlos in bestehende Automatisierungsl\u00f6sungen integrieren<\/strong>.<\/p>\n<p>Je nach Anwendung erm\u00f6glichen sie skalierbare Architekturen, die von klassischen Vision-Aufgaben bis hin zu KI-gest\u00fctzten Analysen reichen.<\/p>\n<p>Damit schaffen offene Vision-Plattformen die Grundlage f\u00fcr zuk\u00fcnftige Physical-AI-L\u00f6sungen.[\/vc_column_text][\/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; bg_color=&#8220;#dcdcdc&#8220; scene_position=&#8220;center&#8220; top_padding=&#8220;25&#8243; bottom_padding=&#8220;25&#8243; left_padding_desktop=&#8220;30&#8243; constrain_group_2=&#8220;yes&#8220; right_padding_desktop=&#8220;30&#8243; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; disable_element=&#8220;yes&#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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h4>AI Accelerators<\/h4>\n<p>AI accelerators are <strong>specialized hardware components designed to execute neural networks<\/strong> efficiently. They provide the performance needed for Physical AI applications while reducing power consumption and latency.[\/vc_column_text][\/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; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; id=&#8220;7&#8243; 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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2>Fazit: Warum Physical AI die n\u00e4chste Evolutionsstufe von Machine Vision ist<\/h2>\n<p>Physical AI wird die industrielle Bildverarbeitung nicht ersetzen, sondern konsequent weiterentwickeln. <strong>Machine Vision bleibt die Grundlage f\u00fcr die Wahrnehmung der realen Welt<\/strong> und liefert die Daten, die f\u00fcr autonome Entscheidungen erforderlich sind.<\/p>\n<p>Der entscheidende Fortschritt liegt in der <strong>Erweiterung um Verst\u00e4ndnis, Entscheidungsfindung und Handlung<\/strong>. Dadurch entstehen Systeme, die nicht nur pr\u00fcfen und analysieren, sondern aktiv zur Optimierung industrieller Prozesse beitragen.<\/p>\n<p>Der \u00dcbergang von \u201eSehen und Pr\u00fcfen\u201c zu \u201eSehen, Verstehen und Handeln\u201c markiert die n\u00e4chste Evolutionsstufe industrieller Vision-Systeme. Unternehmen, die diese Entwicklung fr\u00fchzeitig ber\u00fccksichtigen, schaffen die Grundlage f\u00fcr <strong>flexiblere, effizientere und zukunftssichere Automatisierungsl\u00f6sungen<\/strong>.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=&#8220;full_width_background&#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;#F4F7FA&#8220; scene_position=&#8220;center&#8220; top_padding=&#8220;50&#8243; constrain_group_1=&#8220;yes&#8220; bottom_padding=&#8220;50&#8243; left_padding_desktop=&#8220;50&#8243; constrain_group_2=&#8220;yes&#8220; right_padding_desktop=&#8220;50&#8243; constrain_group_3=&#8220;yes&#8220; constrain_group_4=&#8220;yes&#8220; constrain_group_5=&#8220;yes&#8220; left_padding_phone=&#8220;20&#8243; constrain_group_6=&#8220;yes&#8220; right_padding_phone=&#8220;20&#8243; text_color=&#8220;dark&#8220; text_align=&#8220;left&#8220; row_border_radius=&#8220;none&#8220; row_border_radius_applies=&#8220;bg&#8220; row_position_desktop=&#8220;default&#8220; row_position_tablet=&#8220;inherit&#8220; row_position_phone=&#8220;inherit&#8220; overflow=&#8220;visible&#8220; class=&#8220;faq_section&#8220; id=&#8220;8&#8243; 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; gradient_type=&#8220;default&#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; column_padding_position=&#8220;all&#8220; flex_gap_desktop=&#8220;10px&#8220; column_element_direction_desktop=&#8220;default&#8220; column_element_spacing=&#8220;default&#8220; desktop_text_alignment=&#8220;default&#8220; tablet_text_alignment=&#8220;default&#8220; phone_text_alignment=&#8220;default&#8220; background_color_opacity=&#8220;1&#8243; background_hover_color_opacity=&#8220;1&#8243; column_backdrop_filter=&#8220;none&#8220; column_shadow=&#8220;none&#8220; column_border_radius=&#8220;none&#8220; column_link_target=&#8220;_self&#8220; column_position=&#8220;default&#8220; gradient_direction=&#8220;left_to_right&#8220; overlay_strength=&#8220;0.3&#8243; width=&#8220;1\/1&#8243; tablet_width_inherit=&#8220;default&#8220; animation_type=&#8220;default&#8220; bg_image_animation=&#8220;none&#8220; border_type=&#8220;simple&#8220; column_border_width=&#8220;none&#8220; column_border_style=&#8220;solid&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h2 style=\"text-align: center;\">FAQs zu Physical AI<\/h2>\n[\/vc_column_text][toggles style=&#8220;minimal&#8220; accordion=&#8220;true&#8220; accordion_starting_functionality=&#8220;default&#8220;][toggle color=&#8220;Default&#8220; heading_tag=&#8220;h3&#8243; heading_tag_functionality=&#8220;change_html_tag&#8220; title=&#8220;Was ist der Unterschied zwischen Machine Vision und Physical AI?&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]Machine Vision konzentriert sich auf die Wahrnehmung und Analyse visueller Informationen. Physical AI erweitert diesen Ansatz um Situationsverst\u00e4ndnis und autonome Entscheidungsfindung. W\u00e4hrend Machine Vision erkennt, was geschieht, <strong>entscheidet Physical AI zus\u00e4tzlich, welche Handlung daraus folgen soll<\/strong>.[\/vc_column_text][\/toggle][toggle color=&#8220;Default&#8220; heading_tag=&#8220;h3&#8243; heading_tag_functionality=&#8220;change_html_tag&#8220; title=&#8220;Ben\u00f6tigt Physical AI immer k\u00fcnstliche Intelligenz?&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]Physical AI basiert in der Regel auf KI-Technologien, geht jedoch \u00fcber reine KI-Modelle hinaus. Erst das <strong>Zusammenspiel von Sensorik, Machine Vision, Entscheidungslogik und Aktorik<\/strong> erm\u00f6glicht autonome Reaktionen auf reale Umgebungsbedingungen.[\/vc_column_text][\/toggle][toggle color=&#8220;Default&#8220; heading_tag=&#8220;h3&#8243; heading_tag_functionality=&#8220;change_html_tag&#8220; title=&#8220;Welche Rolle spielen Kameras in Physical-AI-Systemen?&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]<strong>Kameras bilden die zentrale Wahrnehmungsebene eines Physical-AI-Systems<\/strong>. Sie liefern Bilder, Tiefeninformationen und Bewegungsdaten, auf deren Grundlage KI-Modelle Entscheidungen treffen k\u00f6nnen. Ohne diese Datenbasis w\u00e4re eine autonome Interaktion mit der Umgebung nicht m\u00f6glich.[\/vc_column_text][\/toggle][toggle color=&#8220;Default&#8220; heading_tag=&#8220;h3&#8243; heading_tag_functionality=&#8220;change_html_tag&#8220; title=&#8220;K\u00f6nnen bestehende Bildverarbeitungssysteme f\u00fcr Physical AI erweitert werden?&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]In vielen F\u00e4llen k\u00f6nnen <strong>bestehende Systeme schrittweise erweitert<\/strong> werden. Wichtige Voraussetzungen sind ausreichende Rechenleistung, offene Softwarearchitekturen und geeignete Schnittstellen. 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