{"id":17211,"date":"2026-09-22T12:37:31","date_gmt":"2026-09-22T10:37:31","guid":{"rendered":"https:\/\/imago-technologies.com\/?p=17211"},"modified":"2026-09-22T13:34:50","modified_gmt":"2026-09-22T11:34:50","slug":"materialflussanalyse-mit-ki-und-omlox","status":"publish","type":"post","link":"https:\/\/imago-technologies.com\/de\/ratgeber\/materialflussanalyse-mit-ki-und-omlox\/","title":{"rendered":"Materialflussanalyse mit KI und omlox"},"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;]<span style=\"font-weight: 400;\">Die Materialflussanalyse schafft Transparenz dar\u00fcber, <strong>was zwischen Maschinen und Prozessen passiert<\/strong>. Sie zeigt, wie sich Personen, Materialien und Transportfahrzeuge durch die Produktion bewegen und wo Wartezeiten oder Engp\u00e4sse entstehen. <strong>Gemeinsam mit dem Fraunhofer IOSB-INA in Lemgo<\/strong> hat IMAGO Technologies eine L\u00f6sung entwickelt, die KI-basierte Echtzeitlokalisierung mit dem <strong>offenen Standard omlox<\/strong> kombiniert. So k\u00f6nnen Unternehmen Material- und Prozessfl\u00fcsse kontinuierlich erfassen, analysieren und Optimierungspotenziale erkennen.<\/span>[\/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>Ein Schnell\u00fcberblick<\/h2>\n<ul>\n<li><strong>Materialflussanalyse in Echtzeit:<\/strong> Bewegungen von Personen, Materialien und Transportfahrzeugen werden kontinuierlich erfasst.<\/li>\n<li><strong>KI direkt auf der Kamera:<\/strong> Die Vision Cam XM2 erkennt und verfolgt Personen und Objekte direkt auf dem Ger\u00e4t \u2013 ohne zus\u00e4tzliche KI-Hardware.<\/li>\n<li><strong>Offener Standard:<\/strong> Positionsdaten werden \u00fcber omlox standardisiert und f\u00fcr weitere Systeme bereitgestellt.<\/li>\n<li><strong>Objektive Prozessanalyse:<\/strong> Heatmaps und digitale Spaghetti-Diagramme zeigen Laufwege, Wartezeiten und Engp\u00e4sse.<\/li>\n<li><strong>Datenschutz:<\/strong> Die Bildverarbeitung erfolgt direkt auf der Kamera. Nach au\u00dfen werden ausschlie\u00dflich abstrahierte Positions- und Bewegungsdaten \u00fcbertragen.<\/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 eine Materialflussanalyse?<\/a><\/li>\n<li><a href=\"#2\">Warum klassische Produktionsdaten f\u00fcr die Materialflussanalyse nicht ausreichen<\/a><\/li>\n<li><a href=\"#3\">Materialflussanalyse mit KI und omlox<\/a><\/li>\n<li><a href=\"#4\">Warum Embedded Vision f\u00fcr die Materialflussanalyse wichtig ist<\/a><\/li>\n<li><a href=\"#5\">Materialfl\u00fcsse in Echtzeit erfassen<\/a><\/li>\n<li><a href=\"#6\">Spaghetti-Diagramme f\u00fcr die Materialflussanalyse<\/a><\/li>\n<li><a href=\"#7\">Datenschutz bei kamerabasierter Materialflussanalyse<\/a><\/li>\n<li><a href=\"#8\">Vorteile einer kontinuierlichen Materialflussanalyse<\/a><\/li>\n<li><a href=\"#9\">FAQs zur Materialflussanalyse<\/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 eine Materialflussanalyse?<\/h2>\n<p>Die Materialflussanalyse untersucht, <strong>wie sich Materialien, Personen und Transportfahrzeuge in Produktions- und Logistikumgebungen bewegen<\/strong>. Ziel ist es, unn\u00f6tige Wege, Wartezeiten und Engp\u00e4sse zu erkennen und tats\u00e4chliche Prozessabl\u00e4ufe transparent zu machen. Dadurch entsteht eine objektive Datengrundlage f\u00fcr die<strong> Optimierung von <a href=\"https:\/\/imago-technologies.com\/de\/fabrikautomation\/\">Produktions-<\/a> und <a href=\"https:\/\/imago-technologies.com\/de\/logistik\/\">Logistikprozessen<\/a><\/strong>.[\/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;\">Materialflussanalyse mit der Vision Cam XM2<\/span><\/h3>\n<p><span style=\"color: #ffffff;\">Nutzen Sie KI-basierte Embedded Vision, um Materialbewegungen sichtbar zu machen, Engp\u00e4sse zu erkennen und Produktions- und Logistikprozesse zu optimieren. Entdecken Sie die Vision Cam XM2 von IMAGO Technologies.<\/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;Vision Cam XM2 entdecken&#8220; url=&#8220;https:\/\/imago-technologies.com\/de\/industriekamera\/smart-kamera-industrie\/&#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;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>Warum klassische Produktionsdaten f\u00fcr die Materialflussanalyse nicht ausreichen<\/h2>\n<p>Industrieunternehmen haben in den vergangenen Jahren stark in Digitalisierung, Automatisierung und Datenanalyse investiert. Maschinen liefern Statusdaten in Echtzeit, Produktionskennzahlen werden visualisiert und ERP-, MES- und WMS-Systeme zunehmend miteinander vernetzt.<\/p>\n<p>Was jedoch h\u00e4ufig fehlt, ist die <strong>r\u00e4umliche Transparenz \u00fcber die tats\u00e4chlichen Bewegungen innerhalb der Fabrik<\/strong>.<\/p>\n<p>Wer oder was befindet sich zu einem bestimmten Zeitpunkt wo? Welche Wege werden tats\u00e4chlich zur\u00fcckgelegt? Wo entstehen wiederkehrende Wartezeiten?<\/p>\n<p>Erst wenn diese Informationen verf\u00fcgbar sind, l\u00e4sst sich der gesamte Produktionsfluss \u00fcber einzelne Maschinen und Anlagen hinaus analysieren.[\/vc_column_text][vc_row_inner disable_element=&#8220;yes&#8220; 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;13930&#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;13936&#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; 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>Materialflussanalyse mit KI und omlox<\/h2>\n<p>Die gemeinsam von Fraunhofer IOSB-INA und IMAGO entwickelte L\u00f6sung <strong>kombiniert Embedded Vision, KI-basiertes Tracking und omlox<\/strong>.<\/p>\n<p><a href=\"https:\/\/imago-technologies.com\/de\/industriekamera\/smart-kamera-industrie\/\">Vision Cam XM2<\/a> Smart Cameras erfassen die Produktionsumgebung als RGB-Bilder. Die KI-basierte Personen- und Objekterkennung erfolgt direkt auf der Kamera. Erkannte Objekte werden anschlie\u00dfend kontinuierlich verfolgt.<\/p>\n<p>Eine von Fraunhofer entwickelte Software kalibriert die Kameras, projiziert die erkannten Objekte auf die Bodenebene und erzeugt daraus 2D-Positionen.<\/p>\n<p>Diese Positionen werden als omlox-konforme Trackables an einen omlox Hub \u00fcbertragen. Von dort stehen die Positionsdaten f\u00fcr Visualisierung, Materialflussanalyse sowie die Integration in weitere IT- und OT-Systeme zur Verf\u00fcgung.[\/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; 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; column_padding_type=&#8220;default&#8220; column_link=&#8220;https:\/\/imago-technologies.com\/smart-cameras\/&#8220; gradient_type=&#8220;default&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]\n<h4>Was ist omlox?<\/h4>\n<p><span style=\"font-weight: 400;\">omlox ist ein <strong>offener Standard f\u00fcr die Echtzeitlokalisierung<\/strong> in industriellen Umgebungen. Er verbindet unterschiedliche Ortungstechnologien wie Kameras, RFID, UWB und GPS \u00fcber einen gemeinsamen Hub und eine standardisierte API. So k\u00f6nnen Positionsdaten von Produktionsmitteln, Waren, Fahrzeugen oder Personen zentral f\u00fcr Analysen und die weitere Verarbeitung bereitgestellt werden.<\/span>[\/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; 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; 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;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>Time-of-Flight (ToF)<\/h4>\n<p>Time-of-Flight is a method for 3D acquisition. It measures the time it takes for light to travel from the object back to the camera. This allows distances and shapes to be calculated with very high precision \u2014 ideal for robotics or volume measurement.[\/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>Stereoscopy<\/h4>\n<p>Stereoscopy uses two cameras with a defined distance between them to generate 3D image data \u2014 similar to human vision. The method is used for tasks such as position detection, volume measurement, and 3D inspection.[\/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>Warum Embedded Vision f\u00fcr die Materialflussanalyse wichtig ist<\/h2>\n<p>Ein wesentliches Merkmal der L\u00f6sung ist, dass die <strong>KI-basierte Bildverarbeitung direkt auf der Vision Cam XM2 stattfindet<\/strong>.<\/p>\n<p>Ausgestattet mit <strong>NVIDIA Jetson Technologie<\/strong> \u00fcbernimmt die <a href=\"https:\/\/imago-technologies.com\/de\/industriekamera\/\">Smart Camera<\/a> sowohl die Bilderfassung als auch die KI-basierte Erkennung und das Tracking. Die eigentliche Bildverarbeitung muss dadurch nicht auf einen zus\u00e4tzlichen Edge-Server oder in die Cloud ausgelagert werden.<\/p>\n<p>F\u00fcr industrielle Anwendungen bietet das mehrere Vorteile: Die Verarbeitung erfolgt nahe an der Datenquelle, <strong>gro\u00dfe Mengen an Bilddaten m\u00fcssen nicht kontinuierlich \u00fcbertragen werden<\/strong> und die Vision-L\u00f6sung kann dezentral in die Produktionsumgebung integriert werden.<\/p>\n<p>Auch die <strong>langfristige Hardwareverf\u00fcgbarkeit<\/strong> ist f\u00fcr industrielle Anwendungen ein wichtiger Faktor. Eine Hardwareplattform, die \u00fcber viele Jahre verf\u00fcgbar bleibt, reduziert den Validierungsaufwand und erleichtert die langfristige Maschinen- und Anlagenplanung.[\/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; 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>Edge Computing<\/h4>\n<p>Beim Edge Computing findet die <strong>Datenverarbeitung direkt am Ort der Datenerfassung<\/strong> statt \u2013 etwa in der Kamera oder einem lokalen Ger\u00e4t. Die Vorteile: geringe Latenz, reduzierte Datenlast und h\u00f6here Ausfallsicherheit bei instabiler Netzverbindung.[\/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;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>Materialfl\u00fcsse in Echtzeit erfassen<\/h2>\n<p>Die L\u00f6sung ist bereits in der SmartFactoryOWL in Lemgo im Einsatz, der Test- und Demonstrationsfabrik von Fraunhofer und der Technischen Hochschule Ostwestfalen-Lippe.<\/p>\n<p>Dort erfassen Vision Cam XM2 Smart Cameras gemeinsam mit weiteren omlox-Sensoren kontinuierlich die Positionen von Personen, Fahrzeugen und Materialtr\u00e4gern.<\/p>\n<p>Die Daten werden im omlox Hub gesammelt und k\u00f6nnen anschlie\u00dfend mit geeigneten Analysetools visualisiert werden. Dazu geh\u00f6ren:<\/p>\n<ul>\n<li>Heatmaps<\/li>\n<li>Digitale Spaghetti-Diagramme<\/li>\n<li>Durchlaufzeitanalysen<\/li>\n<li>Auslastungsdiagramme<\/li>\n<\/ul>\n<p>Dadurch werden typische Suchwege, Stausituationen, Wartezeiten und Engp\u00e4sse objektiv sichtbar.[\/vc_column_text][image_with_animation image_url=&#8220;17199&#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; 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>Spaghetti-Diagramme f\u00fcr die Materialflussanalyse<\/h2>\n<p><strong>Digitale Spaghetti-Diagramme bieten eine besonders anschauliche M\u00f6glichkeit, Bewegungsdaten zu analysieren<\/strong>.<\/p>\n<p>Klassische Laufwegstudien werden h\u00e4ufig manuell durchgef\u00fchrt. Das erfordert Personal, bildet nur einen begrenzten Zeitraum ab und kann durch subjektive Beobachtungen beeinflusst werden.<\/p>\n<p>Eine kamerabasierte Materialflussanalyse erfasst Bewegungen dagegen kontinuierlich. Spaghetti-Diagramme k\u00f6nnen dadurch automatisch f\u00fcr einzelne Schichten, bestimmte Wochen oder Zeitr\u00e4ume vor und nach einer Layout\u00e4nderung erstellt werden.<\/p>\n<p>So lassen sich auch seltene, aber kritische Situationen erkennen, die bei einer kurzfristigen manuellen Analyse m\u00f6glicherweise unentdeckt bleiben.[\/vc_column_text][image_with_animation image_url=&#8220;17196&#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; 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>Was ist ein Spaghetti-Diagramm?<\/h4>\n<p><span style=\"font-weight: 400;\">Ein Spaghetti-Diagramm <strong>visualisiert die Lauf- und Bewegungswege von Personen, Materialien oder Transportfahrzeugen<\/strong> innerhalb einer Produktionsumgebung. Es hilft dabei, unn\u00f6tige Wege, wiederkehrende Bewegungsmuster, Wartezeiten und Engp\u00e4sse zu erkennen \u2013 und schafft damit eine klare Grundlage f\u00fcr die Optimierung von Materialfl\u00fcssen und Prozessen.<\/span>[\/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>Datenschutz bei kamerabasierter Materialflussanalyse<\/h2>\n<p><strong>Datenschutz ist besonders wichtig, wenn Bewegungen von Personen analysiert werden<\/strong>.<\/p>\n<p>Aus diesem Grund werden die <strong>Bilddaten direkt auf der Kamera verarbeitet<\/strong>. Personen werden ausschlie\u00dflich als neutrale, <strong>pseudonyme Objekte<\/strong> erfasst und verfolgt.<\/p>\n<p>Nach au\u00dfen werden lediglich abstrahierte Positions- und Bewegungsdaten \u00fcbertragen \u2013 keine Bilddaten oder identifizierenden Merkmale.<\/p>\n<p>Im Mittelpunkt der Analyse stehen damit Bewegungsmuster und Prozessabl\u00e4ufe und nicht die Identifikation einzelner Mitarbeitender.[\/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;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>Vorteile einer kontinuierlichen Materialflussanalyse<\/h2>\n<p><span style=\"font-weight: 400;\">Eine kontinuierliche Materialflussanalyse liefert Unternehmen objektive Einblicke in Bewegungen zwischen Maschinen, Lagerbereichen und Prozessschritten. Dadurch lassen sich <strong>Ineffizienzen erkennen, Abl\u00e4ufe optimieren<\/strong> und Produktions- sowie Logistikprozesse kontinuierlich verbessern.<\/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>Transparente Materialfl\u00fcsse<\/h5>\n<\/td>\n<td>Die Materialflussanalyse <strong>macht die tats\u00e4chlichen Bewegungen von Materialien, Personen und Transportfahrzeugen sichtbar<\/strong>. Dadurch entsteht Transparenz \u00fcber einzelne Maschinen hinaus und ein vollst\u00e4ndigeres Bild der Produktionsabl\u00e4ufe.<\/td>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td>\n<h5>Optimierte Wege<\/h5>\n<\/td>\n<td>Durch kontinuierliches Tracking lassen sich unn\u00f6tige Lauf- und Transportwege erkennen. Auf Basis dieser Daten k\u00f6nnen <strong>Abl\u00e4ufe und Layouts optimiert<\/strong> werden, um Wege zu verk\u00fcrzen und die Effizienz zu steigern.<\/td>\n<\/tr>\n<tr>\n<td>\n<h5>Engp\u00e4sse erkennen<\/h5>\n<\/td>\n<td>Bewegungs- und Positionsdaten erm\u00f6glichen es, <strong>Wartezeiten, Stausituationen<\/strong> und wiederkehrende Engp\u00e4sse zu erkennen. So wird sichtbar, an welchen Stellen Prozesse ins Stocken geraten und Optimierungsbedarf besteht.<\/td>\n<\/tr>\n<tr>\n<td>\n<h5>Objektiver Prozessvergleich<\/h5>\n<\/td>\n<td>Materialflussdaten erm\u00f6glichen es Unternehmen, Prozesse und Layout\u00e4nderungen objektiv miteinander zu vergleichen. <strong>Bewegungsmuster k\u00f6nnen vor und nach Ver\u00e4nderungen analysiert werden<\/strong>, um deren tats\u00e4chliche Auswirkungen zu bewerten.<\/td>\n<\/tr>\n<tr>\n<td>\n<h5>Datenbasierte Prozessoptimierung<\/h5>\n<\/td>\n<td>Die Kombination aus KI-basierter Echtzeitlokalisierung, Embedded Vision und omlox schafft eine <strong>objektive Datengrundlage f\u00fcr die kontinuierliche Verbesserung von Produktions- und Logistikprozessen<\/strong>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\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;\">Materialflussanalyse mit der Vision Cam XM2<\/span><\/h3>\n<p><span style=\"color: #ffffff;\">Nutzen Sie die Vision Cam XM2, um Objekte direkt am Edge zu erkennen und zu verfolgen und die daraus entstehenden Daten in bestehende Automatisierungs- und IT-Infrastrukturen zu integrieren.<\/span>[\/vc_column_text][vc_row_inner column_margin=&#8220;default&#8220; 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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;Vision Cam XM2&#8243; url=&#8220;https:\/\/imago-technologies.com\/de\/industriekamera\/smart-kamera-industrie\/&#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;7&#8243; 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<h2>Why Industrial Image Processing Pays Off for Industrial Companies<\/h2>\n<p><span style=\"font-weight: 400;\">Industrial image processing is the key to<\/span><b> intelligent, efficient, and future-proof production<\/b><span style=\"font-weight: 400;\">. If you want to automate quality assurance, traceability, and process optimization, there&#8217;s no getting around powerful industrial image processing. Today, these technologies are more mature, flexible, and affordable than ever. Especially given the increasing shortage of skilled labor, image processing offers industrial companies an opportunity to sustainably improve production processes.<\/span>[\/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;9&#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 zur Materialflussanalyse<\/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 eine Materialflussanalyse?&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]<span style=\"font-weight: 400;\">Die Materialflussanalyse <strong>untersucht die Bewegungen von Materialien und Objekten<\/strong> innerhalb von Produktions- und Logistikprozessen. Sie hilft dabei, Wege, Wartezeiten, Engp\u00e4sse und Ineffizienzen zu erkennen und Prozesse auf Basis objektiver Daten zu optimieren.<\/span>[\/vc_column_text][\/toggle][toggle color=&#8220;Default&#8220; heading_tag=&#8220;h3&#8243; heading_tag_functionality=&#8220;change_html_tag&#8220; title=&#8220;Wie kann KI f\u00fcr die Materialflussanalyse eingesetzt werden?&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]<span style=\"font-weight: 400;\">KI-basierte Bildverarbeitung kann Personen und Objekte automatisch in Kamerabildern erkennen und \u00fcber einen l\u00e4ngeren Zeitraum verfolgen. Dadurch <strong>entstehen Positions- und Bewegungsdaten<\/strong>, die f\u00fcr die Analyse von Material- und Prozessfl\u00fcssen genutzt werden k\u00f6nnen.<\/span>[\/vc_column_text][\/toggle][toggle color=&#8220;Default&#8220; heading_tag=&#8220;h3&#8243; heading_tag_functionality=&#8220;change_html_tag&#8220; title=&#8220;Was ist ein Spaghetti-Diagramm?&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]Ein Spaghetti-Diagramm <strong>visualisiert die Bewegungswege von Personen, Materialien oder Transportfahrzeugen<\/strong> innerhalb einer Produktionsumgebung. Dadurch werden h\u00e4ufig genutzte Wege, unn\u00f6tige Umwege und Engp\u00e4sse sichtbar.[\/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 Daten werden bei der kamerabasierten Materialflussanalyse \u00fcbertragen?&#8220;][vc_column_text css=&#8220;&#8220; text_direction=&#8220;default&#8220;]<span style=\"font-weight: 400;\">Die Bildverarbeitung erfolgt direkt auf der Kamera. Nach au\u00dfen werden ausschlie\u00dflich abstrahierte Positions- und Bewegungsdaten \u00fcbertragen \u2013 keine Bilddaten oder identifizierenden Merkmale. Personen werden als neutrale, pseudonyme Objekte erfasst.<\/span>[\/vc_column_text][\/toggle][\/toggles][\/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;30&#8243; bottom_padding=&#8220;0&#8243; bottom_margin=&#8220;0&#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; 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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;&#8230;<\/p>\n","protected":false},"author":8,"featured_media":17194,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[147],"tags":[],"class_list":["post-17211","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ratgeber"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Materialflussanalyse mit KI und omlox | IMAGO Technologies<\/title>\n<meta name=\"description\" content=\"Materialflussanalyse mit KI &amp; omlox: \u2713 Personen- &amp; Fahrzeugtracking \u2713 transparente Materialfl\u00fcsse \u2713 Engp\u00e4sse erkennen \u25ba Jetzt lesen!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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