{"id":24899,"date":"2026-05-12T13:44:10","date_gmt":"2026-05-12T13:44:10","guid":{"rendered":"https:\/\/framos.com\/nvidia-jetson\/"},"modified":"2026-07-31T07:07:39","modified_gmt":"2026-07-31T07:07:39","slug":"nvidia-jetson","status":"publish","type":"page","link":"https:\/\/framos.com\/de\/losungen\/verarbeitungsplattformen\/nvidia-jetson\/","title":{"rendered":"Systemfertige Kameramodule f\u00fcr die NVIDIA Jetson-Plattform"},"content":{"rendered":"<div class=\"wp-block-framos-content-image relative py-6\">\r\n    <svg class=\"absolute inset-0 -z-10 w-full h-full stroke-gray-200 dark:stroke-gray-700 [mask-image:radial-gradient(50%_50%_at_bottom_right,white,transparent)]\" aria-hidden=\"true\">\r\n      <defs>\r\n        <pattern id=\"pattern-grid-6abd19be6ef30\" width=\"50\" height=\"50\" y=\"-1\" patternUnits=\"userSpaceOnUse\">\r\n          <path d=\"M.5 200V.5H200\" fill=\"none\" \/>\r\n        <\/pattern>\r\n      <\/defs>\r\n      <rect width=\"100%\" height=\"100%\" stroke-width=\"0\" fill=\"url(#pattern-grid-6abd19be6ef30)\" \/>\r\n    <\/svg>\r\n\r\n    <div class=\"mx-auto max-w-7xl px-6 lg:px-8\">\r\n        <div class=\"relative isolate overflow-visible py-20 sm:rounded-3xl sm:py-12 lg:py-24\">\r\n            \r\n            <div class=\"relative z-10\">\r\n                <div class=\"mx-auto flex max-w-2xl flex-col lg:flex-row lg:max-w-none lg:items-start gap-16\">\r\n                    <div class=\"w-full lg:w-1\/2\">\r\n                        <h2 class=\"font-framos-light text-3xl lg:text-4xl leading-tight mb-6 text-framosDarkBlue dark:text-white\">\r\n                            Erstellen Sie Ihr Jetson-Bildverarbeitungssystem mit FRAMOS                        <\/h2>\r\n\r\n                                                    <p class=\"text-base leading-7 mb-4 text-gray-600 dark:text-gray-200 my-8\">\r\n                                NVIDIA\u00ae Jetson\u2122-Plattformen bieten eingebetteten KI-Systemen leistungsstarke Rechenkapazit\u00e4ten am Edge; eine zuverl\u00e4ssige Bildverarbeitungsleistung h\u00e4ngt jedoch von mehr ab als nur vom Anschluss einer Kamera an eine Platine. Der Bildsensor, die Optik, der Treiber, die ISP-Konfiguration, der Streaming-Workflow und die Anwendungssoftware m\u00fcssen alle zusammenwirken. <br><br>FRAMOS unterst\u00fctzt Jetson-basierte Bildverarbeitungssysteme mit einsatzbereiten FSM:GO-Kameramodulen, Open-Source-Treibern, V4L2- und LibSV-Ressourcen, Unterst\u00fctzung f\u00fcr Holoscan-Workflows, optimierten Bildverarbeitungs-Pipelines sowie Integrationskompetenz f\u00fcr 2D- und 3D-Bildverarbeitungsanwendungen.                            <\/p>\r\n                        \r\n                        <div class=\"max-w-xl lg:mt-2 lg:max-w-lg lg:border-t lg:border-gray-900\/10 lg:pt-6\">\r\n                            <dl class=\"framos-accordions divide-y divide-gray-900\/10\">\r\n                                \n<div class=\"wp-block-framos-content-image-video\"><div class=\"sr-only rankmath-seo-content\"><strong>Build Your Jetson Vision System with FRAMOS<\/strong><span>NVIDIA\u00ae Jetson\u2122 platforms give embedded AI systems powerful processing at the edge, but reliable vision performance depends on more than connecting a camera to a board. The image sensor, optics, driver, ISP configuration, streaming workflow, and application software all need to work together.<br><br>FRAMOS supports Jetson-based vision systems with system-ready FSM:GO camera modules, open-source drivers, V4L2 and LibSV resources, Holoscan workflow support, tuned image pipelines, and integration expertise across 2D and 3D vision applications.<\/span><\/div><div class=\"wp-block-framos-accordion py-2\">\n <dt>\n <button type=\"button\" class=\"accordion-head flex w-full items-start justify-between text-left focus:outline-none border-0 bg-transparent shadow-none p-0\" aria-expanded=\"true\"  data-cta=\"true\" data-cta-id=\"framos_accordion.1.button\" data-cta-label=\"\" data-cta-location=\"framos_accordion@nvidia-jetson\" data-cta-destination=\"\" data-cta-type=\"primary\">\n <h3 class=\"text-framosDarkBlue dark:text-white text-lg font-framos-bold leading-snug py-0 m-0\">\n <strong>Unterst\u00fctzung<\/strong> f\u00fcr <strong>die<\/strong> Jetson <strong>-Plattform<\/strong> <\/h3>\n <span class=\"ml-6 flex h-7 items-center\">\n <svg class=\"close-icon w-6 h-6 hidden\" fill=\"none\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"currentColor\">\n <path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M12 6v12m6-6H6\" \/>\n <\/svg>\n <svg class=\"open-icon w-6 h-6\" fill=\"none\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"currentColor\">\n <path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M18 12H6\" \/>\n <\/svg>\n <\/span>\n <\/button>\n <\/dt>\n <dd class=\"text-gray-600 dark:text-gray-200 accordion-body mt-2 pr-12 overflow-hidden ml-0\">\n \n<ul class=\"wp-block-list\">\n<li>Open-Source-Jetson-Treiber f\u00fcr FRAMOS-Bildsensormodule<\/li>\n\n\n\n<li>V4L2- und LibSV-Ressourcen f\u00fcr die Entwicklung von Kameraanwendungen<\/li>\n\n\n\n<li>Unterst\u00fctzung des NVIDIA Holoscan-Workflows f\u00fcr leistungsstarkes Vision-Streaming<\/li>\n\n\n\n<li>ISP-Optimierung und Unterst\u00fctzung der Bildqualit\u00e4t f\u00fcr eine gleichbleibende Leistung im Bereich Embedded Vision<\/li>\n<\/ul>\n <\/dd>\n<\/div>\n<\/div>\n                            <\/dl>\r\n                        <\/div>\r\n                    <\/div>\r\n\r\n                    <div class=\"w-full lg:w-1\/2 lg:sticky lg:top-24 lg:self-start\">\r\n                                                    <!-- Default Image View -->\r\n                                                            <img decoding=\"async\"\r\n                                    src=\"https:\/\/framos.com\/wp-content\/uploads\/2026\/01\/FSM-GO-IMX676C-M12A-L185A-FFC40A-A1Q1-FMA-CBL-FFC22-0.2m-V1A-FPA-A-P22-Kit-Top-scaled.png\"\r\n                                    alt=\"FSM FSA Jetson\"\r\n                                    class=\"relative -z-20 w-full max-w-full rounded-xl shadow-xl ring-1 ring-white\/10\"\r\n                                \/>\r\n                                                                        <\/div>\r\n                <\/div>\r\n            <\/div>\r\n        <\/div>\r\n    <\/div>\r\n<\/div><div class=\"alignfull wp-block-framos-media-text\">\n    <div class=\"\">\n        <div class=\"mx-auto max-w-7xl py-24 sm:px-6 sm:py-32 lg:px-8\">\n            <div class=\"relative isolate overflow-hidden bg-framosDarkBlue px-6 pt-16 shadow-2xl sm:rounded-3xl sm:px-16 md:pt-24 lg:flex lg:gap-x-20 lg:px-24 lg:pt-0\">\n                <svg viewBox=\"0 0 1024 1024\" class=\"absolute left-1\/2 top-1\/2 -z-10 size-[64rem] -translate-y-1\/2 [mask-image:radial-gradient(closest-side,white,transparent)] sm:left-full sm:-ml-80 lg:left-1\/2 lg:ml-0 lg:-translate-x-1\/2 lg:translate-y-0\" aria-hidden=\"true\">\n                    <circle cx=\"512\" cy=\"512\" r=\"512\" fill=\"url(#framos-media-text-gradient-1)\" fill-opacity=\"0.7\" \/>\n                    <defs>\n                        <radialGradient id=\"framos-media-text-gradient-1\">\n                            <stop stop-color=\"#00c4d4\" \/>\n                            <stop offset=\"1\" stop-color=\"#0098B0\" \/>\n                        <\/radialGradient>\n                    <\/defs>\n                <\/svg>\n                <div class=\"mx-auto max-w-md text-center lg:mx-0 lg:flex-auto lg:py-32 lg:text-left\">\n                    <h2 class=\"font-framos-light text-3xl lg:text-4xl leading-tight mb-6 text-white\">\n                        Systemf\u00e4hige Kameras f\u00fcr NVIDIA Jetson                    <\/h2>\n\n                                            <div class=\"text-base leading-7 mb-4 text-gray-100 mt-6 text-pretty text-lg\/8\">\n                            FRAMOS unterst\u00fctzt Teams dabei, hochwertige Kameradaten schneller in NVIDIA Jetson-Systeme zu integrieren. Unsere FSM:GO-Kameramodule kombinieren ausgew\u00e4hlte Sony-Bildsensoren, validierte Optiken, plattformoptimierte Treiber und abgestimmte Bildverarbeitungsprozesse, um den Aufwand f\u00fcr die Kameraintegration zu reduzieren und die Bildkonsistenz auf der Zielplattform zu verbessern. <br><br>Entwickler k\u00f6nnen \u00fcber das FRAMOS-GitHub-Repository unter <a href=\"https:\/\/github.com\/framosimaging\" target=\"_blank\" rel=\"noopener\">github.com\/framosimaging<\/a> auf FRAMOS-Jetson-Treiber, LibSV-Ressourcen und Holoscan-Treiberunterst\u00fctzung zugreifen. Die Unterst\u00fctzung erstreckt sich zudem \u00fcber die 2D-Bildgebung hinaus und umfasst auch FRAMOS D400e 3D-Tiefenkameras f\u00fcr Jetson-basierte Systeme, die Holoscan-Workflows nutzen.                         <\/div>\n                    \n                    <div class=\"mt-10 flex items-center justify-center gap-x-6 lg:justify-start\">\n                                                    <a href=\"\/contact\/\" class=\"btn-round-arrow visited:text-white dark:visited:text-white\"  data-cta=\"true\" data-cta-id=\"framos_media-text.1.primary_button\" data-cta-label=\"mit vision-expert:innen sprechen\" data-cta-location=\"framos_media-text@nvidia-jetson\" data-cta-destination=\"\/contact\/\" data-cta-type=\"primary\">\n                                <span>Mit Vision-Expert:innen sprechen<\/span>\n                            <\/a>\n                        \n                                            <\/div>\n                <\/div>\n\n                                    <div class=\"relative mt-16 h-80 lg:mt-8\">\n                        <img decoding=\"async\"\n                            src=\"https:\/\/framos.com\/wp-content\/uploads\/2026\/01\/FSM-GO-IMX676C-M12A-L185A-FFC40A-A1Q1-FMA-CBL-FFC22-0.2m-V1A-FPA-A-P22-Kit-Top-scaled.png\"\n                            alt=\"FSM FSA Jetson\"\n                            class=\"absolute left-0 top-0 w-[40rem] max-w-none rounded-md bg-white\/5 ring-1 ring-white\/10\"\n                        \/>\n                    <\/div>\n                            <\/div>\n        <\/div>\n    <\/div>\n<\/div> <div class=\"services-block-wrapper relative isolate overflow-visible py-24 sm:py-32 section-start\">\n <div class=\"absolute inset-0 -z-10 overflow-hidden\">\n <svg class=\"w-full h-full stroke-gray-200 dark:stroke-gray-700 [mask-image:radial-gradient(50%_50%_at_bottom_left,white,transparent)]\" aria-hidden=\"true\">\n <defs>\n <pattern id=\"pattern-grid-6abd19be7008c\" width=\"50\" height=\"50\" y=\"-1\" patternUnits=\"userSpaceOnUse\">\n <path d=\"M.5 200V.5H200\" fill=\"none\" \/>\n <\/pattern>\n <\/defs>\n <rect width=\"100%\" height=\"100%\" stroke-width=\"0\" fill=\"url(#pattern-grid-6abd19be7008c)\" \/>\n <\/svg>\n <\/div>\n\n <div class=\"relative z-10\">\n <!-- Top: Headings -->\n <div class=\"mx-auto max-w-7xl px-6 lg:px-8\">\n <div class=\"mx-auto max-w-2xl lg:max-w-none\">\n <div class=\"max-w-7xl\">\n \n <h2 class=\"font-framos-light text-3xl lg:text-4xl leading-tight mb-6 text-framosDarkBlue dark:text-white text-center max-w-4xl mx-auto\">\n Unterst\u00fctzung f\u00fcr den NVIDIA Jetson Vision Stack <\/h2>\n\n <p class=\"text-base leading-7 mb-4 text-gray-600 dark:text-gray-200 paragraph-c\">\n FRAMOS unterst\u00fctzt den gesamten Prozess vom Kameramodul bis zur Jetson-Anwendung. Unsere Plattformressourcen helfen Entwicklern dabei, auf Bilddaten zuzugreifen, die Bildqualit\u00e4t zu optimieren und zuverl\u00e4ssige 2D- und 3D-Bildverarbeitungspipelines f\u00fcr eingebettete KI-Systeme zu erstellen.  <\/p>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Bottom: Image + List -->\n <div class=\"bottom-div mx-auto max-w-7xl px-6 lg:px-8 mt-16\">\n <div class=\"mx-auto max-w-2xl lg:max-w-none\">\n <div class=\"lg:flex lg:items-center gap-12 lg:justify-between \">\n\n <!-- Image column -->\n <div class=\"\n flex justify-center \n lg:w-1\/2 \n lg:justify-end \n lg:pr-12 \n lg:sticky lg:top-24 lg:self-start\n \">\n  <img decoding=\"async\" src=\"https:\/\/framos.com\/wp-content\/uploads\/2026\/03\/droneFramos1.jpg\" alt=\"Sample image\" class=\"relative w-full max-w-full rounded-xl shadow-xl ring-1 ring-white\/10\" \/>\n  <\/div>\n\n\n <!-- Content column -->\n <ul role=\"list\" class=\"list-disc list-outside ml-5 mb-4 space-y-2 text-gray-600 dark:text-gray-200 lg:w-1\/2 mt-2 text-base\/7\">\n \n    <li class=\"text-base text-gray-600 dark:text-gray-200 group mt-10 first:mt-0  group\">\n  <div style=\"opacity: 1; transform: none;\">\n    <div class=\"pt-10 group-first:pt-0 group-first:before:hidden group-first:after:hidden relative\n            before:absolute before:top-0 before:left-0 before:h-px before:w-6\n            after:absolute after:top-0 after:left-8 after:right-0 after:h-px\n            before:bg-primary dark:before:bg-primary\n            after:bg-gray-300 dark:after:bg-gray-700\">\n  \n\n<h3 class=\"wp-block-heading\">Open-Source-Treiber und V4L2-Workflows<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">FRAMOS stellt Treiberressourcen f\u00fcr Jetson-Systeme bereit, die f\u00fcr unterst\u00fctzte Bildsensormodule gelten, und unterst\u00fctzt Entwickler dabei, Kamerahardware mithilfe vertrauter Linux-Video-Workflows in NVIDIA-Jetson-Systeme zu integrieren. LibSV bietet eine optimierte Entwicklungsschicht f\u00fcr V4L2-basierte Kameraanwendungen. <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Jetson-Treiberressourcen f\u00fcr unterst\u00fctzte FRAMOS-Sensormodule<\/li>\n\n\n\n<li>LibSV-Unterst\u00fctzung f\u00fcr die Entwicklung von V4L2-Anwendungen<\/li>\n<\/ul>\n\n<\/div>\n\n  <\/div>\n<\/li>\n\n\n\n\n    <li class=\"text-base text-gray-600 dark:text-gray-200 group mt-10 first:mt-0  group\">\n  <div style=\"opacity: 1; transform: none;\">\n    <div class=\"pt-10 group-first:pt-0 group-first:before:hidden group-first:after:hidden relative\n            before:absolute before:top-0 before:left-0 before:h-px before:w-6\n            after:absolute after:top-0 after:left-8 after:right-0 after:h-px\n            before:bg-primary dark:before:bg-primary\n            after:bg-gray-300 dark:after:bg-gray-700\">\n  \n\n<h3 class=\"wp-block-heading\">Holoscan-kompatible 2D- und 3D-Bildverarbeitung<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">FRAMOS unterst\u00fctzt NVIDIA Holoscan-Workflows f\u00fcr leistungsstarkes Vision-Streaming und die Sensorintegration. Dazu geh\u00f6rt die Holoscan-Treiberunterst\u00fctzung f\u00fcr die optischen Sensormodule FSM:GO sowie die 3D-Tiefenkameras D400e, die \u00fcber Holoscan Sensor Bridge-Workflows in Jetson-basierte Systeme eingebunden werden k\u00f6nnen. <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Holoscan-Unterst\u00fctzung f\u00fcr FSM:GO-2D-Kameramodule<\/li>\n\n\n\n<li>Unterst\u00fctzung der 3D-Tiefenkamera D400e f\u00fcr Jetson-Vision-Systeme<\/li>\n<\/ul>\n\n<\/div>\n\n  <\/div>\n<\/li>\n\n\n\n\n    <li class=\"text-base text-gray-600 dark:text-gray-200 group mt-10 first:mt-0  group\">\n  <div style=\"opacity: 1; transform: none;\">\n    <div class=\"pt-10 group-first:pt-0 group-first:before:hidden group-first:after:hidden relative\n            before:absolute before:top-0 before:left-0 before:h-px before:w-6\n            after:absolute after:top-0 after:left-8 after:right-0 after:h-px\n            before:bg-primary dark:before:bg-primary\n            after:bg-gray-300 dark:after:bg-gray-700\">\n  \n\n<h3 class=\"wp-block-heading\">Unterst\u00fctzung bei der ISP-Optimierung und der Bildqualit\u00e4t<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Zuverl\u00e4ssige KI-Ergebnisse beginnen mit konsistenten Bilddaten. FRAMOS unterst\u00fctzt Jetson-basierte Systeme mit optimierten ISP-Konfigurationen, validierter Optik, Fachwissen im Bereich der Fokussierung sowie Unterst\u00fctzung bei der Bildqualit\u00e4t, sodass die Kameraausgabe genau auf die jeweilige Anwendung und die Zielverarbeitungsplattform abgestimmt ist. <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Jetson-ISP-Optimierung f\u00fcr gleichbleibende Bildqualit\u00e4t<\/li>\n\n\n\n<li>Unterst\u00fctzung bei Optik, Fokussierung und Kalibrierung, falls erforderlich<\/li>\n<\/ul>\n\n<\/div>\n\n  <\/div>\n<\/li>\n\n\n<div class=\"framos-seo-content\" style=\"display:none\">NVIDIA Jetson Vision Stack Support<\/div>\n <\/ul>\n\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n\n<div class=\"alignwide wp-block-framos-cta\">\n    <div class=\"mx-auto max-w-6xl py-12 px-4 md:px-6 frontend\">\n        <div class=\"relative isolate overflow-hidden px-6 py-24 text-center shadow-2xl rounded-3xl sm:px-16 bg-framosDarkBlue\">\n                            <h2 class=\"font-framos-light text-3xl lg:text-4xl leading-tight mb-6 text-white mx-auto max-w-2xl\">\n                    Erweitern Sie Ihre Jetson-Plattform um Bildverarbeitungsfunktionen                <\/h2>\n            \n                            <p class=\"text-base leading-7 mb-4 text-gray-100 mx-auto mt-6 max-w-xl\">\n                    FRAMOS unterst\u00fctzt Sie dabei, FSM:GO-Kameramodule, D400e-Tiefenkameras, f\u00fcr Jetson optimierte Treiber, abgestimmte Bildverarbeitungs-Pipelines und Holoscan-f\u00e4hige Arbeitsabl\u00e4ufe zu zuverl\u00e4ssigen eingebetteten KI-Bildverarbeitungssystemen zu verbinden.                <\/p>\n            \n            <div class=\"mt-10 flex flex-col items-center justify-center gap-y-8 sm:flex-row sm:gap-x-6\">\n                <a\n                    href=\"\/contact\/\"\n                                        class=\"btn-round-arrow group visited:text-white\"\n                     data-cta=\"true\" data-cta-id=\"framos_cta.1.primary_button\" data-cta-label=\"mit vision-expert:innen sprechen\" data-cta-location=\"framos_cta@nvidia-jetson\" data-cta-destination=\"\/contact\/\" data-cta-type=\"primary\"                >\n                    <span>Mit Vision-Expert:innen sprechen<\/span>\n                    <div class=\"ml-1 -rotate-45 transition-all duration-200 group-hover:rotate-0\">\n                        <svg\n                            width=\"15\"\n                            height=\"15\"\n                            viewBox=\"0 0 15 15\"\n                            fill=\"none\"\n                            xmlns=\"http:\/\/www.w3.org\/2000\/svg\"\n                            class=\"h-5 w-5\"\n                        >\n                            <path\n                                d=\"M8.14645 3.14645C8.34171 2.95118 8.65829 2.95118 8.85355 3.14645L12.8536 7.14645C13.0488 7.34171 13.0488 7.65829 12.8536 7.85355L8.85355 11.8536C8.65829 12.0488 8.34171 12.0488 8.14645 11.8536C7.95118 11.6583 7.95118 11.3417 8.14645 11.1464L11.2929 8H2.5C2.22386 8 2 7.77614 2 7.5C2 7.22386 2.22386 7 2.5 7H11.2929L8.14645 3.85355C7.95118 3.65829 7.95118 3.34171 8.14645 3.14645Z\"\n                                fill=\"currentColor\"\n                                fill-rule=\"evenodd\"\n                                clip-rule=\"evenodd\"\n                            \/>\n                        <\/svg>\n                    <\/div>\n                <\/a>\n\n                                    <a href=\"https:\/\/github.com\/framosimaging\" class=\"text-sm font-semibold leading-6 text-white hover:text-primary visited:text-white\" data-cta=\"true\" data-cta-id=\"framos_cta.2.secondary_button\" data-cta-label=\"entdecken sie framos auf github\" data-cta-location=\"framos_cta@nvidia-jetson\" data-cta-destination=\"https:\/\/github.com\/framosimaging\" data-cta-type=\"secondary\" target=\"_blank\" rel=\"noopener\">\n                        <span>Entdecken Sie FRAMOS auf GitHub<\/span>\n                        <span aria-hidden=\"true\">\u2192<\/span>\n                    <\/a>\n                \n            <\/div>\n\n            <svg\n                viewBox=\"0 0 1024 1024\"\n                class=\"absolute left-1\/2 top-1\/2 -z-10 h-[64rem] w-[64rem] -translate-x-1\/2 [mask-image:radial-gradient(closest-side,white,transparent)]\"\n                aria-hidden=\"true\"\n            >\n                                <circle cx=\"512\" cy=\"512\" r=\"512\" fill=\"url(#framos-cta-gradient-2)\" fill-opacity=\"0.7\" \/>\n                <defs>\n                    <radialGradient id=\"framos-cta-gradient-2\">\n                        <stop stop-color=\"#00c4d4\" \/>\n                        <stop offset=\"1\" stop-color=\"#0098b0\" \/>\n                    <\/radialGradient>\n                <\/defs>\n            <\/svg>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"featured_media":28035,"parent":25029,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-plt-nvidia.php","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-24899","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/pages\/24899","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/comments?post=24899"}],"version-history":[{"count":3,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/pages\/24899\/revisions"}],"predecessor-version":[{"id":30108,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/pages\/24899\/revisions\/30108"}],"up":[{"embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/pages\/25029"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/media\/28035"}],"wp:attachment":[{"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/media?parent=24899"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}