{"id":15811,"date":"2025-07-23T21:10:37","date_gmt":"2025-07-23T21:10:37","guid":{"rendered":"https:\/\/framos.com\/articles\/empowering-the-intelligent-edge-innovations-in-embedded-vision-from-sensor-to-inference\/"},"modified":"2026-07-20T13:45:10","modified_gmt":"2026-07-20T13:45:10","slug":"empowering-the-intelligent-edge-innovations-in-embedded-vision-from-sensor-to-inference","status":"publish","type":"articles","link":"https:\/\/framos.com\/de\/fachartikel\/empowering-the-intelligent-edge-innovations-in-embedded-vision-from-sensor-to-inference\/","title":{"rendered":"Der intelligente Rand: Innovationen in der eingebetteten Vision vom Sensor bis zur Inferenz"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">As machines take on more responsibility in industrial, automotive, and smart environments, they need more than just sensors &#8211; <strong>they need to see, understand, and respond in real-time<\/strong>. Embedded vision is fast becoming the foundation of this shift, enabling intelligent systems to make fast, reliable decisions right at the edge.<\/p>\n\n<ul class=\"wp-block-list\">\n<li>Unter <strong><a href=\"https:\/\/framos.com\/de\/events\/imaging-next-2025\/\">ImagingNext 2025<\/a><\/strong>wird <strong>Ali Osman Ors<\/strong> erkunden, wie die <strong>neuesten Innovationen<\/strong> in den Bereichen eingebettete Bildverarbeitung, Bildsignalverarbeitung (ISP) und ger\u00e4teinterne KI eine neue Generation intelligenter Systeme erm\u00f6glichen. Von der Fabrikautomatisierung bis hin zu intelligenten Fahrzeugen &#8211; diese Keynote wird aufzeigen, wie integrierte Bildverarbeitung und KI die M\u00f6glichkeiten im Grenzbereich ver\u00e4ndern. <\/li>\n<\/ul>\n\n<h3 class=\"wp-block-heading\">Kl\u00fcgere Vision, kl\u00fcgere Systeme: Von Pixeln zu Entscheidungen<\/h3>\n\n<p class=\"wp-block-paragraph\">Ali will take attendees inside the imaging pipeline &#8211; <strong>from camera sensor through ISP to inference <\/strong>&#8211; and show how modern embedded processors are delivering high performance with low power consumption. He\u2019ll highlight how <strong>advances in ISP<\/strong> ensure clean, high-quality images even in difficult conditions, and how the integration of AI directly into vision workflows enables real-time detection, classification, and automated decisions.<\/p>\n\n<p class=\"wp-block-paragraph\">Through real-world examples, you\u2019ll see how these technologies are already being deployed &#8211; solving problems on production lines, in industrial monitoring, and within next-generation user experiences.<\/p>\n\n<h3 class=\"wp-block-heading\">\u00dcber den Redner: Ali Osman Ors<\/h3>\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"600\" src=\"https:\/\/framos.com\/wp-content\/uploads\/2025\/05\/aliOsman.jpg\" alt=\"\" class=\"wp-image-15539 size-full\" srcset=\"https:\/\/framos.com\/wp-content\/uploads\/2025\/05\/aliOsman.jpg 600w, https:\/\/framos.com\/wp-content\/uploads\/2025\/05\/aliOsman-300x300.jpg 300w, https:\/\/framos.com\/wp-content\/uploads\/2025\/05\/aliOsman-150x150.jpg 150w, https:\/\/framos.com\/wp-content\/uploads\/2025\/05\/aliOsman-64x64.jpg 64w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"wp-block-paragraph\"><em><strong>Ali Osman Ors<\/strong> ist eine technologische und gesch\u00e4ftliche F\u00fchrungspers\u00f6nlichkeit mit mehr als 25 Jahren Erfahrung in den Bereichen Prozessorkern-IP, Software, Halbleiterhardware und Produktentwicklung f\u00fcr k\u00fcnstliche Intelligenz. Er ist darauf spezialisiert, funktions\u00fcbergreifende Teams zu leiten, um innovative Produkte und Plattformen in den Bereichen KI und Bildverarbeitung zu entwickeln.   <\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Derzeit leitet er die globale KI- und Vision-Strategie und Technologien f\u00fcr <strong><a href=\"https:\/\/framos.com\/de\/partner\/nxp-semiconductors\/\">NXP <\/a><\/strong>in den Marktsegmenten Automobil, IoT und Industrie. Bevor er zu NXP kam, war Ali VP of Engineering bei der CogniVue Corporation, wo er Vision-SoC-L\u00f6sungen und Cognition-Prozessor-IP-Cores entwickelte. <\/em><\/p>\n<\/div><\/div>\n\n<p class=\"wp-block-paragraph\">At ImagingNext, Ali brings a strategic perspective grounded in deep technical expertise &#8211; making his session a must-attend for anyone shaping the future of intelligent, vision-enabled systems at the edge.<\/p>\n\n<h3 class=\"wp-block-heading\">Warum Sie diese Sitzung nicht verpassen sollten<\/h3>\n\n<p class=\"wp-block-paragraph\">Wenn Sie an der Schnittstelle von KI, Bildgebung oder Edge Computing arbeiten, erhalten Sie in dieser Sitzung wichtige Einblicke in:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>Wie <strong>eingebettete Bildverarbeitungsprozessoren<\/strong> f\u00fcr Spitzenleistung und Effizienz optimiert werden,<\/li>\n\n\n\n<li>Was moderne ISP-Pipelines tun, um <strong>die Bildqualit\u00e4t<\/strong> in schwierigen Umgebungen <strong>zu verbessern<\/strong>,<\/li>\n\n\n\n<li>Wie KI direkt in bildgebende Arbeitsabl\u00e4ufe integriert wird, um <strong>eine intelligentere Automatisierung zu erm\u00f6glichen<\/strong>,<\/li>\n\n\n\n<li><strong>Anwendungen aus der realen Welt<\/strong>, die die Auswirkungen dieser Technologien in der Praxis zeigen.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong>Don\u2019t miss your chance to see how vision becomes the enabler of real-time applications &#8211; register now:<\/strong> <a href=\"https:\/\/framos.com\/events\/imaging-next-2025\/\">https:\/\/framos.com\/events\/imaging-next-2025\/ <\/a><\/p>\n<div class=\"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                    Was ist ImagingNext?                <\/h2>\n            \n                            <p class=\"text-base leading-7 mb-4 text-gray-100 mx-auto mt-6 max-w-xl\">\n                    Die j\u00e4hrliche Innovationsveranstaltung von FRAMOS widmet sich der <strong>Zukunft der Bildgebung und des maschinellen Sehens<\/strong>. Sie bringt Branchenf\u00fchrer, Forscher und L\u00f6sungsanbieter zusammen, um neueste Trends, reale Anwendungen und aufkommende Technologien in verschiedenen Sektoren zu erkunden.   <br>Nehmen Sie an der neuen Flaggschiffveranstaltung f\u00fcr Embedded Vision teil, die sich auf KI-gesteuerte Bildgebung und intelligente Technologien konzentriert.                <\/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 href=\"https:\/\/www.eventbrite.ca\/e\/imagingnext-2025-tickets-1376265590429?aff=oddtdtcreator\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"btn-round-arrow group visited:text-white\" data-cta=\"true\" data-cta-id=\"framos_cta.1.primary_button\" data-cta-label=\"holen sie sich ihr ticket\" data-cta-location=\"framos_cta@empowering-the-intelligent-edge-innovations-in-embedded-vision-from-sensor-to-inference\" data-cta-destination=\"https:\/\/www.eventbrite.ca\/e\/imagingnext-2025-tickets-1376265590429?aff=oddtdtcreator\" data-cta-type=\"primary\">\n                    <span>Holen Sie sich Ihr Ticket<\/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                \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-1)\" fill-opacity=\"0.7\" \/>\n                <defs>\n                    <radialGradient id=\"framos-cta-gradient-1\">\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","protected":false},"excerpt":{"rendered":"<p>As machines take on more responsibility in industrial, automotive, and smart environments, they need more than just sensors &#8211; they need to see, understand, and respond in real-time. Embedded vision [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":15812,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false},"article-category":[],"article-tag":[],"class_list":["post-15811","articles","type-articles","status-publish","format-standard","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/articles\/15811","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/articles"}],"about":[{"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/types\/articles"}],"author":[{"embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/comments?post=15811"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/media\/15812"}],"wp:attachment":[{"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/media?parent=15811"}],"wp:term":[{"taxonomy":"article-category","embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/article-category?post=15811"},{"taxonomy":"article-tag","embeddable":true,"href":"https:\/\/framos.com\/de\/wp-json\/wp\/v2\/article-tag?post=15811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}