{"id":115858,"date":"2026-09-15T07:30:00","date_gmt":"2026-09-15T05:30:00","guid":{"rendered":"https:\/\/www.reichelt.com\/magazin\/?p=115858"},"modified":"2026-09-25T13:40:28","modified_gmt":"2026-09-25T11:40:28","slug":"arduino-ventuno-q-edge-ai-platform-voor-robotica-en-realtime-besturing","status":"publish","type":"post","link":"https:\/\/www.reichelt.com\/magazin\/nl\/nieuws\/arduino-ventuno-q-edge-ai-platform-voor-robotica-en-realtime-besturing\/","title":{"rendered":"Arduino VENTUNO Q: Edge-AI-platform voor robotica en realtime besturing"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><span data-view=\"article\" data-artid=\"432934\" data-lang=\"de\"><\/span>Met de <strong><a href=\"https:\/\/www.reichelt.com\/nl\/nl\/shop\/product\/arduino_ventuno_q_40_tops_16_gb_ddr5_64_gb_emmc-432934\" target=\"_blank\" rel=\"noreferrer noopener\">VENTUNO\u2122 Q<\/a><\/strong> heeft <strong><a href=\"https:\/\/www.reichelt.com\/nl\/nl\/shop\/fabrikant\/ARDUINO\" target=\"_blank\" rel=\"noreferrer noopener\">Arduino\u00ae<\/a><\/strong> een platform voor edge-AI, robotica en actuatoren op de markt gebracht. Deze single-board-computer combineert AI-versnelling met deterministische besturing en is bedoeld voor toepassingen die gegevens niet alleen verwerken, maar er ook onmiddellijk op reageren.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De kern bestaat uit een duale architectuur. Een Qualcomm Dragonwing\u2122 IQ8 Series-processor verwerkt AI-workloads en levert tot 40 TOPS via een ge\u00efntegreerde NPU. Daarnaast stuurt een STM32H5-microcontroller tijdkritische processen aan, zoals motorregeling en actuatie. Hierdoor worden AI-inferentie en fysieke besturing op \u00e9\u00e9n platform samengebracht.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Het board beschikt over 16 GB RAM en 64 GB uitbreidbare opslag. De hoofdprocessor draait Linux-distributies zoals Ubuntu of Debian, terwijl de microcontroller werkt met Arduino Core op Zephyr OS. Deze combinatie verbindt embedded ontwikkeling met Linux-gebaseerde AI-workflows.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Introducing Arduino VENTUNO Q\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/SzT6vDtz6rU?start=38&#038;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 id=\"h-van-ai-analyse-naar-directe-actie\" class=\"wp-block-heading\">Van AI-analyse naar directe actie<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Een belangrijk doel van de VENTUNO Q is het integreren van perceptie, besluitvorming en uitvoering. E\u00e9n board neemt alle stappen over, wat de systeemcomplexiteit vermindert en de ontwikkeling vereenvoudigt.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De Arduino\u00ae App Lab-omgeving bundelt verschillende ontwikkelmethoden. Arduino-schetsen, Python-scripts en AI-workflows kunnen worden gecombineerd. Daarnaast zijn vooraf getrainde modellen beschikbaar, waaronder lokale LLM\u2019s, VLM\u2019s, spraakverwerking (ASR, TTS), gebarenherkenning en objecttracking, die direct op het apparaat kunnen worden uitgevoerd.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Dankzij de integratie van Edge Impulse Studio kunnen ook eigen modellen worden ontwikkeld en ingezet.<\/p>\n\n\n\n<h3 id=\"h-uitgebreide-connectiviteit-voor-robotica-en-edge-systemen\" class=\"wp-block-heading\">Uitgebreide connectiviteit voor robotica en edge-systemen<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Het board ondersteunt WiFi 6, Bluetooth\u00ae 5.3 en industri\u00eble interfaces zoals CAN-FD, PWM en high-speed GPIO. Daarnaast zijn er aansluitingen voor meerdere MIPI-CSI-camera\u2019s, audio, displays en 2,5 Gb Ethernet.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Het systeem is compatibel met <a href=\"https:\/\/www.reichelt.com\/nl\/nl\/shop\/fabrikant\/ARDUINO\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Arduino\u00ae<\/strong><\/a> UNO\u2122 shields, <strong><a href=\"https:\/\/www.reichelt.com\/nl\/nl\/arduino-modulino\">Modulino\u2122-nodes<\/a><\/strong>, Qwiic-sensoren en Raspberry Pi HATs.<\/p>\n\n\n\n<h2 id=\"h-focus-op-lokale-verwerking-en-autonome-systemen\" class=\"wp-block-heading\">Focus op lokale verwerking en autonome systemen<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\" id=\"h-fokus-auf-lokale-verarbeitung-und-autonome-systeme\">Door de combinatie van NPU-versnelde AI en een microcontroller kunnen systemen data lokaal verwerken en direct reageren. Toepassingen zijn onder meer spraakinterfaces zonder cloud, visuele inspectiesystemen en autonome robotica met realtime feedback.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ook voor onderwijs en onderzoek biedt het platform mogelijkheden op het gebied van computer vision, edge AI en generatieve modellen.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Met de <strong><a href=\"https:\/\/www.reichelt.com\/nl\/nl\/shop\/product\/arduino_ventuno_q_40_tops_16_gb_ddr5_64_gb_emmc-432934\" target=\"_blank\" rel=\"noreferrer noopener\">VENTUNO\u2122 Q<\/a><\/strong> heeft Arduino\u00ae een platform op de markt gebracht dat de ontwikkeling en implementatie van edge-AI-toepassingen nauwer met elkaar verbindt.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Afbeeldingen: Arduino<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Met de VENTUNO\u2122 Q heeft Arduino\u00ae een platform voor edge-AI, robotica en actuatoren op de markt gebracht. Deze single-board-computer combineert AI-versnelling met deterministische besturing en is bedoeld voor toepassingen die gegevens niet alleen verwerken, maar er ook onmiddellijk op reageren. De kern bestaat uit een duale architectuur. Een Qualcomm Dragonwing\u2122 IQ8 Series-processor verwerkt AI-workloads en [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":115857,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6050],"tags":[12459,6742,5701],"class_list":["post-115858","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nieuws","tag-arduino-ventuno-q","tag-edge-ai","tag-robotica"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.7 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Arduino VENTUNO Q: edge AI-platform<\/title>\n<meta name=\"description\" content=\"Arduino VENTUNO Q combineert AI-versnelling en realtime besturing op \u00e9\u00e9n board voor edge AI, robotica en industri\u00eble toepassingen.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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