{"id":163614,"date":"2026-03-09T17:12:00","date_gmt":"2026-03-09T15:12:01","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q"},"modified":"2026-03-09T17:12:00","modified_gmt":"2026-03-09T15:12:01","slug":"proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q","title":{"rendered":"Az Arduino projekt bemutatta az VENTUNO Q egylapos sz\u00e1m\u00edt\u00f3g\u00e9pet.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Az Arduino projekt, amelyet tavaly elnyelt a Qualcomm c\u00e9g, bejelentette a VENTUNO Q egylapos sz\u00e1m\u00edt\u00f3g\u00e9p\u00e9t, amely egyes\u00edti egy STM32H5F5 mikrokontrollert \u00e9s egy Qualcomm Dragonwing IQ8 mikroprocesszort be\u00e9p\u00edtett GPU-val \u00e9s AI-gyors\u00edt\u00f3val. A lap f\u0151 c\u00e9lja auton\u00f3m AI-eszk\u00f6z\u00f6k l\u00e9trehoz\u00e1sa, amelyek k\u00e9pesek sz\u00e1m\u00edt\u00f3g\u00e9pes l\u00e1t\u00e1s feladatok megold\u00e1s\u00e1ra \u00e9s a g\u00e9pi tanul\u00e1si modellek \u00f6n\u00e1ll\u00f3 v\u00e9grehajt\u00e1s\u00e1ra.     <\/p>\n<p>A VENTUNO Q alkalmaz\u00e1si p\u00e9ld\u00e1i k\u00f6z\u00f6tt szerepel robotok, intelligens kioszkok, forgalomelemz\u0151k, eg\u00e9szs\u00e9g\u00fcgyi nyomoz\u00f3k \u00e9s min\u0151s\u00e9gellen\u0151rz\u0151 rendszerek l\u00e9trehoz\u00e1sa ipari k\u00f6rnyezetben. Monitor, billenty\u0171zet \u00e9s eg\u00e9r csatlakoztat\u00e1s\u00e1val a lap fejleszt\u0151i munkakintt\u00e1rr\u00e1 alak\u00edthat\u00f3, amely t\u00e1mogatja az Arduino App Lab futtat\u00e1s\u00e1t. Az eszk\u00f6z kompatibilis az Arduino UNO b\u0151v\u00edt\u0151lapokkal \u00e9s kieg\u00e9sz\u00edt\u0151kkel, amelyeket m\u00e1r kor\u00e1bban gy\u00e1rtottak. A VENTUNO Q \u00e9rt\u00e9kes\u00edt\u00e9s\u00e9nek id\u0151pontja \u00e9s \u00e1ra egyel\u0151re nem ismert.      <\/p>\n<p>A Qualcomm Dragonwing IQ8 mikroprocesszor (IQ-8275) 8-magos Arm Cortex CPU-t, Arm Cortex A623 GPU-t (877 MHz), Qualcomm Spectra 692 k\u00e9pfeldolgoz\u00f3 processzort (ISP) \u00e9s Hexagon Tensor AI NPU-t AI-gyors\u00edt\u00f3 teljes\u00edtm\u00e9nnyel, amely 40 trilli\u00f3 m\u0171velet\/m\u00e1sodperc. A rendszer 16 GB RAM-mal \u00e9s 64 GB eMMC t\u00e1rol\u00f3val van felszerelve. A t\u00e1rol\u00f3 b\u0151v\u00edt\u00e9s\u00e9hez M.2 csatlakoz\u00f3 \u00e1ll rendelkez\u00e9sre NVME Gen.4 meghajt\u00f3khoz. Bejelentett\u00e9k az Ubuntu \u00e9s Debian ind\u00edt\u00e1s\u00e1nak t\u00e1mogat\u00e1s\u00e1t.      <\/p>\n<p>Az STM32H5F5 mikrokontroller 250 MHz-es Arm Cortex M33 magot, 4 MB Flash-t \u00e9s 1,5 MB RAM-ot tartalmaz. T\u00e1mogatja a Zephyr RTOS ind\u00edt\u00e1s\u00e1t, teljes kompatibilit\u00e1st biztos\u00edt a ROS 2 (Robot Operating System 2) oper\u00e1ci\u00f3s rendszerrel \u00e9s az Arduino App Lab eszk\u00f6zt\u00e1rral. Perif\u00e9ri\u00e1k, \u00e9rz\u00e9kel\u0151k \u00e9s l\u00e9ptet\u0151motorok csatlakoztat\u00e1s\u00e1hoz GPIO, PWM \u00e9s CAN-FD interf\u00e9szek \u00e1llnak rendelkez\u00e9sre.     <\/p>\n<p>Ezen k\u00edv\u00fcl a lap Wi-Fi 6 2.4\/5\/6 GHz, Bluetooth 5.3, 2.5 Gbit Ethernet (RJ45), HDMI monitor csatlakoztat\u00e1s\u00e1hoz, MIPI DSI \u00e9rint\u0151k\u00e9perny\u0151k \u00e9s interakt\u00edv panelek sz\u00e1m\u00e1ra, h\u00e1rom MIPI CSI csatlakoz\u00f3 kamer\u00e1khoz, USB-C monitor \u00e9s kamera csatlakoztat\u00e1s\u00e1hoz, k\u00e9t USB 3.0 Type A, k\u00e9t USB 3.0, valamint audi\u00f3 kimenet. M\u00e9rete 160 x 100 x 25,8 mm.      <center><img decoding=\"async\" alt=\"Az Arduino projekt bemutatta az VENTUNO Q egylapos sz\u00e1m\u00edt\u00f3g\u00e9pet.\" src=\"\/wp-content\/uploads\/2026\/03\/595ff3db67ecafea171d6d7a71fb9a80.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>          <\/p>\n<p>Felt\u00e9telezhet\u0151, hogy a Qualcomm Dragonwing IQ8 mikroszuperprocesszora vez\u00e9rl\u0151 oper\u00e1ci\u00f3s rendszer ind\u00edt\u00e1s\u00e1ra \u00e9s AI-modellek v\u00e9grehajt\u00e1s\u00e1ra szolg\u00e1l, m\u00edg az STM32H5F5 mikrokontroller felel a motorok ir\u00e1ny\u00edt\u00e1s\u00e1\u00e9rt \u00e9s az id\u0151beli \u00e9rz\u00e9kel\u0151inform\u00e1ci\u00f3kra val\u00f3 reag\u00e1l\u00e1s\u00e9rt. A mikrokontrollerrel val\u00f3 interakci\u00f3hoz Linuxb\u00f3l k\u00e9sz RPC-k\u00f6nyvt\u00e1r (Remote Procedure Call) \u00e1ll rendelkez\u00e9sre.         <\/p>\n<p>Az NPU sz\u00e1m\u00e1ra k\u00e9sz k\u00f6nyvt\u00e1rak \u00e1llnak rendelkez\u00e9sre a g\u00e9pi tanul\u00e1si modellek helyi v\u00e9grehajt\u00e1s\u00e1hoz, mint p\u00e9ld\u00e1ul a Qwen az emberi nyelv term\u00e9szetes feldolgoz\u00e1s\u00e1nak helyi kezel\u00e9s\u00e9re, a Qwen VLM a sz\u00f6vegfelismer\u00e9shez, a k\u00e9pek objektumainak meghat\u00e1roz\u00e1s\u00e1hoz \u00e9s a jelenetek le\u00edr\u00e1s\u00e1hoz, a Melo TTS \u00e9s a Whisper a besz\u00e9dfelismer\u00e9shez \u00e9s a transzkripci\u00f3k l\u00e9trehoz\u00e1s\u00e1hoz, a MediaPipe a vez\u00e9rl\u0151 gesztusok felismer\u00e9s\u00e9hez \u00e9s a kezmozg\u00e1sok k\u00f6vet\u00e9s\u00e9hez, a YOLO-X az emberek, j\u00e1rm\u0171vek \u00e9s objektumok kamer\u00e1n el\u0151tti k\u00f6vet\u00e9s\u00e9hez, valamint a PoseNet az emberi p\u00f3z meghat\u00e1roz\u00e1s\u00e1hoz.          <center>  <div class=\"youtube-placeholder\" data-id=\"SzT6vDtz6rU\" onclick=\"loadVideo(this)\">\r\n        <img decoding=\"async\" src=\"https:\/\/img.youtube.com\/vi\/SzT6vDtz6rU\/hqdefault.jpg\" alt=\"Vide\u00f3 lej\u00e1tsz\u00e1sa\" loading=\"lazy\" width=\"480\" height=\"360\" style=\"width:100%;height:auto;\">\r\n        <div class=\"play-button\"><\/div>\r\n    <\/div><\/center><br \/>\n<br \/>Forr\u00e1s: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=64951\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u043e\u0435\u043a\u0442 Arduino, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0433\u043e\u0434\u0443 \u043f\u043e\u0433\u043b\u043e\u0442\u0438\u043b\u0430 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Qualcomm, \u0430\u043d\u043e\u043d\u0441\u0438\u0440\u043e\u0432\u0430\u043b \u043e\u0434\u043d\u043e\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 VENTUNO Q, \u0441\u043e\u0432\u043c\u0435\u0449\u0430\u044e\u0449\u0438\u0439 \u0432 \u043e\u0434\u043d\u043e\u043c \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0435 \u043c\u0438\u043a\u0440\u043e\u043a\u043e\u043d\u0442\u0440\u043e\u043b\u043b\u0435\u0440 STM32H5F5 \u0438 \u043c\u0438\u043a\u0440\u043e\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 Qualcomm Dragonwing IQ8 \u0441\u043e \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u043c\u0438 GPU \u0438 AI-\u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0435\u043c. \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u043c \u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435\u043c \u043f\u043b\u0430\u0442\u044b \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0430\u0432\u0442\u043e\u043d\u043e\u043c\u043d\u044b\u0445 AI-\u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b\u0445 \u0440\u0435\u0448\u0430\u0442\u044c \u0437\u0430\u0434\u0430\u0447\u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f \u0438 \u043e\u0431\u043e\u0441\u043e\u0431\u043b\u0435\u043d\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u043c\u043e\u0434\u0435\u043b\u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f. \u0412 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f VENTUNO Q \u0443\u043f\u043e\u043c\u0438\u043d\u0430\u0435\u0442\u0441\u044f [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":163615,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-163614","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u0440\u043e\u0435\u043a\u0442 Arduino, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0433\u043e\u0434\u0443 \u043f\u043e\u0433\u043b\u043e\u0442\u0438\u043b\u0430 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Qualcomm, \u0430\u043d\u043e\u043d\u0441\u0438\u0440\u043e\u0432\u0430\u043b \u043e\u0434\u043d\u043e\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 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\/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2026-03-09T15:12:01+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2026-03-09T15:12:01+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd47Az Arduino projekt bemutatta a VENTUNO Q egylapos sz\u00e1m\u00edt\u00f3g\u00e9pet | ProHoster","description":"Az Arduino projekt, amelyet tavaly elnyelt a Qualcomm, bejelentette a VENTUNO Q egylapos sz\u00e1m\u00edt\u00f3g\u00e9pet, amely egyes\u00edti egy k\u00e9sz\u00fcl\u00e9kben az STM32H5F5 mikrokontrollert \u00e9s a Qualcomm Dragonwing IQ8 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\u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0433\u043e\u0434\u0443 \u043f\u043e\u0433\u043b\u043e\u0442\u0438\u043b\u0430 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Qualcomm, \u0430\u043d\u043e\u043d\u0441\u0438\u0440\u043e\u0432\u0430\u043b \u043e\u0434\u043d\u043e\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 VENTUNO Q, \u0441\u043e\u0432\u043c\u0435\u0449\u0430\u044e\u0449\u0438\u0439 \u0432 \u043e\u0434\u043d\u043e\u043c \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0435 \u043c\u0438\u043a\u0440\u043e\u043a\u043e\u043d\u0442\u0440\u043e\u043b\u043b\u0435\u0440 STM32H5F5 \u0438 \u043c\u0438\u043a\u0440\u043e\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 Qualcomm Dragonwing IQ8 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