{"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\/pt\/blog\/news\/proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q","title":{"rendered":"O projeto Arduino apresentou o computador de placa \u00fanica VENTUNO Q","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

O projeto Arduino, que foi adquirido pela empresa Qualcomm no ano passado, anunciou o computador de placa \u00fanica VENTUNO Q, que combina em um \u00fanico dispositivo o microcontrolador STM32H5F5 e o microprocessador Qualcomm Dragonwing IQ8 com GPU integrada e acelerador de IA. O principal prop\u00f3sito da placa \u00e9 a cria\u00e7\u00e3o de dispositivos de IA aut\u00f4nomos capazes de realizar tarefas de vis\u00e3o computacional e executar modelos de aprendizado de m\u00e1quina de forma isolada. <\/p>\n

Como exemplos de aplica\u00e7\u00e3o do VENTUNO Q, s\u00e3o mencionadas a cria\u00e7\u00e3o de rob\u00f4s, quiosques inteligentes, analisadores de fluxo de tr\u00e1fego, assistentes para monitoramento de sa\u00fade e sistemas de controle de qualidade nas empresas. Ao conectar um monitor, teclado e mouse, a placa pode ser utilizada como uma esta\u00e7\u00e3o de trabalho para desenvolvedores, suportando a execu\u00e7\u00e3o do Arduino App Lab. O dispositivo \u00e9 compat\u00edvel com placas de extens\u00e3o e complementos j\u00e1 disponibilizados para placas Arduino UNO. A data de lan\u00e7amento e o pre\u00e7o do VENTUNO Q ainda n\u00e3o foram anunciados. <\/p>\n

O microprocessador Qualcomm Dragonwing IQ8 (IQ-8275) inclui um CPU Arm Cortex de 8 n\u00facleos, GPU Arm Cortex A623 (877 MHz), processador de imagem (ISP) Qualcomm Spectra 692 e acelerador de IA (NPU) Hexagon Tensor AI com desempenho declarado de 40 trilh\u00f5es de opera\u00e7\u00f5es por segundo. O sistema \u00e9 equipado com 16 GB de RAM e 64 GB de armazenamento eMMC. Para expandir a mem\u00f3ria permanente, h\u00e1 um conector M.2 para unidades NVME Gen.4. O suporte para executar Ubuntu e Debian foi declarado. <\/p>\n

O microcontrolador STM32H5F5 inclui um n\u00facleo Arm Cortex M33 de 250 MHz, 4 MB de Flash e 1,5 MB de RAM. O suporte para a execu\u00e7\u00e3o do RTOS Zephyr foi garantido, al\u00e9m da compatibilidade total com o sistema operacional ROS 2 (Robot Operating System 2) e a ferramenta Arduino App Lab. Para a conex\u00e3o de dispositivos perif\u00e9ricos, sensores e motores de passo, est\u00e3o dispon\u00edveis interfaces GPIO, PWM e CAN-FD. <\/p>\n

Al\u00e9m disso, a placa \u00e9 equipada com Wi-Fi 6 2.4\/5\/6 GHz, Bluetooth 5.3, Ethernet 2.5 Gbit (RJ45), HDMI para conex\u00e3o de monitor, MIPI DSI para conex\u00e3o de telas sens\u00edveis ao toque e pain\u00e9is interativos, tr\u00eas conectores MIPI CSI para c\u00e2meras, USB-C com suporte para conex\u00e3o de monitor e c\u00e2mera, duas portas USB 3.0 Tipo A, duas USB 3.0 e sa\u00edda de \u00e1udio. Dimens\u00f5es de 160 x 100 x 25,8 mm.

\"O<\/center> <\/p>\n

Sup\u00f5e-se que o microprocessador Qualcomm Dragonwing IQ8 \u00e9 utilizado para executar o sistema operacional de controle e realizar modelos de IA, enquanto o microcontrolador STM32H5F5 \u00e9 respons\u00e1vel pelo controle dos motores e pela rea\u00e7\u00e3o \u00e0s informa\u00e7\u00f5es dos sensores em tempo real. Para interagir com o microcontrolador a partir do Linux, uma biblioteca RPC (Chamada de Procedimento Remoto) est\u00e1 dispon\u00edvel. <\/p>\n

Para NPU, bibliotecas prontas s\u00e3o oferecidas para a execu\u00e7\u00e3o local de modelos de aprendizado de m\u00e1quina, como Qwen para processamento local de solicita\u00e7\u00f5es em linguagem natural, Qwen VLM para reconhecimento de texto, identifica\u00e7\u00e3o de objetos em imagens e descri\u00e7\u00e3o de cenas, Melo TTS e Whisper para reconhecimento de fala e gera\u00e7\u00e3o de transcri\u00e7\u00f5es, MediaPipe para reconhecimento de gestos de controle e rastreamento de movimento das m\u00e3os, YOLO-X para rastreamento do movimento de pessoas, ve\u00edculos e objetos diante da c\u00e2mera, PoseNet para determina\u00e7\u00e3o da pose humana.

\r\n \"Por\r\n
<\/div>\r\n <\/div><\/center>
\n
Fonte: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\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 […]<\/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\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47O projeto Arduino apresentou o computador de placa \u00fanica VENTUNO Q | ProHoster","description":"O projeto Arduino, que foi adquirido pela Qualcomm no ano 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