썬칩 RK3588 산업용 안드로이드 임베디드 보드 시스템 USB/LVDS/1000M LAN/WIFI6/BT5.2/EDP

다른 비디오
August 21, 2024
카테고리 연결: 묻힌 시스템 기판
좋은 품질의 산업용 LCD 스크린 SKD 키트 안드로이드 ARM 보드와 함께

7인치, 8인치, 10.1인치, 13.3인치, 15.6인치 등 + 안드로이드 ARM 보드 + 연결 케이블
ARM 보드 옵션: RK3588, RK3568, RK3566 RK3288, RK3399, RKPX30, RK3188, RK3128 등

연락처: 줄리 우
전화: +86 158 8965 8078
Whatsapp: +86 158 8965 8078
스카이프/위차트:
이메일: juli@sunchip-tech.com
Brief: Discover the Sunchip RK3588 Industrial Android Embedded Board System, featuring USB/LVDS/1000M LAN/WIFI6/BT5.2/EDP. This octa-core 8K Android board with 4GB/8GB RAM and 32/64GB EMMC is perfect for industrial, medical, and educational applications.
Related Product Features:
  • Rockchip RK3588 octa-core processor with 2.1GHz large core and 1.7GHz small core for high performance.
  • Supports Android 12 system with enhanced power management and stable performance.
  • Multiple display interfaces including HDMI OUT (8K@60FPS), LVDS, EDP, and MIPI for versatile applications.
  • 6TOPS AI computing power with triple-core architecture for various AI scenarios.
  • Equipped with 4GB/8GB/16GB LPDDR4/LPDDR4x memory and 32G/64G/128G/256G EMMC storage options.
  • Rich connectivity options including Gigabit Ethernet, Wifi6, BT 5.0, and multiple USB ports.
  • Strong anti-electromagnetic interference and compatibility for industrial environments.
  • Supports multiple interactive modes like capacitive touch, infrared touch, and USB keyboard/mouse.
자주 묻는 질문:
  • What operating system does the RK3588 Embedded System Board support?
    The RK3588 Embedded System Board supports Android 12 and above, offering a robust and customizable platform for various applications.
  • What are the display capabilities of the RK3588 board?
    The board supports multiple display interfaces including HDMI OUT (up to 8K@60FPS), LVDS, EDP, and MIPI, enabling three-screen simultaneous or different displays.
  • What AI capabilities does the RK3588 board offer?
    The RK3588 board features 6TOPS AI computing power with a triple-core architecture, supporting int4/int8/int16/FP16/BF16/TF32 for various AI scenarios.