Android 10 RK3399 PCBA Board Βιομηχανική Ελέγχου Ανάπτυξης Μητρική Πίνακα

Υψηλής ποιότητας ενσωματωμένη πλακέτα από την Κίνα.
Shenzhen Sunchip Technology Co., Ltd. κατασκευαστής ποιότητας από την Κίνα.
Μπορούμε να παρέχουμε:
Ενσωματωμένο πίνακα συστήματος, Android κουτί παίχτη, όλα τα είδη της ψηφιακής σήμανσης LCD
Καλώς ήρθατε να επισκεφθείτε την επίσημη ιστοσελίδα μας: http://www.embeddedsystemboard.com
Επικοινωνία: κα. Peki Chen
Η SHENZHEN SUNCHIP TECHNOLOGY CO., LTD.
WeChat: yanzi051624, Skype: peki_99
Ηλεκτρονικό ταχυδρομείο: peki@sunchip-tech.com
Mob/WhatsApp: +86-18617109639
Brief: Discover the high-performance Android 11 PCBA Industrial Development Board Rk3566, designed for industrial control and AIoT applications. Featuring a quad-core RK3566 processor, 4K video decoding, and multiple display interfaces, this motherboard is perfect for medical, advertising, and educational devices.
Related Product Features:
  • Quad-core RK3566 processor with up to 1.8GHz performance for high-end applications.
  • Supports 4K video decoding at 60fps with H.264/H.265 and VP9 formats.
  • Multiple display interfaces including HDMI 2.0, MIPI, LVDS, and EDP.
  • Built-in NPU with 1TOPS computing power for AI and machine learning tasks.
  • Rich connectivity options with USB ports, serial ports, and 10/100M Ethernet.
  • Supports Android 11 OS with open root access for customization.
  • High resistance to electromagnetic interference for stable performance.
  • Compact size (150*85mm) with flexible storage options (16G/32G/64G EMMC).
Συχνές ερωτήσεις:
  • What operating system does the RK3566 Industrial Control Motherboard support?
    The motherboard supports Android 11 and above, with open root access for customization.
  • What are the display interface options available on this board?
    The board supports HDMI 2.0 (4K), MIPI, LVDS, and EDP interfaces for versatile display connectivity.
  • Can the RK3566 motherboard be used for AI applications?
    Yes, the built-in NPU provides 1TOPS computing power, supporting AI frameworks like TensorFlow, PyTorch, and Caffe.