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Hongzhou Smart - 15+ Years Leading OEM & ODM

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UH-3568 Standard Android HMI Motherboard 1
UH-3568 Standard Android HMI Motherboard 2
UH-3568 Standard Android HMI Motherboard 3
UH-3568 Standard Android HMI Motherboard 1
UH-3568 Standard Android HMI Motherboard 2
UH-3568 Standard Android HMI Motherboard 3

UH-3568 Standard Android HMI Motherboard

RK3568, Quad Core, Cortex A55, up to 2.0GHz, supports up to 8GB Ram and max. 128GB Rom optional. With Mali G52 2EE GPU and built-in 1Top Computing power NPU.

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    Specification List

    Model No.

    UH-3568

    Category

    Android Mother Board

    Chipset

    Rockchip

    CPU/Processor

    RK 3568 Quad Core, Cortex A55, up to 2.0GHz

    GPU

    Mali G52 2EE

    NPU

    Built-in 1Top Computing power

    OS

    Recommend: Andriod 11
    Others: Linux Buildroot/Debian 10/Ubuntu-20. 04/OpenHarmony 3.2 optional

    Resolution

    4Kx2K@60fps decoding, H.264, H.265, VP9, 8M ISP, HDR

    RAM

    Standard 2GB_LPDDR4,  Max. 8GB optional

    ROM

    Standard 16GB_EMMC, Max. 128GB optional

    Storage Extension

    1* Micro SD slot: Max. 256GB supported,
    1* Standard SATA 3.0 HDD port

    USB Ports

    1* USB 3.0,

    1* USB 3.0 OTG

    5* USB pin headers (one is CPU raw USB)

    Serial Port

    4* TTL/RS-232 compatible

    1* TTL/RS-485 compatible

    Display Interface

    LVDS, MIPI, EDP, HDMI, RGB/T-CON, supports multi displays

    Ethernet

    RJ45 connector with 4-Pin POE header

    Other I/O ports

    HDMI in, HP, MIC, Amp., GPIO Signals, Line out, DC-12V and so on

    WiFi

    Dual band WiFi 2.4G/5GHz, supports IEEE 802.11 b/g/n/ax

    Bluetooth

    BT V2.1+EDR/BT v3.0/BT v3.0+HS/BT v4.0/BT v5.2 built-in

    Camera

    Support USB camera within 8 million pixels

    Dimension

    100mm*90mm*9mm (L*W*H)

    Working Environment

    T: -20°C ~ 70°C,
    Humidity: 0%~95% (non-condensing)

     

    UH-3568 Standard Android HMI Motherboard 4

    UH-3568 adopts Rockchip RK3568, quad-core Cortex-A55 architecture processor , clock up to 2.0GHz. It has a built-in neural network NPU and supports 1Tops computing power, RAM up to 8GB. Compact design that can be easily used. Applied to face detection and recognition, commercial robots, edge computing and other scenarios.

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