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    RTL8822CE WiFi Module for YY3568 Dual GbE Low Power Arm Mainboard

    • Material: PCB; chipset: For RTL8822CE Network; standard: 802.11a/b/g/n/ac+2T2R; Frequency: 2.4/5.0GHz Supported; Systems: Windows /Linux/ Android; Packing List: 1 x Wifi Module 1 x Screw 2 x antennas; Quick Start : http(s)://wiki..com/en/YY3568. Feel free to ask a questions by click "" or mail am2#.com(# >>>@)
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    Specifications

    : SoC Rockchip RK3568 quad-core Cortex-A55 processor @ 2.0 GHz with Arm Mali-G52 2EE GPU with support for OpenGL ES 1.1 / 2.0 / 3.2, OpenCL 2.0, Vulkan 1.1, 0.8 TOPS NPU for AI acceleration, 4Kp60 H. 265/H. 264/VP9 video decoding, and 1080p100 H. 265/H. 264 video encoding System Memory 2GB, 4GB LPDDR4 ECC RAM up to 1600 MHz Storage 16GB, 32GB eMMC flash Support custom made 8GB to 128GB 314-pin
    SO-DIMM edge connector with: Storage SATA 3.0 interface, SD card interface Display I/F HDMI 2.0 up to 4Kp60 2x MIPI DSI up to 1080p60 or 2560×1440 @ 60 Hz when combined eDP 1.3 up to 2560×1600 @ 60 Hz Camera I/F 1x MIPI-CSI camera interfaces, USB camera Audio Speaker 4 ohm 2W and earphone output, microphone, HDMI audio output, I2S Networking 2x Gigabit Ethernet USB USB 3.0 x2, USB 2.0 x4 PCIe 1x PCIe 3.0 Low-speed I/Os SPI, UART, I2C, SDIO, PWM, ADC, GPIO Supply Voltage 12~19V DC Power Jack( 5.5 / 2.1 mm) Rockchip RK809-5 PMIC with support for lithium battery, charge detection Dimensions 82.0 x 53.5 mm
    Temperature Range Operating: -10°C
    to 60°C; storage: -20°C to 70°C Storage Humidity 10%80 % We provide Android 11.0 and Debian 10 for the module, and software (RKNN) for Caffe/TensorFlow/TFLite/ONNX/PyTorch/Keras/Darknet AI frameworks and models. The RK3568 system-on-module is expected in smart NVR, cloud terminals, IoT gateways, and industrial control applications. Feel Free to talk to us if you have any questions.
    Support: am2 @.
    com Forum: forum.. com

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    • Return for refund within: 30 days
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