Motherboard By youyeetoo

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• [RK3588S] The CPU is Rockchip's new-gen flagship AIoT SoC with 8nm lithography process. Equipped with 8-core 64-bit CPU, it has frequency up to 2.4GHz. Integrated with ARM Mali-G610 MP4 quad-core GPU and built-in AI accelerator NPU, it provides 6Tops computing power and supports mainstream deep learning frameworks. The powerful RK3588S can deliver more optimized performance in various AI application scenarios.
• [8K Video encoding and decoding] The mainboard supports 8K@60fps H.265/VP9 video decoding and 8K@30fps H.265/H.264 video encoding, and also supports encoding and decoding simultaneously up to 32-channel 1080P@30fps decoding and 16-channel 1080P@30fps encoding can be achieved. The strong video encoding and decoding capability makes 8K HD display and delicate picture quality available.
• [Multi-channel input and output] It supports HDMI 2.1 8K video output, Type-C (DP1.4) and dual MIPI-DSI multi-channel video output up to four-screen output with different displays can be achieved. Dual MIPI-CSI camera input is also supported.
• [Strong Network] On-board 1000Mbps RJ45 Ethernet, 2.4GHz/5GHz dual-band WiFi and Bluetooth 4.2 are supported
• [Support various operating systems] Android 12.0, Ubuntu Desktop version and Server version, Debian11, Buildroot, Kylin and UOS are supported. It supports RTLinux, delivering excellent real-time performance. UEFI Boot is also available.
• [Abundant resources] SDK, tutorials, tech docs and dev tools are provided, making development simpler and more convenient.

• Introducing the GPU, the computing unit is a common scenario for field intelligence
• 4GB of memory with 16G eMMC, Using ARM architecture, ultra-low energy consumption, while significantly reducing costs.
• Rich interface expansion capabilities, support a variety of network connections, multi-channel expansion hardware connectivity, can access up to 2TB of storage devices and 4 cameras and many other external devices.
• A wide range of open source community and industry ecological support, Lenovo is the first company to support AOSPAndroid open source platform 9.0 and 8.1 and fully support Ubuntucore.
• Make the edge solution a complete and ready-to-use turnkey solution that allows software developers to directly develop AI and IoT applications.

• Amlogic S905X3 Quad-Core Cortex-A55 (2.0xGHz) Processor
• Mali-G31 MP2 GPU with 4 x Execution Engines (650Mhz)
• Support 4GB LPDDR4 and 16G eMMC flash
• It have 4 USB 3.0 port,1GbE LAN port
• Click \"youyeetoo store\" to get more product selection.

• Amlogic S905X3 Quad-Core Cortex-A55 (2.0xGHz) Processor
• Mali-G31 MP2 GPU with 4 x Execution Engines (650Mhz)
• Support 4GB LPDDR4 and 16G eMMC flash
• It have 4 USB 3.0 port,1GbE LAN port
• Click \"youyeetoo store\" to get more product selection.

• with Case and heat sinkhow to start https://wiki.friendlyelec.com/wiki/index.php/NanoPi_NEO3
• High Performance CPU It uses Rockchip's 64-bit quad-core SoC RK3328 (ARM Cortex-A53) and has 1GB 32-bit DDR4 RAM
• Unique MAC AddressA unique MAC address ensures that a device with it will not have conflict with other devices' IPs in any network. This MAC address can be used as a device's fingerprint.
• Rich interfaceIt has one Gbps Ethernet with aunique MAC address, one USB 3.0 Type A port, two 2 54mm USB 2.0 pinheaders, one MicroSD card slot and various GPIO pins.
• Widely applicationThese features make it especially suitable for applications that require high data throughput, speedy data transmission and high performance. Hobbyists and makers will just love it.

• Lichee Nano is a mini development board designed based on Allwinner's F1C100s (ARM 926EJS core) high-performance SOC chip. Onboard USB, Flash, TF card and 40P LCD interface, suitable for beginners to learn Linux or commercial product development
• F1C100s chip has built-in 32MB DDR, has SDIO, SPI, UART, Speaker, Mic and other interfaces, and supports external 8~32MB SPI Nor Flash
• In terms of video processing performance, it supports 720P video output and supports the decoding of high-definition formats such as H.264 and MJPEG
• Applications in time attendance and access control, autonomous driving, smart robots, Internet of Things, smart wear and smart home
• Wiki: http(s)://youyeetoo.com/blog/-83. Any questions of this product after you purchased it. How to email us Click \"WayPonDEV\" and ask a question

• Any questions, please contact us We are always ready to listen to you
• Widely application it can be widely used in applications of machine leaming, Al, deep learning, robots, industrial control, industrial cameras, advertisement machines,game machines, blockchain
• Powerful GPU built-in ARM Mali-450 MP2 Quad-Core GPU Support OpenGL ES1.1/2.0, OpenVG1.1 and Support 4K VP9 and 4K 10bits H265 / H264 video decoding, up to 60fps
• High Performance The size of a credit card but contains a strong performance, the main board uses RK3328 Quad-core A53x4 64-bit processor Frequency Up to 1.5GHz
• OS Support Android And Ubuntu Dual System, can be used for software development, office learning, smart embedded, DIY electronics, gaming and so on

• FeatureTang Primer 20K core board uses GW2A-LV18PG256C8I7 as the main chip, which has rich internal resources such as high-performance DSP, high-speed LVDS interface and BSRAM memory.
• The core board is equipped with peripheral components such as DDR3 memory particles and power ICs, so that users can use the core board alone to quickly develop and verify projects for high-speed and low-cost applications.
• The Lite ext-board leads out many I0s through pin headers and PMOD interfaces, and users can easily connect other peripheral modules or circuits for secondary development.
• The Dock ext-board is equipped with a wealth of peripheral resources, such as onboard USB-JTAG & UART circuit, Ethernet PHY and RJ-45 connector, USB2.0 PHY, HDMI output interface, stereo output circuit and 3.5mm headphone connector, RGB Screen connector, DVP camera connector. ASINB0BNVQVHG6
• Minimalist IDEComapred with other FPGA IDE, the lDE which is used to develop Tang Primer 20K is really small, the hard disk capacity occupied after installation does not exceed 1G.
• WIKIwiki.sipeed.com/hardware/en/tang/tang-primer-20k/primer-20k.html

• FeatureTang Primer 20K core board uses GW2A-LV18PG256C8I7 as the main chip, which has rich internal resources such as high-performance DSP, high-speed LVDS interface and BSRAM memory.
• The core board is equipped with peripheral components such as DDR3 memory particles and power ICs, so that users can use the core board alone to quickly develop and verify projects for high-speed and low-cost applications.
• Lite ext-boardThe Lite ext-board leads out many I0s through pin headers and PMOD interfaces, and users can easily connect other peripheral modules or circuits for secondary development.
• Dock ext-boardThe Dock ext-board is equipped with a wealth of peripheral resources, such as onboard USB-JTAG & UART circuit, Ethernet PHY and RJ-45 connector, USB2.0 PHY, HDMI output interface, stereo output circuit and 3.5mm headphone connector, RGB Screen connector, DVP camera connector.
• WIKIwiki.sipeed.com/hardware/en/tang/tang-primer-20k/primer-20k.html

• Tang Primer 25K Dock board is a new generation of modular dock board,equipped with an USB-JTAG debugger, 3 PMOD interfaces, and a 40P pin header interface.
• It integrates Gowin GW5A-LV25MG121,64Mbit SPI FLASH,DC-DC power supply.
• SoM board provides 76 GPIOs,1 hard-core 4lane MIPI D-PHY,and 3 power outputs.
• By providing 5V power to the SOM and configuring correctly, you can easily use the SoM.
• [WIKI] https://wiki.sipeed.com/primer25k

• 6+1 MEMS microphones (MSM261S4030H0): 140 dB SPL Sound pressure level, Sensitivity: -26(dB, dBFS @ 1kHz 1Pa)
• Applications: Sound source orientation,Beamforming,Speech recognition
• Applications: Sound source orientation,Beamforming,S12 RGB LEDs (SK9822): RGB three-color LED output control, 8-bit (256 level) color levels, 5-bit (32 level) brightness adjustmentpeech recognition
• Operating voltage: 3.3V Operating current: >750mA (full brightness) Temperature rise: <30K Operating temperature: -30 ~ 85 Dimensions: 78mm 89mm
• Development Environment: MaixPy IDE?Plat-form-lO IDE?Ar-dui-no lDE

• Any questions, please contact us We are always ready to listen to you
• Widely application it can be widely used in applications of machine leaming, Al, deep learning, robots, industrial control, industrial cameras, advertisement machines,game machines, blockchain
• Powerful GPU built-in ARM Mali-450 MP2 Quad-Core GPU Support OpenGL ES1.1/2.0, OpenVG1.1 and Support 4K VP9 and 4K 10bits H265 / H264 video decoding, up to 60fps
• High Performance The size of a credit card but contains a strong performance, the main board uses RK3328 Quad-core A53x4 64-bit processor Frequency Up to 1.5GHz
• OS Support- Support Android And Ubuntu Dual System, can be used for software development, office learning, smart embedded, DIY electronics, gaming and so on

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