Station P2

AIO-3568J is a Quad-Core High-Performance AI Mainboard，composed of core board Core-3568J + mother board MB-JM3-RK3568, equipped with interfaces such as RGMII, PCIE3.0, USB3.0, I2C, SPI, UART, GPIO, MIPI-DSI, it can be directly used in various intelligent products to facilitate the completion of products

Based on AIO-3399C high-performance platform and adopts capacitive 10-point touch screen and industrial-grade enclosure, supports 4K hardware acceleration, dual-screen identical display/dual-screen differential display and has rich interfaces.

The embedded computer is equipped with Rockchip quad-core processor RK3568 which is configured with dual-core GPU and high-performance NPU, supporting up to 8G RAM. It supports POE+ power supplying, dual Gigabit Ethernet ports and WiFi 6 wireless transmission. Providing various interfaces, it is suitable for applications such as smart NVR, cloud terminal, IoT gateway and industrial

Supporting iFLYTEK AIUI Open Platform, the kit is capable of wake word activation, noise reduction, echo cancellation, sound localization, man-machine interaction and so on. With features of far-field voice pickup and accurate speech recongnition, it can be used on reobot, industry dev board, intelligent service terminal, business display device, etc.

The AIO-3399ProC is powered by a RK3399Pro high-performance AI processor with built-in neural network unit (NPU), supports multiple AI development tools and interfaces, and has rich expansion interfaces and powerful hardware encoding and decoding abilities, which can be applied to AI industry easily

Uses RK3399 Six-Core ( A72x2+A53x4 ) 64-Bit CPU, up to 2.0Ghz , integrated Quad-Core Mali-T864 GPU. Onboard M.2 PCIe, 4G LTE interface, multiple display interface and serial port. Support Android/Linux/Ubuntu system

Easy to improve productivity - whether it is office, internet or development and design, all are in one.

Face-RK3399 supports multiple face recognition algorithms and various recognition modes. Its rich peripheral interfaces can carry all kinds of peripheral equipment of gate, and meets the application needs of access control, attendance and paying with faces. It also can provide one-stop solution service to help projects land quickly.

Integrated neural network processor NPU with computing power up to 3.0Tops, and compatible with a variety of AI frameworks. Core-3399Pro-JD4 core board can be combined with the backplane to form a complete industrial application board, which enable it to be applied flexibly on a variety of smart products.

Adopts Rockchip quad-core 64-bit processor RK3328, onboard AI neural network acceleration chip, with high computing capacity, ultra-high performance, powerful hardware decoding ability and rich extended interfaces, supports multiple operating system. it can be used as visual-based deep learning operation and AI algorithm acceleration, suitable for cluster serversw, high-performance computing/storage, industrial computers, etc.

As a small-scale high-performance IoT core board, core-3308Y adopts 136 pin stamp hole design and is equipped with Rockchip RK3308 that is dedicated IoT processor. It supports multiple operating systems speech systems and services, as well as has rich expansion interfaces and strong display drive capability.

Equipped with RK3566 processor, the mini computer supports 8G large RAM. M.2 interface enables expansion with large hard drive. various sytems and boot ways are supported - with the dedicated application programs and forums, geek fun is endless.

Adapts Rockchip 64-bit six-core processor, with powerful hardware decoding capabilities and supporting 4K hard solution. Featuring a variety of display output interfaces, it can directly drive multiple resolutions eDP interface LCD screen.

The embedded computer is equipped with Rockchip quad-core processor RK3566 which is configured with dual-core GPU and high-performance NPU, supporting up to 8G RAM. Providing various interfaces, it is suitable for applications such as smart NVR, cloud terminal, IoT gateway and industrial control.