Electronics From STATIONPC on Amazon

【EmuELEC Retro Emulation OS】 Born for emulator game players, it integrates various classic home console and arcade emulators. You can play classic games on the network, to evoke the pure joy of old times as soon as you turn it on.

【Android 11 Mobile OS】 Supporting Android 11 operating system, P2 can be turned into a large-screen mobile phone with remote control, compatible with abundant applications on Android - you can play while lying on the sofa, and no longer keep your head bowed!

【OpenWRT Smart Router】 This small PC can be a smart router, and be smarter through OpenWRT. It supports various plug-ins to achieve ad blocking, online game acceleration, NAS, etc. A brand new world is waiting for you to discover!

【Equipped with Station OS(Firefly Geek System)】 Combined with Desktop mode and Media mode, you can switch the mode easily to study/work/entertain.A variety of ports for more devices,HDMI 2.0 port(up to 4K@60Hz), Type-C port (DP 1.2 + USB 3.0), USB 2.0 port, USB 3.0 port, LAN port(up to 1000 MB) and so on.

【Easy to install different systems】 Android, Ubuntu, Phoenix OS and other different systems can be effortlessly installed.Many ways to boot up TF card, EMMC, SSD, thumb drive can be used, making bootup more convenient.

【Abundant resources and tools】 Wiki tutorials, SDK, tech docs and dev tools are provided, letting you get started quickly and DIY creatively.Certified by professional organizations.Issued with professional certifications — CE and FCC, it is safe and reliable.

【Multi-function】Station M2 can be used as a classic retro-gaming box, a soft router. In addition,we provide free code for everyone to open source, to explore and create unlimited possibilities. also can provided with official Wiki tutorials

【Abundant Interfaces】 Station M2 is designed with HDMI 2.0×1, USB 3.0×1, USB 2.0×1, GbE port x1, Audio port x1, which fully meets the player’s needs for matching peripherals and expansion for more play.

【Station OS-Entertainment·Geek OS】 Resorting to Media Center, remote download and remote control functions, endless entertainment awaken every interesting soul.Download Station Links on mobile phone to control your device.Download whatever you want anywhere anytime.

【8GB large RAM, all-data-link ECC】 ROC-RK3566-PC supports up to 8GB RAM with up to 32Bit width, and supports all-data-link ECC, making data safer and more reliable, and meeting the requirements of running large-memory products application.

【Integrated co-processors】 ROC-RK3566-PC motherboard is integrated with dual-core GPU, high-performance VPU and high-efficiency NPU. The GPU supports OpenGL ES3.2/2.0/1.1, Vulkan1.1. The VPU can achieve 4K 60fps H.265/H.264/VP9 video decoding and 1080P 60fps H.265/ H.264 video encoding. The NPU supports one-click switching of mainstream frameworks like Caffe/TensorFlow.

【Various systems and boot ways supported】 Open source board supports to upgrade to Android, Ubuntu, Buildroot + QT, Station OS and other systems, and supports to boot the system via TF card, U disk, EMMC, etc. Diverse supporting systems make entertainment, work, programming learning, creative development all easy.

【Expansion Board Combination】 Expansion board onboard balanced charging circuit can charge the battery, and it can also be powered by POE+. The equipped M.2 M-Key and M.2 E-Key interface can be separately used to expand SSD and provide SDIO 3.0 and USB 2.0 signals. ROC-RK3399-PC Plus is combined with the expansion board, which can greatly improve its performance.

【Multiple Operating Systems】 Supports xserver, wayland display framework and multiple operating systems such as Android, Ubuntu, Debian9 and Linux+QT. It has onboard SPI flash and supports boot with TF card, EMMC, SSD and USB flash disk, making it more convenient to start the system.

【Multiple Power Supply Modes】 The main board can be powered by DC 12V, POE+ (802.3 AT, output power: 30W) via the expansion board or dual-cell battery. With multiple power supply modes, it can cater to the demands of users in different scenarios, making it more flexible and convenient to use.

【NPU With Ultra-strong AI Performance】 CPU internally integrates AI neural network unit NPU and supports 8bit/16bit operation with its computing performance up to 3.0TOPS. Compared with using the traditional GPU as the large chip scheme of AI computing unit, the power consumption of NPU is merely 1% of that of GPU. Therefore, NPU has an extremely high computing-power performance ratio.

【With Rich AI Capability】 Firefly EC-A3399ProC provides Rock-X SDK AI visual recognition API component library to realize machine vision recognition quickly, supports TensorFlow/Caffe/Mxnet general-purpose model and provides AI development tools like model transformation and end-to-side API. It also supports the development interfaces of Android NN API, RKNN cross-platform API and TensorFlow.

【Powerful Hardware Decoding Capability】 EC-A3399ProC micro pc has powerful hardware decoding and encoding capability, supports 4K VP9, 4K 10bits H265/H264 and 1080P multi-format (VC-1, MPEG-1/2/4, VP8) video decoding, supports 1080P (H.264/VP8 format) video encoding.

【Powerful Hardware Decoding Capability】 It supports dual LVDS, EDP, HDMI, DP1.2 and other display output interfaces, dual-screen identical display/dual-screen differential display, and H.265 HEVC, VP9 and H.264 encoding, 4K HDR, maximum support for 4K hardware decoding. AIO-3399C can directly drive multiple resolutions eDP interface LCD screen.

【Excellent Industrial Applicability】 Equipped with industrial-grade case, fanless and efficient heat dissipation design and multiple installation methods, which can be quickly and flexibly embedded into various smart devices.

【Rich External Interface】 AIO-3399C can be powered by POE+ (802.3 AT, output power 30W) enhanced Ethernet. It has rich external interfaces, supports RS232, RS485 interface, and onboard 2-way TTL port, convenient to connect various industrial equipment and easy to achieve product development.

【Ultrahigh Performance】 Onboard AI embedded neural network processor NPU, with 28000 parallel neural calculation cores, on-chip parallel and in-situ computation supported, with a peak performance reaching up to 5.6 Tops and 2.8 Tops computing performance, with an efficiency energy-consumption ratio reaching up to 9.3 Tops/W. It has strong computing power. In the meantime, extremely low energy consumption is also maintained, making it extremely advantageous in the application of edge computing of terminal device.

【Unique AI Architecture】 Dedicated MPE matrix engine and APiM (AI processing in Memory) framework for AI adopted, local parallel AI computation integrated with storage and calculation. one-time upgrade network preload with no need for instructions, bus, and external DDR cache. This configuration improves the processing speed hugely and lowers processing energy consumption a lot compared with processors built in traditional architecture approaches.

【Supporting Model Training Tool】 Complete easy-to-use model-training tool PLAI (People Learn AI) based on PyTorch is offered. It can be developed on Windows 10 and Ubuntu 16.04 system, and user-defined network model is added easier, greatly lowering the technical threshold of using AI.

【AI Neural Network Processor NPU】 Onboard AI neural network processor NPU SPR2801S, adopts AI special architecture APiM, its computing capability up to 2.8 Tops, 9.3 Tops/W ultra-high efficiency.This configuration improves the processing speed hugely and lowers processing energy consumption a lot compared with processors built in traditional architecture approaches.

【Stable And Reliable】 With SODIMM 260P interface, the data transmission and expansion performance can be best achieved, immersion gold process pin, corrosion resistant, 2 studs fixed, stable and reliable. Designed measurement is only 69.6mm x 49.6mm for saving more precious space.

【High-performance Industry Main Board】 Core-3328-JD4 core board can be combined with the backplane to form a complete high-performance industry application mainboard, the performance is more powerful and can be directly applied to a variety of intelligent products.