The mini computer supports 8GB large RAM. M.2 and SATA3.0 interfaces enables expansion with large hard drives. Providing dual gigabit ethernet ports, it supports wifi 6 wireless transmission. Control port can be connected with RS485/RS232 devices. Various systems and boot ways are supported-with the dedicated application programs and forums, geek fun is endless.
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Small and portable, Station P1 is equipped with a metal case and can be used immediately when powered on. It possesses Firefly Geek Entertainment System. Station OS on which the desktop and media modes can be switched randomly to finish daily office work or play games for fun. Compatible with Android, Ubuntu and Phoenix OS.
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.
Equipped with high-performance quad-core AI vision processor with built-in AI neural network acceleration NPU, the core board has capable computing power up to 2.0 Tops, which can achieve efficient face recognition and detection. it supports multiple-channel video coding and decoding and provides variuos interfaces. It can be flexibly applied to face recognition, gesture recognition, gate access control and other fields.
Adopts PX30 industrial grade 64-bit low-power processor, supports multiple operating system, with powerful hardware decoding capability and rich interface. It can be configured with a far-field microphone array board to realize AI intelligent voice to better meet the needs of voice interaction.
Using Rockchip RK3399 Six-Core (A72x2+A53x4) 64-Bit 2.0GHz processor, have a variety of storage configuration options, and users can quickly realize the proejct's production by expanding the function base plate.
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.
Equipped with a six-core 64-bit "server class" processor Rockchip RK3399, and with 2GB/4GB DDR3 and 16G/32GB eMMC, as well as increases PCIe 2.1 M.2, DP 1.2, Type-C, USB3.0 and other high-performance data transmission and display interface.
Equipped with high-performance RK3399 processor and adopts multiple power supply modes. It supports WIFI or BT wireless connection and can be connected to the expansion board, making the performance stronger and superior. When combined with the all-aluminum alloy case, it becomes a pocket portable personal computer.
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.
Thin and mini. Powerful performance. Easy to start. Station M1 supports various Operating systems and bootup ways, supplying endless geek fun. You can remotely control the device through station app, which makes you enjoy playing everywhere.
The AI Core Board is equipped with Rockdhip 64-bit processor RK3568 which is configured with cual-core GUPU and high-performance NPU, supporting up to 8GB RAM. It supports WiFi6, 5G/4G and other high-speed wireless network communicaitons. Having different video input and out interfaces. It is suitlable for scenarios such as smart NVR, cloud terminal, IoT gateway and industrial control.
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.
With on-board RK1808 AI chip which inbuilt high-efficiency NPU, it possesses a strong calculation capacity and supports multiple AI framework and AI application SDK, being easy to develop. With rich interfaces for AI applications, it is convenient for extension and can be applied to voice wake-up, speech recognition, face recognition and other application scenarios.