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.
RK3566 quad-core 64-bit Cortex-A55 processor has frequency up to 1.8GHz — the efficiency is greatly improved. With 22nm lithography process, it features low power consumption and high performance.
It 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.
It 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 100fps H.265/ H.264 video encoding. The NPU supports one-click switching of mainstream frameworks like Caffe/TensorFlow.
The onboard M.2 PCIe2.0 interface can be connected with NVMe SSD, owning the advantages of high-speed reading and writing and large storage.
Equipped with high-quality metal enclosure, the space-saving computer delivers efficient heat dissipation and can be flexibly embedded in various intelligent devices.
With HDMI2.0, USB3.0, USB2.0 and other interfaces, it can be directly used for external device control and expansion.
It supports Android, Ubuntu, Buildroot+QT, Station OS and other systems with stable and reliable operation.
A complete SDK, development documents, examples, technology documents, tutorials and other resources are provided for the users to make a further customization.
This computer can be widely used in smart NVRs, cloud terminals, IoT gateways, industrial control, edge computing, face recognition gates, NASs, etc.
Quad-core 64-bit Cortex-A55, 22nm lithography process, frequency up to 1.8GHz
ARM G52 2EE
Supports OpenGL ES 1.1/2.0/3.2. OpenCL 2.0. Vulkan 1.1
Embedded high-performance 2D acceleration hardware
0.8Tops@INT8, integrated high-performance AI accelerator RKNN NPU
Supports one-click switching of Caffe/TensorFlow/TFLite/ONNX/PyTorch/Keras/Darknet
Supports 4K 60fps H.265/H.264/VP9 video decoding
Supports 1080P 100fps H.265/H.264 video encoding
Supports 8M ISP
1GB / 2GB / 4GB / 8GB LPDDR4
32Bit,supports all-data-link ECC
8GB / 16GB / 32GB / 64GB eMMC
M.2 PCIe 2.0 × 1 (Supports 2242 NVMe SSD)
TF-Card Slot x1 (Expand with TF card)
1×GbE (RJ45, 1000 M bps)
Supports dual-band WiFi (802.11 a/b/g/n/ac)
1 × HDMI2.0. Supports 4K@60fps output
1 × HDMI audio output
1 × Earphone output
5V (Via Type-C port)
1×HDMI2.0, 1×USB3.0, 1×USB2.0, 1×Type-C(OTG)
Android 11.0, Ubuntu 18.04, Buildroot + QT, Station OS
93.5mm × 82mm × 20mm