Core-1808-JD4 AI Core Board

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.

High-efficiency AI Chip

The CPU of RK1808 AI chip adopts the dual-core Cortex-A35 framework with the maximum frequency of 1.6 GHz. Its VPU supports the encoding and decoding of 1080P regular video format as well as the camera video signal input with the inbuilt ISP. It provides various options for storage configuration, thus the users only need to extend the function baseboard so as to realize project research and output quickly.

Strong AI Calculation Capacity

The inbuilt NPU has a calculation capacity up to 3.0 TOPs, supports INT8/INT16/FP16 mixed operation, and coordinates performance, power consumption and operational precision to the greatest extent. It also supports the network model conversion of frameworks like TensorFlow, Caffe, ONNX and Darknet.

Calculation-accelerated Unit

Coupled with RK3399, it can form the high-performance AI neural network acceleration cluster with NPU being 1+1 or 1+N.

AI Application Development SDK

AI Application Development SDK supports C/C++, Python and fast-developed Rock-X SDK. It also supports the running of RKNN-Toolkit on PC and RK3399, which is convenient for customers to establish the neural network operation platform rapidly. Therefore, it’s highly convenient for software development.

Open SDK

Equipped source code, tutorial, technical materials, and development tools are provided, making development easier and more convenient.

Stable And Reliable

Adopts SODIMM 260P interface which brings the data transmission and extension performance into full play. Through the immersive craft, it is corrosion-resistant, solid and reliable.

Rich Extension Interfaces

With high-speed device interfaces like 1×USB2.0 and 1×USB3.0 (TX and RX used along with PCIE), and a series of input and output interfaces like PWM, I2C, SPI and UART. It supports MIPI/CIF/BT1120 video input, MIPI/RGB display output, Gigabit Ethernet and external WiFi/BT modules.

Application

It has wide applications in voice wake-up, speech recognition, face detection, attributive analysis, face recognition, posture analysis, target detection and recognition, image processing, etc.

Specification

Specification
SoC

Rockchip RK1808

CPU

Dual-Core Cortex-A35,up to 1.6GHz

NPU

Up to 3.0TOPs,support OpenCL/OpenVX,support INT8/INT16/FP16

support TensorFlow、Caffe、ONNX、Darknet

GPU

Support 2MP, AE/AWB/AF

VPU

1080p @ 60FPS H.264 decoding

1080p @ 30FPS H.264 encoding

RAM 2GB DDR3 (2GB/4GBOptional)
Storage

16GB high-speed eMMC 4.51 (16GB/32GB/128GB Optional)

Support TF card expansion, support PCIe 2.1

Hardware Features
Ethernet

10/100/1000Mbps Ethernet

WiFi

Extending WiFi & Bluetooth via SDIO3.0

Display

1 x MIPI-DSI, support single channel 1080P@60fps output

1 x RGB, 18-bit (RGB666) up to 1280x800@60fps

Audio

1 x I2S for audio input and output

1 x Headphone

1 x Speaker (8Ω, 1.3W)

2 x MIC

Canmera

1x MIPI-CSI (built-in dual hardware ISP, support up to single 13Mpixel or dual 8Mpixel)

1xDVP

USB 1 x USB3.0 (multiplexed with PCEI) 、1 x USB2.0
Other

Support USB3.0 / PCIe2.1

Built-in 1-ch & 8-ch I2S & 8-ch PDM,Built-in VAD

7 x UART、3 x SPI、5 x I2C、10 x PWM、4 x SARADC

OS/Software
OS

Linux+QT

Appearance
Size

69.6mm × 50 mm

Interface

Gold finger (SODIMM 260P , 0.5mm pitch)

PCB

8-layer board design