Rockchip 2018 Super Embedded Application Platform Showcase

Rockchip 2018 Super Embedded Application Platform Showcase!

From February 27th to March 1st, the 2018 embedded world exhibition & conference was held in Nuremberg, Germany. It is one of the world's most influential exhibitions and the world's largest embedded system exhibition.


In this exhibition, Rockchip demonstrated its ultra-wide platform applications including embedded AI, industrial control, smart audio, smart vision and other development platforms.

Embedded AI platform

Firefly-RK3399 development board. Six-core 64-bit "server-class" processor Rockchip RK3399 with 2GB/4GB DDR3 and 16G/32GB eMMC, and added DP 1.2, PCIe 2.1 M.2, Type-C, USB3.0 HOST and other high-performance data Transmission and display interface. The powerful performance configuration of Firefly-RK3399 is suitable for VR, panoramic shooting, visual recognition, server, 3D and other fields.


RK3288+RK1608 DEEPEYE 120 Face Recognition Engine. The DEEPEYE120 image recognition embedded engine is a small front-end computing unit developed by Yun Tianli in order to solve the complex edge computing needs of the public security system. It is designed using the RK3288+RK1608 embedded engine platform. At the show, the DEECE E120's IFaceEngineĀ® Embedded Portrait Recognition Engine solution showcases mobile face recognition mobile phone deployment.



Industrial Control Platform

RK3288 Asus Tinker board. Equipped with RK3288 processor, quad-core Cortex-A17, clocked at 1.8GHz, supports 4K H.264 video decoding, has better 24-bit/192K audio playback capability, built-in 802.11 b/g/n Wi-Fi , Bluetooth 4.0 + EDR and Gigabit LAN, in addition to four USB ports, HDMI and MicroUSB interface for power supply, the board has a high-definition DSI display interface, CSI camera interface and 40pin interface (28pin GPIO interface), MicroSD The card supports UHS-I speed.



Visual and audio platforms

RK3229 SOM Module for Android Things. RK3229 SOM module mainly consists of six parts: RK3229 master chip, power management chip, DDR3/3L, eMMC, Wi-Fi/BT and built-in fuel gauge. It is reported that the platform can be the first to support both built-in battery and DC direct charge products. Research and development.

Global developers and OEM/ODM manufacturers can use the RK3229SOM module to realize the development of intelligent IoT products such as intelligent voice speakers, cameras, gateways and home appliances.


RV1108 face recognition platform

With key technologies such as intelligent image processing, embedded high-performance CEVA XM4 vision processor DSP, up to 600MHz; 8M ISP; support 1440p@30fps/1080p@60fps H.264 video codec; built-in 128MByte DDR; high integration, Support MIPI DSI, HDMI TX, CVBS IN/OUT, 100M Ethernet, Audio Codec.

RV1108-based viewing algorithm IP also has a complete algorithm matrix, from face detection to human detection, from tracking to identification, all can be perfectly executed in the local calculation, do not rely on computer resources, low power consumption, performance enhancements Times. Such as face detection, can achieve 120ms detection speed and 90% detection rate under 1080P resolution.