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 RockChip Releases RK2108 Smart Dock Solution, Turing an Android Tablet into a Smart Displa |
simon.jeon | 2019-10-15 |
RockChip Releases RK2108 Smart Dock Solution, Turing an Android Tablet into a Smart Display
2019-10-12
RockChip releases RK2108 smart dock solution, which adapts to Android tablets and make tablets become smart display products. A Tablet with smart dock can be voice-controlled by users for apps, music, videos, searching and other functions, which will greatly expand the application scenarios of traditional tablets.
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(Product Sample Design)
Rockchip RK2108 is a new and high cost-effective solution for audio applications, with MCU+DSP architecture and supports A/D audio interface, MIPI DSI/MCU LCD interface and USB2.0 interface.
The solution features:
1. It is built-in high-performance audio DSP, providing powerful voice signal processing capability
2. It supports audio pre-processing, active noise reduction, AEC, etc. for accurate sound recognition
3. It supports customized wake-up words and offline instructions by third parties
4. It is ultra-low power consumption both in standby and operation mode
Android tablets can be equipped with RK2108 smart dock easily via USB interface or Bluetooth, to turn into smart display products.Traditional tablets will become intelligent enough to accurately receive and display voice commands, and user experience in education, business, smart home and other scenarios is greatly optimized.
| Powered by Rockchip Toybrick, Linaro launched two 96Boards SOM |
simon.jeon | 2019-04-02 |
Powered by Rockchip Toybrick, Linaro launched two 96Boards SOM
2019-04-01
[Cambridge UK, 1 April 2019] Linaro Ltd, the open source collaborative engineering organization developing software for the Arm® ecosystem, today launched two 96Boards Compute SOM designs with Rockchip Toybrick and Beiqicloud - TB-96AI and TB-96AIoT - and a 96Boards SOM Carrier Board. Also, Linaro announced the publication of version 1.0 of 96Boards System-on-Module (SOM) specifications. 96Boards is Linaro’s initiative to build a single software and hardware community across low-cost development boards based on Arm technology.
Powered by Rockchip solutions, TB-96AI features the latest high-performance AI processing chip RK3399Pro while the TB-96AIoT is equipped with the RK1808 AIoT chip with ultra low power consumption. The 96Boards Compute SOM designs are available for purchase today from t.rock-chips.com and Beiqicloud.com.
【TB-96AI】
The TB-96AI , equipped with RK3399Pro, has an integrated neural network processor NPU, computing power of up to 3.0 Tops, and offers compatibility across a variety of AI architectures. It can be combined with the backplane to form a complete industry application motherboard, and be applied to various embedded artificial intelligence fields. The SOM design has the following characteristics:
● Super Performance Processor
The architecture of Arm dual-core Cortex-A72+quad-core Cortex-A53 is adopted. The main frequency is up to 1.8 GHz and it integrates Mali-T860 MP4 quad-core graphics processor.
● Ultra-high AI power NPU
Integrating AI Neural Network Processor NPU, supporting 8Bit/16Bit operation, and with computing power of up to 3.0Tops, it can meet various AI application needs such as vision, audio and so on.
● Powerful Hard Decoding Ability
Supports DP1.2, HDMI 2.0, MIPI-DSI, eDP multiple display output interfaces, dual-screen co-display/dual-screen heterodyne, 4K VP9, 4K 10bits H265/H264 and 1080P multi-format (VC-1, MPEG-1/2/4, VP8) video decoding, 1080P (H.264, VP8 format) video coding.
● Supports multiple AI frameworks
Compatible with multiple AI frameworks, the design supports TensorFlow Lite/Android NN API, AI software tools support import, mapping and optimization of Caffe / TensorFlow models, allowing developers to easily use AI technology.
● Rich Interfaces
【TB-96AIoT】
Equipped with the RK1808 AIoT chip, 22nm process, ultra low power consumption with Independent NPU and AI computing power of up to 3.0Tops, the TB-96AIoT also provides rich interfaces and strong scalability:
【96Boards SOM Carrier Board】
The 96Boards SOM Carrier Board is compatible with both the TB-96AI and TB-96AIoT. It is designed to suit different markets and demonstrates how easy it is to support multiple different SOMs.
>>> The publication of version 1.0 of 96Boards SOM specifications
Today two 96Boards SOM specifications have been launched - the Compute Module Specification and the Wireless Specification. Both specifications encourage the development of reliable and cost-effective embedded platforms for building end-products. The specifications have been proposed, created and reviewed by the current 96Boards Steering Committee Members.
● The Compute Module Specification, which defines a SOM with generic module-to-carrier board interface, independent of the specific SoC choice on the module. The Compute module addresses the application requirements of segments including industrial automation, smart devices, gateway systems, automotive, medical, robotics and retail POS systems.
● The Wireless specification designs a SOM for interchangeable wireless module applications, supporting standard and/or proprietary wireless standards such as 802.15.4, BLE, WiFi, LoRa, NB-IoT, LTE-M etc. The specification is designed to enable evolution that will support multiple products and future wireless standards.
The launch of the new 96Boards specifications means that developers now have a SOM solution which is compatible across SoCs. SOM solutions today use a variety of different connector solutions including SO-DIMM connectors used in DRAM and Mini Module Plus (MMP) connectors for certain specialist boards. Up until now, there has been no solution offering flexible IO and a robust mounting mechanism, nor a standard form factor. The new 96Boards SOM specifications aim to address this lack of choice by producing a general purpose SOM platform that will enable plug and play compatibility between a whole range of different SOM solutions.
About Rockchip Toybrick
Toybrick, Rockchip’s AI development platform, integrates software and hardware development into one platform. In terms of hardware, Toybrick provides various series of development platforms and reference designs to satisfy different user groups. For software, it offers stable system, rich development tools, and series of AI cases and open source communities.
Toybrick is aiming at providing efficient, convenient and stable services, enabling developers to quickly develop AI applications, accelerating the process of industry application development, and improving the whole industry ecology. To find out more, please visit http://t.rock-chips.com
| Rockchip RK3399 has passed AI chip evaluation by the AI Industry Alliance (AIIA) |
simon.jeon | 2019-03-15 |
Rockchip RK3399 has passed AI chip evaluation by the Artificial Intelligence Industry Alliance (AIIA)
2019-03-08
The international forum “AI in 5G - Leading the New Era Forum” was held in Shenzhen on March 6. At the conference, Artificial Intelligence Industry Alliance (AIIA) officially announced the first round of “AIIA DNN benchmark V0.5” evaluation results. As one of the products evaluated in the first round, Rockchip RK3399 passed the evaluation.
Image - Sun Mingjun, the Leader of the General Group of AIIA
announced the first-round evaluation results
Mainly targeting the edge and based on AIIA’s authoritative test platform, AIIA DNN benchmark V0.5 objectively reflects the performance of processors with DNN acceleration capacity in completing inference tasks under four typical application scenarios. According to Sun Mingjun, the Leader of the General Group of AIIA, the first round of evaluation involved four typical application scenarios and two major categories of testing indicators, including speed (fps) and algorithm performance, such as top1, top5, mAP, mIoU, PSNR, etc.. It is the first benchmark in the field of deep learning processor that distinguishes integer and float comparison.
Picture - Evaluation method for the AIIA DNN benchmark V0.5 test
AI solution Rockchip RK3399 ,adoting 28nm process, participated in the first round of evaluation. The results showed that while fixed-point retraining was not required in float models, int8 achieved the performance double that of float computation at the price of a maximum precision loss of 1%.
Picture - Rockchip RK3399 development board evaluation results
Furthermore, in the Interpretation evaluation, AIIA tried to evaluate quantization and float models separately for the first time in the benchmark. The development board based on Rockchip RK3399, showed superior performance in a number of indicators, which were at the leading level in the industry.
Picture- Analysis of v0.5 evaluation results
The powerful performance of Rockchip RK3399 development board is also attributed to Tengine, a lightweight modular high-performance neural network inference engine developed by OPEN AI LAB. It specifically targets the optimization of Arm embedded devices without relying on third-party databases and supports Android and Liunx.
Tengine supports different common convolutional neural networks, including SqueezeNet, MobileNet, AlexNet, ResNet, etc. and the optimization strategies such as layered fusion and 8-bit quantization. In addition, it fully develops the performance of Arm CPU by calling the HCL database targeting the optimization of different CPU architectures. For example, it takes merely 111ms to single-threadedly run the MobileNet at mobile devices one time at the RK3399 platform Cortex-A72.
In terms of the innovation and development in respect of AI devices such as IoT devices, intelligent interactive devices, personal computers and robots, Rockchip has showed the leading advantages in technology and ranks among the top 20 in the global AI chip list. In addition to RK3399, the flagship AI chip RK3399Pro attracts equal interests and Rockchip uses the hardware structure design of CPU+GPU+NPU for the first time. The chip integrated NPU (neural network processor) integrates the key technologies of machine vision, speech processing and deep learning, and the on-chip NPU algorithm performance reaches 3.0TOPs, possessing the advantages of high performance, low power consumption and easy development. The RK3399Pro-based EAIDK-610Pro development board has been in full swing. It is a brand new embedded AI application development platform and will provide more comprehensive support for AI developers, the multiple scenarios of partners’ products, the development of whole platforms and ecological layout.
In an era of great reforms to AI chips, the launch of “AIIA DNN benchmark V0.5”, the AIIA’s authoritative test platform, and the announcement of the first-round data will accelerate the technical transformation and evolution of AI chips.
| Embeddedworld 2019 Rockchip exhibits various SBC and SOM development boards |
simon.jeon | 2019-03-15 |
Embeddedworld2019 | Rockchip exhibits various SBC and SOM development boards covering multiple application scenarios
2019-02-26
The annual event embeddedworld2019 was held in Nuremberg from February 26 to 28. Rockchip participated in the event this year again and exhibited various development boards in the forms of SBC and SOM based on a number of Rockchip solutions, which satisfy the market demands of AI, intelligent vision, smart speaker etc.
Rockchip embedded solution series support Android and Linux OS, provide industrial-level temperature range support and support long-term supply. The high performance and comprehensive solutions help customers to introduce new technologies more quickly and enhance the overall solution efficiency.
A number of development boards based on RK3399Pro, RK3399, RK3288 and RK1608 solutions were displayed at the site, including Toybrick series development boards, Lenovo Leez P710 SBC development board, the development kit EAIDK under the cooperation with Arm and Open AI Lab and RK1608 vision modules, which were targeting AI applications; superior-performance single-board computation platforms like ROCKPro64 development board and Asus Thinker board; and the phyCORE®-RK3288 core board targeting the industrial control field. The diverse applications that Rockchip solutions cover have attracted lots of attention from the embedded market in Europe.
| MWC 2019 | Rockchip launched ALL-IN-ONE 3D Development Platform jointly with UNRE |
simon.jeon | 2019-03-15 |
MWC 2019 | Rockchip launched ALL-IN-ONE 3D Development Platform jointly with UNRE
2019-02-25
The annual Mobile World Congress (MWC) is the world's famous mobile event of the year. It's also the venue where many of the top phone makers, consumer electronics manufacturers and technology rookies will reveal their flagship products and innovations for the year. Rockchip jointly with UNRE, a 3D AI technical company that is committed to the development and application of 3D vision intelligence technology, launched ALL-IN-ONE 3D Development Platform, UNRE 3DSENZ AIO.
Powered by RK3399 and RK1608, ALL-IN-ONE 3D Development Platform supports 3D sensing of TOF (Main Camera) and Structure light (Front Camera), highly integrated the UNRE 3D SENZ Engine to achieve the high accurate face and object 3D scanning, 3D reconstruction, 3D size and spatial measurement. The ALL-IN-ONE Development Platform, UNRE 3DSENZ AIO, is a turnkey total solution for 3D application development.
3D AI vision technology is widely used in robotic navigation, autopilot, UAV, AR/VR/MR, 3D reconstruction, human-computer interaction, intelligent manufacturing and other fields. At present, TOF technology and 3D structured light are the main directions of 3D AI vision technology. 3D structured light focuses on close-range face unlocking, face recognition, which is suitable for face ID payment, 3D beauty and other functions. TOF is perfect for long-distance 3D information acquisition. It collects more 3D information of environment and objects and displays collected information through AR, holographic image to apply it to larger scenes, like 3D fitting, AR decoration, AR games, Motion Sensing Game etc.
In the future, high bandwidth of 5G network will guarantee the information transmission speed for 3D vision technology. There will be an outbreak of applications like 3D video calls, remote VR of virtual scene + virtual scene, remote AR of virtual scene + real scene, remote JR of real scene + real scene, etc. Powered by RK3399Pro + RK1608, ALL-IN-ONE 3D Vision Development Platform will provide efficient and complete development tools for the 3D vision application industry, and jointly create more breakthrough innovative applications in the 5G era.
| Rockchip released AIoT solution RK1808 with built-in high performance NPU at CES2019 |
simon.jeon | 2019-01-09 |
LAS VEGAS, Jan. 8, 2019 --- CES2019, Rockchip, a leading Chinese semiconductor company, today released the RK1808, an AIoT solution with built-in high performance NPU.
In terms of hardware specifications, Rockchip RK1808 AIoT solution features :
l Dual-core Cortex-A35 CPU architecture
l NPU computing performance up to 3.0TOPs
l VPU supporting 1080P video codec, microphone array with hardware VAD function and camera video signal input with built-in ISP
AIoT is an inevitable trend of the IoT development and also an excellent chance for intelligent upgrades of traditional industries. The four dominant features about functional modules and rich interfaces of Rockchip RK1808 will efficiently energize the AIoT eco-chain and meet developers’ needs to integrate technology into real-life applications.
1. Ultimate low power consumption
l Adopting 22nm FD-SOI process
l Power consumption reduced by about 30%, compared with mainstream 28nm process under the same performance
l DDR-free operation of the always-on device with built-in 2MB system-level SRAM
l With hardware VAD function for low-power monitoring and far-field wake-up
2. Powerful AI computing
l Built-in NPU, computing performance up to 3TOPs
l Supporting INT8/INT16/FP16 hybrid operation to optimize performance, power consumption and operation accuracy
l Supporting network model conversion with strong compatibility: TensorFlow / MXNet / PyTorch / Caffe
3. Rich AIoT-oriented interfaces for application expansion
l For video, supporting MIPI / CIF/BT1120 video input and MIPI/RGB output
l For audio, supporting microphone array input and audio output
l Sensor input and output interfaces including : PWM/I2C/SPI /UART
l High-speed device interfaces including: USB3.0/USB2.0 /PCIE
l Supporting Gigabit Ethernet and external WiFi/BT modules
4. Easy to develop
l Supporting Linux system
l AI application development SDK: supporting C/C++ and Python
Rockchip RK1808 solution is designed for various AI applications including security, education, automobile, smart wearable devices, home appliances, storage and so on, with a series of functions such as voice wake-up, speech recognition, face detection and attribute analysis, face recognition, posture analysis, target detection and recognition, image processing, etc. RK1808 can not only power technology upgrades and breakthrough for the AIoT eco-chain, but can also help eco-chain partners to explore the AIoT market.
| Rockchip, Arm and OPEN AI LAB Jointly Launch First AI Development Platform |
simon.jeon | 2018-09-18 |
Rockchip, Arm and OPEN AI LAB Jointly Launch First AI Development Platform
2018-09-18
SHANGHAI, Sep.14th, Rockchip, Arm China and OPEN AI LAB jointly released the EAIDK (Embedded AI Development Kit) development platform based on RK3399 solution, for designing and developing embedded AI applications during the AI Developer Global Summit.
RK3399 EAIDK Development Platform has integrated the reference design, chip debugging and testing and chip verification as the hardware development kits. Based on AID (the core software platform of OPEN AI LAB) and the powerful multimedia interface and various peripheral interfaces of Rockchip RK3399, it can provide the developer with high-quality hardware reference design, and allow the developer to complete the hardware development of various AI products by simply changing the reference design modular circuit or without changing the modular circuit.
"As Rockchip has accumulated extensive experience and successful cases in the field of AI chips, we have enabled our industrial chain partners to launch various AI terminal products by integrating RK3399 chip. The launch of RK3399 EAIDK Development Platform has made full use of different resources of Rockchip in order to provide AI Developers and partners with full support for their multi-scenario product and all-platform development and ecological layout, "said Rockchip Global Vice President Chen Feng.
"Rockchip RK3399 EAIDK is the first AI development platform that has applied the Arm architecture and can support SDK development and application software development and operation of RK3399 Chip. As the AI Development Platform features full interface and strong extensibility design, it can be applied to different AI usage scenarios and can support the full-function validation. " said Arm China Vice President Jin Yongbin.
As one of Rockchip high-end products, RK3399 can be applied to various applications including high-end tablets, laptops, intelligent monitors etc., as well as one powerful solution providing 4Kx2K content. In the field of AI, RK3399 has realized the multi-field, multi-industry and multi-scenario commercial application, including Smart Home, AI floor mopping robot, IoT AI smart speaker and OTT etc..
OPEN AI LAB Solution General Manager Xv Haibing ever concluded that RK3399 EAIDK development platform could be applied to different fields: "Rockchip RK3399 EAIDK development platform possesses higher flexibility in the industry-university-research cooperation, can provide corresponding platform support for various AI-related development courses for domestic and global universities and educational institutions, and facilitate the AI industrial chain development.”
For developers, Rockchip RK3399 EAIDK Development Platform is able to facilitate them from three major aspects:
1. Lower the development threshold: Since RK3399 EAIDK has provided all developers with a modular development environment, developers can easily bypass various technical difficulties and focus on the product innovation and the design of different application scenarios.
2. Improve the development efficiency: Rockchip RK3399 has various interface types. Developers can quickly implement the hardware development.
3. Create a much more open environment: RK3399 features an open SDK environment, and developers can make their R&D and matching design in hardware and software much more skillful, and even make their products much more competitive.
The First Arm AI Developers Global Summit has gathered various top companies of chip, software and hardware, and business leaders covering the upstream and downstream of AI industrial chain. It has attracted about 1000 developers at home and abroad. During this summit, various technical experts in Arm and Arm AI ecosphere and the industry have made an in-depth analysis on the embedded intelligent system for all AI developers.
| Rockchip AI Solutions facilitate Multiform Commercial Applications |
simon.jeon | 2018-08-23 |
Rockchip AI Solutions facilitate Multiform Commercial Applications
2018-08-08
Lately, Compass Intelligence (a market research company) released the ranking list of global AI chip companies which was based on the result analyzed from four aspects: Company Performance, Product Performance, Market Performance, and Unique Market. Only two Chinese companies are ranked among the top 20 AI chip companies in the world, and Rockchip is one of them.
Rockchip is aiming at the booming IoT market, and has launched a series of AI chip products positioned to various fields such as vision, image perception and voice interaction etc. so as to realize the mass production and commercial use in various applications.
Powerful AI Chip RK3399
The super-performance BIG LITTLE core architecture RK3399 is a featured product of Rockchip AI chips. In this early July, Rockchip officially released the Android 8.1 Neural Networks API (NNAPI) optimized SDK based on the RK3399 platform to provide the much more universal and powerful AI computing support. As a matter of fact, it can be applied to various applications derived from and developed on the basis of the mainstream model architecture, such as face recognition, ADAS, product identification, fatigue detection etc..
Based on RK3399, Rock960 platform, features powerful performance and diversified expansion interfaces. It takes the lead in supporting Tengine and can be applied in many innovative fields, such as IOT equipment, intelligent interactive devices, personal computers, and robots.
AI Voice Interaction Solution
The voice interaction solution is an important part of the Rockchip AI chip strategy. At Baidu Create 2018, Baidu announced that they would team up with Rockchip to create a full-chain solution centered on voice interaction by integrating with software and hardware based on RK3308 and RK3326.
RK3308 and RK3326 are Rockchip's new AI smart voice solutions developed and designed to better meet the market's need for multi-modal voice interactive speaker solutions. Both solutions feature the high-performance and low-power architecture, and they will respectively provide the overall chip solution for audio AI smart speakers and smart display speakers.
As early as 2017 at Google I/O, Rockchip took the lead in releasing the RK3229 Google Voice Assistant solution based on the Andorid system platform to the world. The solution applied a Quad-core Cortex-A7 architecture and in terms of the speech algorithm, it combined Google’s rich experience in the audio field, supporting the sound localization, sound source enhancement, echo cancellation, and the noise suppression etc..
RK3229 solution is now applied to various products, including voice speakers, smart sofas, and voice TV boxes. Recently, the Mango TV Milk Box has been released by integrating with the RK3229 solution. It possesses the built-in far-field voice function, and can accurately identify the main sound even in a long distance or a noisy environment. Therefore, AI is now entering people’s home life.
AI Floor Mopping Robot Solution
Recently, Rockchip has launched four chip-level solutions for AI floor mopping robots, including RK3399, RV1108, RK3326 and RK3308. They all support various functions ranging from AI to VSLAM and laser navigation, covering a wide range of floor mopping robot products (from high-end products to entry-level products). Meanwhile, they have facilitated the definition and upgrade of the standard for the positioning navigation of the 4th-generation AI floor mopping robots.
In the ecological environment for floor mopping robots, Rockchip’s algorithm partners and ODM/OEM customers are respectively involved in various industries such as laser, VSLAM, AI and other fields, in which way, the mass production can be realized quickly.
RK3228 Powers the 4G AI Large-screen Age
RK3228 focuses on a variety of video-based devices with screens, and is designed to present people with a better audio-visual feast. Recently, Iqiyi TV Dongle(Dian Shi Guo) 4G has been released, powered by RK3228A chip. In addition, it supports all 7-mode 16-band networks and supports Bluetooth 4.1 and 2.4GHz/5GHz dual-band WiFi. Meanwhile, 4G/WiFi dual mode is also enabled. By inserting the SIM card and applying the 4G high-quality communication, the 4K ultra-HD video will be transmitted to large-screen devices. In fact, it is the world’s first 4G+AI screen-casting terminal, which will broaden and enhance people’s entertainment scene experience.
High-efficiency Intelligent Vision and Image Perception Solutions
In addition to video, voice and other solutions, Rockchip also attaches great importance to the research and development of visual processing and image recognition products.
As early as 2016, the “Intelligent Vision Development Platform – RV1108” was officially released, realizing the revolutionized development of the high-efficiency intelligent vision and image perception solutions in various embedded systems.
The newly released RK1608 vision processing chip demonstrates the powerful 3D vision-related capabilities. For example, the deep color technology can help people free from complex remote controls and buttons that are replaced by natural gestures and body control; besides, the human skeleton tracking technology is also applied to achieve the accurate positioning and tracking of pedestrians by means of the machine learning algorithms and post-tracking detection technology.
Rockchip’s AI chips positioned to different fields have covered almost all current applicationsand product forms of AI, and will also help all terminal partners deploy their AI ecological chains and accelerate the commercialization of AI products.
 RK3399 안면 인식 알고리즘 SDK 개발 가이드_V1.0 |
simon.jeon | 2018-08-10 |
주요 기능 설명
RK3399 안면 알고리즘 SDK는 Rockchip에서 독자적으로 개발한 얼굴 인식, 추적 및 식별 알고리즘입니다. 연산과 Deeplearning이 결합된 방식이 채용되었으며, 빠른 정밀 연산 처리로 속도가 강화된 점이 특징입니다.
SDK는 RK3399 CPU/GPU의 강력한 연산 능력을 이용한 오프라인 방식이여서 별도의 인터넷 전송이 필요 하진 않습니다.
SDK 제공 기능
1) 안면 인식 및 추적: 정지 상태의 영상[사진] 또는 비디오 스트림중 안면 위치 측정 및 핵심 정보 수집
2)안면 인식: 연속 인식 및 신분 검증 등 다양한 시나리오의 요구 사항에대해서 빠르고 정확한 두 가지 유형을 제공하고 있습니다.
| AI Computation Performance Improves and Rockchip Officially Launches Android 8.1 NNAPI SDK |
simon.jeon | 2018-07-09 |
AI Computation Performance Improves and Rockchip Officially Launches Android 8.1 NNAPI SDK
2018-07-05
Rockchip has officially launched the Android 8.1 Neural Networks API (NNAPI) Optimized SDK based on RK3399 Platform in order to provide the AI operational support featuring universal model and more powerful performance, which is suitable for various derivative and developed applications based on the mainstream model architecture, including face recognition, ADAS, goods identification and fatigue detection etc..
RK3399 features high performance, high scalability and versatility. CPU has applied the big.LITTLE architecture, Dual-core Cortex-A72 and Quad-core Cortex-A53, and its overall performance and power consumption have occupied a leading status technically. Meanwhile, GPU has applied the Quad-core ARM new-generation high-end image processor Mali-T860, and integrated much more bandwidth compression techniques to realize the excellent overall performance. In addition, Android 8.1 is able to completely invoke the neural neural network API (NNAPI) to realize the hardware acceleration, largely improving the AI Operational Performance of RK3399.
RK3399 SDK launched this time is a kind of GPU acceleration solution based on Android 8.1 NNAPI, which can provide corresponding acceleration support for related AI applications developed by means of Android NNAPI, and features the following four major advantages:
1. High Compatibility: Standard API can directly support various APK applications developed based on Android NNAPI;
2. Strong Universality: It can support numerous mainstream model architectures, and is suitable for various derivative and developed applications based on the mainstream model architecture, including face recognition, ADAS, goods identification and fatigue detection etc.;
3. Improved Performance: The real-time performance can be obtained among multiple tasks. For example, the highest frame rate can reach 23.2 when MobileNet is applied for image identification;
4. Lower Power Consumption: It can realize the high-efficient operation based on GPU, and the power consumption is only 1W when fully loaded
According to the APK Testing Data of image identification and target detection, the mainstream model’s performance is outstanding:
AI Computation has achieved an explosive growth, and Rockchip AI solution is widely applied to various industries including the image identification, the intelligent security, the intelligent drive, Automatic Speech Recognition, and the consumer electronics. However, Android 8.1 NNAPI Optimized SDK based on the RK3399 Platform is now officially launched to enhance the hard power of the AI solution Product Line.
| AI+VSLAM visual technology revolution, Rockchip helps in the industrial upgrading of the f |
simon.jeon | 2018-06-04 |
AI+VSLAM visual technology revolution, Rockchip helps in the industrial upgrading of the fourth-generation sweeping robots
2018-05-24
In recent years, the sweeping robot industry has developed rapidly. After the three modes generations of random, planning and navigation, it still requires much manual intervention since the difficult problems such as interactive modes, intelligent planning and hardware energy consumption remain unsolved. Rockchip has released four Linux-based integrated chip-level solutions, which can help in the industrial upgrading and effectively solve the difficult product problems.
The flagship RK3399 solution adopts AI+VSLAM positioning and navigation technology, RV1108 and RK3326 support VSLAM visual positioning and navigation technology, and RK3308 supports the mainstream laser navigation technology.
AI + visual recognition + VSLAM positioning and navigation technology
Rockchip has launched the AI + VSLAM positioning and navigation technology based on RK3399, which enables the sweeping robot navigation technology to enter the fourth-generation directly, truly realizing AI, and with the image recognition, big data, deep learning and intelligent algorithm, perfectly integrating artificial intelligence and sweeping robots.
Adopting the fourth-generation navigation technology, Rockchip RK3399 breaks through the limitation of the reliance of the original VSLAM technology on light conditions, based on visual recognition technology and AI algorithm. It can not only be applied to complicated indoor scenarios such as weak light, weak texture and strong light, but also intelligently identifies nearly a hundred indoor image objects, classifies records, performs visual ranging, avoids obstacles and plans the best sweeping path.
Mainstream solutions: RV1108, RK3326 and RK3308
Features of RV1108 and RK3326:
VSLAM visual positioning and navigation technology
Features of RK3308:
Laser SLAM positioning and navigation technology
The RV1108 and RK3326 integrated solutions issued this time are both equipped with VSLAM visual positioning and navigation technology. Although these two major navigation technologies are already matured, Rockchip’s brand new solutions are more advantaged in hardware performance. To satisfy the R&D demands of different customers, the two types of solutions differentiate the implementation of the VSLAM algorithm:
RV1108 supports the implementation of VSLAM algorithm on DSP and the built-in 8M ISP can simultaneously support 3D cameras. For customers using the VSLAM positioning and navigation technology, it can adapt to more complicated application scenarios; it supports the MIPI CSI interface with a wider range of Camera Sensor module selections.
RK3326 can support the technical implementation of VSLAM algorithm on CPU/GPU. RK3326 GPU adopts G31, which can support Full profile OpenCL2.0, allowing fast implementation of VSLAM algorithm on GPU. The concerted work of CPU + GPU brings better performance.
RK3308 can support the laser navigation technology of the mainstream sweeping robots. Compared with the 40nm Cortex A7 solutions adopted by its peers, with the 64-bit Cortex A35 structure, all the Rockchip solutions use the 28nm new processor with higher performance and lower power consumption, effectively solving the chip heating problem, and this is particularly important for sweepers with built-in batteries.
Five major technical advantages of Rockchip fourth-generation sweeping robot
In terms of technology, Rockchip’s four major solutions have the following advantages over traditional sweeping robot solutions:
5. Customized design of flexible hardware solutions, higher cost performance
Innovation and flexible design of hardware
Rockchip has many algorithm partners and ODM/OEM customers in sweeping robot ecology, covering laser, VSLAM, AI, etc. and is able to achieve rapid mass production. In response to the different product innovation needs of industrial customers, Rockchip has also carried out the flexible design of hardware for the four major sweeping robot solutions. On peripheral materials and parts, RK3399, RV1108, RK3326 and RK3308 may provide a broader support list for such key components as DDR/WIFI/BT/Camera/Nand Flash/EMMC. For partners, it will substantially improve their market competitiveness.
In the fast growing industry, by virtue of the experience in AI, image vision and chip technology, Rockchip’s first-released solutions are very overturning compared with traditional products. The integration with the brand new IoT and AI will enable the white goods market to secure more opportunities for breakthroughs among limited changes.
Home appliances with embedded intelligent technologies become popular. Another general trend is AI home appliances based on the users’ life and business scenarios, which is also in line with the era characteristics of AI and IoT.
| Rockchip released the deep learning-based target detection solution, speeding up the comme |
simon.jeon | 2018-05-24 |
Rockchip released the deep learning-based target detection solution, speeding up the commercial process of high-end AI
2018-05-17
On May 16, 2018, Rockchip released the deep learning-based target detection solution powered by RK3399. It can provide Turnkey solutions for high-end AI industry and support both Android and Linux with a target detection speed of more than 8 frames per second.
Target detection is a very popular research orientation in AI field. It involves the positioning and classification of target objects in pictures or videos. It is quite difficult for machines to acquire the abstract concept of objects and position them from RGB pixel matrix, which poses great challenges to the application of AI.
Currently, the major R&D orientations of AI technology includes: face detection, body detection, vehicle detection, QR code detection and gesture detection, which can be widely used in monitoring, intelligent transportation, new retails, natural interactions, etc., while the target detection technology is the basis of these applications. The deep learning-based target detection technology is highly accurate and robust, and yet cannot be actually deployed and applied in embedded devices for a long time due to heavy computation.
Apart from the quasi real-time running speed, the solution supports the TensorFlow Lite model exported from the Google TensorFlow Object Detection training. As of now, there have been a substantial number of application cases based on TensorFlow Object Detection, covering different types of detections, from face to object, making it one of the most convenient and prevalent target detection frames in the industry.
Rockchip deep learning target detection solution, based on RK3399, supports both Android and Linux, and improves the user experience in using AI products of target detection technology. The solution substantially shortens the R&D cycle and facilitates the earlier launch of more high-end AI products.
| Upgraded to Android 8.1! Rockchip High Cost-effective Tablet Solutions Showed during HK El |
simon.jeon | 2018-05-23 |
Upgraded to Android 8.1! Rockchip High Cost-effective Tablet Solutions Showed during HK Electronics Fair 2018
2018-04-13
Hong Kong Electronics Fair opened today, Rockchip announced that entry-level, medium and high - end tablet solutions fully support Android 8.1. RK3126C, RK3326, RK3368, RK3288 and RK3399 will better meet the diverse needs of the market.
High cost-effective entry-level solution – RK3126C
RK3126C is the BEST choice of high cost-effective entry-level tablet solution in the market, which adaptable to Android 8.1 and supports Android Go GMS authentication.
- Quad-core Cortex-A7 CPU
- ARM Mali-400 MP2 GPU
- 1080P H.264/VC-1/MPEG/VP8 video decoder
- HD display
Mid-end tablet solution – RK3326
RK3326 is a new 64bit Quad-core mid-end tablet solution, which is extremely cost-effective and suitable for smart show products.
RK3326 adopts ARM 64bit Quad-core Cortex-A35 CPU; GPU is the latest ARM G31. It supports OpenGL ES 3.2, Vulkan 1.0; supports 32bit DDR4/DDR3/LPDDR3/LPDDR2 and so on, the configuration selection is flexible and diverse; abundant bandwidth design, which better supports higher resolution LCD and more complex application scene. It supports 8CH I2S/TDM/8ch PDM (suitable for smart show products).
High-end tablet solution – RK3368/RK3288/RK3399
High-end tablet solutions RK3368/RK3288/RK3399, can be applied to the high-end flagship tablet /2in1 tablet / education, finance, medical, game tablet and so on. Some series of Chromebook, Chrome tablet and other Chrome OS products are powered by RK3288/RK3399.
RK3368—— Octa-core 64bit solution, Antutu score reaches 50,000
- Octa-core 64-bit Cortex-A53 CPU
- PowerVR G6110 GPU
- 32-bit DDR3/LPDDR3
- 1080P@60fps H265/H264/VP9 videodecoder
- FHD Display
RK3288—— High performance Quad-core solution, Antutu score reaches 60,000
- Quad-core Cortex-A17 CPU
- ARM Mali-T760 MP4 GPU
- 64-bit Dual channel DDR3/LPDDR3
- 4K@60fps H265/H264/VP9 video decoder
- HDMI 2.0 output up to 4K60Hz
- Support Android/Linux OS
RK3399—— High performance flagship solution, Antutu score reaches 80,000
It adopts Dual-core Cortex-A72 and Quad-core Cortex-A53 Big.Little structure CPU, and Mali-T860 GPU. There are high performance, low consumption, rich interfaces and other characteristics. Significant features including:
- Integrated dual USB3.0 Type-C interface, Type-C Display Port audio and video output
- MIPI/eDP interface, supported 2560x1600 display and dual display
- Built-in PCI-e interface that supported high speed Wi-Fi and memory extension based on PCI-e
- Supported high bandwidth LPDDR4
- Dual ISP processing up to 13MP/S, supporting 3D images
- Compatible with Android, Linux, Chrome OS etc.
| A thousand developers join the Rockchip Developer Conference |
simon.jeon | 2018-04-30 |
A thousand developers join the Rockchip Developer Conference
2018-04-20
The Rockchip Developer Conference 2018 is the third conference held by Rockchip in Fuzhou. The event attracted nearly one thousand developers and audiences from industrial leading companies and a number of renowned companies and partners with global influence attended the event.
A number of industrial leaders and pioneers, including Zhu Kaihua, Duer Business Division CTO, Xie Linfeng, the Chief Architect for IoT operating system of Alibaba Cloud IoT Business Division, Deng Qiuwei, the President of 360 Intelligence Business, Zhao Hengyi, the Vice President of AI Speech, Chen Feng, the Director of Product Management of ArcSoft, Gao Weihan, the CPO of Pisofttech and Song Xiangming, the Co-Founder of ReadSense gave wonderful keynote speeches in AI cutting-edge technology, AI interactive system, IoT, unmanned driving, major industries and major applications.
Rockchip breaks through in seven major areas
Rockchip demonstrated many cases of its cooperation with industrial giants at the conference. A number of chips of high performance and high cost performance have been successfully applied in nearly 100 industries, including the flagship chip RK3399, RK3288, RK3368 and RV1108.
In the application of high-end AI chips, the Cheetah AI Speaker powered by Rockchip intelligent audio solution newly released in March 2018 was demonstrated onsite. In addition to rich content, the AI speaker contains abundant built-in hot news on the Internet, music, reading and FM applications. It is greatly intelligent in man-machine interactions and able to quickly respond to questions such as “How’s the weather ?”, “Xiaobao, play a joyful song”, “Xiaobao, play a piece of news for today”, etc., which can satisfy user’s all-round needs for basic necessities of life.
Another demonstrated AI solution application was the SenseTime face recognition machine, which adopts the Rockchip image recognition technology and quickly recognizes faces for comparison with the ID card placed in the recognition area. The product may be gradually put into commercial use in the transportation sector nationwide.
In the application of mainstream and flagship-level chips, the cases of applications by the international giants Google and Sony were showed on site as well. Google has used Rockchip solutions for three successive generations on its electronic products for education, including the Chrome tablets and Chromebook notebooks. As Google Chrome OS is an online cloud system, teachers and students are able to retrieve all the personal data and information under their account by logging into their account on any terminal. Thus, it has strong application value and convenience in the education field.
Other exhibited items on site include the Sony reference design board ToF, which can be used in AR, VR and other fields that require automatic operation, such as robots and drones. Rockchip technology has been widely used in the base of the image technology.
| Powered by Rockchip OP1-RK3399, Google released world’s first Chrome OS Chromebook Tab 10 |
simon.jeon | 2018-04-30 |
Powered by Rockchip OP1-RK3399, Google released world’s first Chrome OS Chromebook Tab 10
2018-03-28
On 27th March China, Google released the world’s first Chrome OS tablet - Acer Chromebook Tab 10, powered by Rockchip RK3399 OP1, which is mainly targeted to the global K-12 education market.
As defined by Google, the Chromebook Tab 10 is a lightweight version of Chrombook, designed for schools for convenient management and sharing. It is the first tablet that can operate Chrome OS, supports the superfine magnetic portable pen Wacom EMR stylus and is expected to support the Google Expeditions AR function. It can simultaneously support Chrome App and Android App. The product shape of Chrome OS+ tablet enables the interactive modes of touch and voice control to be more advantaged compared with keyboard.
In the design of hardware, the CPU adopts Rockchip OP1-RK3399, with a memory and storage space of 4GB+32GB, a 9.7-inch screen, a resolution of 2048x1536, a weight of only around 1.2 pounds, supporting Google Play and the USB-C extended function. It has an built- in HD 2MP front camera, double speakers, one microphone and a 5MP rear camera. The battery lasts up to 9 hours. The Wacom touch pen allows users to make use of the latest machine learning technology, bringing more natural handwriting experience.
Rockchip OP1-RK3399 was also used in the Chromebook plus jointly released by Google and Samsung at the CES in January 2017.
RK3399 CPU adopts Big.Little core structure, Dual Cortex-A72 big core + Quad Cortex-A53 little core structure. With Mali-T860 MP4 as the GPU, the general performance of the GPU improves by 45% compared to that of the previous generation. Additionally, the extensibility and multimedia performance of RK3399 are extremely strong, supporting DDR3\LPDDR3\LPDDR4 memory, H.264/H.265/VP9 4K10bit@60fps video decoding capability, HMDMI2.0, USB3.0, Type-C and even PCI-e port.
In recent years, Google has been making strong pushes towards the education market with steady increase in the market share. Chrome OS has gained a big success in the school market, with nearly all the computer manufacturers promoting the Chrome OS computers. By the third quarter of 2017, Chromebook had occupied 60% of the K-12 education market in the U.S.
The RK3399 OP1 Acer Chromebook Tab 10 will continue to assist in the upgrade and popularization of handwriting cloud tablet devices in the global education field.
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