Dr. Wei Chen, Vice President of Intel and General Manager of China in the Internet of Things Division
Data from the Strategist's IoT Guide show that by 2021, edge-to-cloud industry spending is expected to reach $11 billion. In this huge IoT opportunity that covers smart manufacturing, smart cities, and other smart devices, Video captured by sensors and connected things will account for $6 billion. In the face of huge market demand, Intel, the technology leader, is leading the evolution of edge computing and computer vision solutions, and is designed for artificial intelligence. The full range of products and solutions help companies continuously discover new possibilities for data.
OpenVINOTM Toolkit Opens Smart Vision Innovation Tour
Intel's new OpenVINOTM (Open Visual Inference & Neural Network Optimization) software platform is a toolkit for rapid development of high-performance computer vision and deep learning vision applications, including Intel® Deep Learning Deployment Tools. Package with model optimizer and inference engine, and optimized computer vision library for OpenCV* and OpenVx*. OpenVINOTM toolkit with Intel® architecture-based processors (CPUs) and integrated GPUs and deep learning accelerators Deep learning acceleration chip (FPGA, MovidiusTM VPU) enhances vision system functionality and performance.
Dr. Zhang Yu, Chief Technology Officer and Chief Engineer, Intel China Internet of Things Division
Li Jun, director of cloud science and technology project, said: 'Cloud has launched a self-developed product technology Torch Eye Intelligent Recognition Camera from the market-oriented market. This is based on Intel OpenVINOTM and is suitable for all kinds of integrated scenarios. It can build large-scale network commercial application systems. Face recognition smart device. Thanks to OpenVINOTM, this product can be widely used in financial, security, commercial, industrial, education, community, medical and other industrial applications, rapid deployment of artificial intelligence, while leveraging Intel's mature ecosystem. , we can respond more to customer needs more. '
As the latest addition to the full line of Intel® vision hardware and software products, the OpenVINOTM toolkit accelerates high-performance computer vision applications and deep learning reasoning, helping developers and data scientists accelerate computer vision workloads and simplify deep learning deployments. Easily implement heterogeneous edge-to-cloud execution in the Intel® platform. Liu Weili, vice president of Zhongke Yingtai, said, 'Intel's OpenVINOTM toolkit allows us to significantly reduce the development time of new models. Run the tool on Intel GPUs. Packages not only improve computing performance, but also reduce CPU usage. Our goal is to help retailers lead the trend in the smart retail industry, providing customers with more interactive solutions and services. Without Intel's leading technology, these Solutions and services will not be possible.'
'Based on Intel's latest OpenVINOTM toolkit, we are working with Intel to improve the performance and shorten the development cycle of the AliOS AI use case. 'Long Kaiwen, head of core systems development at Alibaba's OS Division, said, 'We Accelerated optimization of the AliOS Internet car road awareness algorithm and improved its performance by 10 times in just two weeks. It is really gratifying to achieve such results. We will continue to work closely with Intel. , further strengthen our leading position in artificial intelligence and deep learning with Intel's unique heterogeneous AI platform and tools.'
The OpenVINOTM toolkit also enables innovators to more flexibly balance the performance, power and cost-effectiveness of specific vision solutions, creating greater value for end customers looking for smart vision solutions. Vision Technology R&D Vice President and AI Products Line Director Tang Libo said, 'We are very pleased to see that Intel has launched a series of chips for deep learning and OpenVINOTM toolkit to help us seize development opportunities in this era of deep learning. With Intel technical support, Yushi Technology has launched UniAI, a fully integrated intelligent solution that supports artificial intelligence from front-end IPCs to back-end servers, providing our customers with a more cost-effective solution with less investment and lowest total cost of ownership.
At present, based on the Intel Apollo Lake platform, Cloud from the fields of finance, security and other fields, the company first released the first product based on OpenVINOTM toolkit in China, and has begun mass production.
Intel's comprehensive vision solutions help businesses transform their businesses
Intel vision solutions with advanced hardware and software provide outstanding data processing flexibility at edge nodes (including cameras and local servers), improve real-time data processing, and achieve superior scalability in the cloud for fast access Edge data, efficient processing and analysis of bandwidth-intensive visual data, and rapid transformation of data into insights with superior agility and manageability will drive the next generation of artificial intelligence and analytics to enable powerful deep learning and reasoning Application in all walks of life.
Wang Zhicong, General Manager of Intel China Sales
Intel's IoT Vision technology combines end-to-end intelligence with superior performance to help solution providers and enterprises leverage advanced technologies to drive business growth while helping to improve security, operational efficiency, productivity, healthcare and quality of life. , to benefit the society.
Traffic monitoring. Cameras with Intel FPGA and MovidiusTM VPU capture data and automatically send it to the downstream intersection system, helping the transportation department optimize traffic and planning. This information can be communicated directly to the driver via the vehicle system or application. , help them plan the route.
Public safety. With the Myriad VPU and algorithms developed using the OpenVINOTM toolkit, trained deep neural networks can now use the inference function to perform common facial recognition analysis and identify missing children. Urban law enforcement agencies using this technology can be trained When the data set matches the face of the missing child in the crowd, the relevant notification is received immediately.
Industrial Automation. Intel Vision Solutions help smart factories consolidate OT and IT, reshape industrial business models and growth strategies. Production controls will be automated, smooth, and time-to-market.
Machine Vision. Enhance industrial machine vision with artificial intelligence to support more precise factory automation applications. The solution combines cameras, computers and algorithms to analyze images and video, providing important information at the edge that can be used to guide actions.
Responsive retail. Retailers who use Intel computer vision solutions at the edge can quickly identify specific customer or customer behavior patterns to provide personalized, accurate marketing services.
Operations Management. By using Intel architecture-based computer vision solutions, retailers can streamline operations, manage inventory, optimize supply chains and enhance sales capabilities, and help them unlock the value of their data.
Dr. Chen Wei, Intel's vice president and general manager of the physical area, said, 'Now, data-driven technology is reshaping the world we live in and portraying the possibilities of the future. Intel's strong computing power and leading edge Technological advantages are driving the accelerated development of computer vision to help companies in all walks of life resolve complex data challenges and turn data into action. It is worth mentioning that the Chinese market is leading the world in artificial intelligence and computer vision applications. We have already planned the demand information of the Chinese market into the future product line. I believe that in the near future, we will see more intelligent visual innovation applications from the Chinese market.'