Intel releases OpenVINO toolkit to accelerate deep learning

Intel held a visual solutions and strategy conference with the theme of "Intelligent End-to-End, Intel Transforms the Internet of Things" in Beijing, shared the latest visual processing technology and research progress, and officially released in China focusing on accelerating deep learning and visual data Converted to the OpenVINO toolkit for business insights.

Intel releases OpenVINO toolkit to accelerate deep learning

Chen Wei, Vice President of Intel and General Manager of the Internet of Things Business Unit China

It is understood that Intel's latest OpenVINO? (Open Visual Inference & Neural Network OptimizaTIon, Open Visual Inference and Neural Network Optimization) The software platform is a toolkit for rapid development of high-performance computer vision and deep learning vision applications. Which includes Intel? Deep learning deployment toolkit, with model optimizer and inference engine, and optimized computer vision libraries for OpenCV* and OpenVx*. OpenVINO? Toolkits are available based on Intel? Architecture of the processor (CPU) and nuclear display (Integrated GPU) and deep learning accelerator (FPGA, Movidius? VPU) deep learning acceleration chip to enhance the visual system function and performance.

Intel releases OpenVINO toolkit to accelerate deep learning

Zhang Yu, Chief Technology Officer and Chief Engineer, Intel China Internet of Things Division

In addition, Intel's IoT vision technology combines end-to-end intelligence and superior performance, which can help improve safety, operational efficiency, productivity, medical standards, and quality of life, including:

·Traffic monitoring. Using Intel FPGA and Movidius? The VPU's camera can capture data and automatically send it to the downstream intersection system to help the transportation department optimize traffic and make planning. This information can be directly communicated to drivers through in-vehicle systems or applications to help them plan their routes.

· Public safety. With the help of OpenVINO? The Myriad VPU and algorithm developed by the toolkit, and the trained deep neural network can now use the reasoning function to analyze and identify missing children in general facial recognition. Urban law enforcement agencies that use this technology can immediately receive relevant notifications when the trained data set matches the faces of children who have been reported missing in the crowd.

·automated industry. Intel vision solutions can help smart factories integrate OT and IT, and reshape industrial business models and growth strategies. Production control will be able to operate automatically and smoothly, reducing time to market.

·Machine vision. Use artificial intelligence to enhance industrial machine vision to support more precise factory automation applications. The solution combines cameras, computers, and algorithms to analyze images and videos to provide important information at the edge that can be used to guide actions.

·Responsive retail. Retailers who use Intel's computer vision solutions at the edge can quickly identify specific customers or customer behavior patterns to provide personalized precision marketing services.

·Operation management. By using computer vision solutions based on Intel architecture, retailers can simplify operations, manage inventory, optimize supply chains, and enhance marketing capabilities, and help them discover higher value of data.

Yuncong Technology Project Director Li Jun said: "Yuncong has launched a self-developed product technology torch eye intelligent recognition camera for the market. This is an Intel OpenVINO? It is suitable for various comprehensive scenarios and can be used to build large-scale network commercial application systems. Face recognition smart devices. Thanks to OpenVINO? This product can be widely used in financial, security, commerce, industry, education, community, medical and other industries."

At present, based on the Intel Apollo Lake platform, Cloud from Technology, which focuses on financial, security and other fields, has released the first OpenVINO? The product developed by the toolkit has begun mass production.

Dr. Wei Chen, vice president and general manager of the Internet of Things Division of Intel China, said, “The Chinese market is a global leader in the application of artificial intelligence and computer vision. We have planned the demand information of the Chinese market into the future product line. I believe that in the near future, we will see more innovative applications of smart vision from the Chinese market."

It is reported that data from the "Internet of Things Guide for Strategists" shows that by 2021, the edge-to-cloud industry spending is expected to reach 11 billion U.S. dollars. In this huge IoT opportunity covering areas such as smart manufacturing and smart cities, videos captured by smart devices, sensors and connected things will account for a share of US$6 billion.

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