Intel® OpenVINO™ improves engineering capabilities for young computer vision developers

Shenzhen - In order to discover outstanding young talents in computer vision and promote the development and application of computer vision technology, the "CV 101-Computer Vision Young Developer List" selection event jointly organized by Shenzhen Jishi Technology Co., Ltd. and Intel officially kicked off in Shenzhen today. The event aims to empower developers' engineering capabilities from algorithm development to application. By providing developers with the Jishi platform with embedded Intel® OpenVINO™ toolkit, it helps developers accelerate deep learning model reasoning, further promote the application of computer vision algorithms in practical problems, and promote the deep integration of industry and academia. At the same time, this is also a new attempt specifically for young computer vision developers in addition to the application of Intel® OpenVINO™ toolkit in multiple computer vision fields such as industry, retail, and education.

Focus on computer vision to improve developers' engineering capabilities

At present, artificial intelligence (AI) has entered a stage of rapid development, and the field of computer vision, where AI technology is most widely used, has also become increasingly mature, and the industry's demand for AI talents has shown explosive growth. In addition, how to place AI research and development in actual application scenarios, better optimize AI algorithms, and accelerate the implementation of AI applications are also new requirements put forward by the industry for AI developers.

As the first international selection focusing on engineering capabilities in the field of AI computer vision, the "CV 101-Computer Vision Young Developers List" activity will provide young developers with real project scenario data sets and cloud computing resources based on five major theme tasks: smart security, smart logistics, smart water, green cities, and safe cities. Developers can develop algorithms based on the online training system of the Jishi platform, submit algorithms for testing and ranking, and provide solutions based on given practical problems. At the same time, under the guidance of the Shenzhen Talent Bureau and the Shenzhen Youth League Committee, the event will also focus on Shenzhen's urban development, based on specific scenarios such as smart city management and efficient security, so that the excellent works submitted by developers can be truly used by the industry and provide the driving force for the development of science and technology and economy for Shenzhen's urban development.

A highlight of this event is that the unified AI algorithm development and training platform of the event, the Jishi platform, has built-in Intel® OpenVINO™ toolkit and provides support from Intel's cloud performance verification system in the background, which further helps developers save time and effort in setting up the development environment, verifying hardware selection, and other work. It also accelerates model reasoning, greatly improving the developer's development experience and allowing them to focus more on algorithm research and development and optimization during the development process, thereby developing more cost-effective computer vision applications or solutions more quickly and efficiently.

Actively empower developers and accelerate their journey

Developers play a key role in influencing technology and product decisions. After exploring the entire development cycle of developers, Intel found that how to effectively shorten the development cycle and improve development efficiency is particularly important for developers who want to achieve rapid development, rapid implementation, and rapid market launch. In order to address the pain points in the implementation of AI applications, such as scene fragmentation, high application costs, and a large gap between laboratory scenes and actual application scenes, AI developers are in urgent need of universal and consistent tools, software development kits, and programming languages ​​that allow them to seamlessly expand on hardware without having to learn new tools at each step in the process, thereby greatly simplifying development work and ultimately accelerating the development cycle.

Intel has long been focusing on improving the developer experience and has provided a toolkit to accelerate development to actively empower developers. The Intel® OpenVINO™ toolkit embedded in the AI ​​algorithm development and training platform of this event, known as Open Visual Inference & Neural Network Optimization, can support the acceleration of high-performance computer vision applications and deep learning reasoning, help developers and data scientists accelerate computer vision workloads, and simplify deep learning deployment, making it easy to achieve heterogeneous execution from edge to cloud on various Intel® platforms. The Intel® OpenVINO™ toolkit can also help innovators more flexibly balance the performance, power consumption, and cost-effectiveness of specific visual solutions, allowing them to create more cost-effective computer vision products or solutions more quickly and efficiently, creating higher value for end customers seeking intelligent vision solutions.

Zhang Yu, CTO and Chief Engineer of Intel's Internet of Things Division in China, said: "Developers have always been an important part of Intel's powerful ecosystem. We are committed to providing developers with rich and efficient development tools to help them improve development efficiency, optimize product or solution performance, and accelerate the implementation and deployment of commercial applications. In the field of computer vision, in addition to visual reasoning acceleration tools such as the Intel® OpenVINO™ toolkit, we will also launch more software and hardware products and solutions to empower developers in the future, injecting more innovative vitality into the developer journey."