OpenVINO™ Toolkit Accelerates Computer Vision Development across Intel® Platforms

by Adam Burns

The Internet of Things (IoT) is a growth business that is creating data-driven innovation opportunities for companies and developers worldwide. One of the driving factors behind the rapid growth in the global IoT market is the adoption of artificial intelligence (AI) technology by businesses seeking greater insight, as demonstrated by a dramatic increase in computer vision solutions at the edge.  

According to recent industry reports:

  • The overall computer vision market is expected to reach USD $17.38 billion by 2023[1],
  • The video analytics market is estimated to reach USD $11.17 billion by 2022[2], and
  • Deep learning revenue is expected to grow from USD $655 million in 2016 to USD $35 billion by 2025[3].

Introducing the OpenVINO™ Toolkit

To help developers take advantage of these trends, Intel is introducing the OpenVINO™ (Open Visual Inference & Neural network Optimization) toolkit, the latest offering in the comprehensive lineup of Intel® Vision Products that accelerate deep learning and transform vision data into business insights. The OpenVINO™ toolkit, in combination with Intel’s diverse portfolio of hardware and software, drives deep learning at the edge and positions Intel as the clear industry leader in enabling IoT solutions from the edge to the cloud.

The OpenVINO™ toolkit is designed to enable users to fast-track development of high-performance computer vision applications, unleash deep learning inference capabilities across the entire Intel silicon portfolio, and provide an unparalleled solution to meet their AI needs. The new toolkit also includes three major APIs: The Deep Learning Deployment toolkit, a common deep learning inference toolkit that scales across Intel® Vision Products, and optimized functions for OpenCV* and OpenVX*. With the addition of the OpenVINO™ toolkit to the Intel® Vision Product portfolio, along with other AI products such as nGraph, Intel provides the broadest set of capabilities to distribute AI solutions from the edge to the network to the cloud across a diverse set of products. Because OpenVINO is compatible with widely adopted AI frameworks, developers can seamlessly and effortlessly deploy their applications at the edge.

Computer Vision: Challenges and Opportunities

Developers who want to capitalize on computer vision and the opportunities it presents typically face several fundamental challenges. First, computer vision solutions often experience bandwidth, storage, and latency limitations. Second, it can be difficult to optimize computer vision applications to improve performance and efficiently integrate artificial intelligence and deep learning capabilities. Finally, scaling computer vision applications to meet power, performance and cost requirements can be expensive, and applying software to different hardware may require a complete solution redesign.

Addressing these challenges requires the kind of distributed, end-to-end intelligence provided by the new OpenVINO™ toolkit.  This toolkit helps developers streamline deep learning inference and deployment of high-performance computer vision solutions across a wide range of vertical use cases.

A New Vision of Flexible, High-Performing Solutions

Developers are now using OpenVINO™ toolkit and other Intel® Vision Products to easily port computer vision and deep learning inference solutions from a wide range of common software frameworks, such as TensorFlow, MXNet, and Caffe, to Intel processor and accelerator technologies, including Intel CPUs, Intel integrated graphics, Intel field programmable gate arrays (FPGAs),  and Intel® Movidius® vision processing units (VPUs).  

Get Started

Intel has the tools you need to accelerate your vision deployment with the OpenVINO™ toolkit and available developer kits, which will reduce your time to prototype, expedite your path to production, and provide you with a future-proof design that will scale and evolve to keep pace with changing market demands.

Download your free OpenVINO™ toolkit today to optimize traditional computer vision functions and migrate your deep learning algorithms to high-performing video applications across Intel acceleration platforms.

To jump start vision deployments, Intel and its ecosystem partners, IEI & AAEON, are announcing two OpenVINO™ vision accelerator kits -- pre-integrated offerings supporting OpenVINO™ to enable accelerated prototyping & deployment.

Check out more vision solutions and capabilities from Intel’s ecosystem partners from Intel® IoT Solutions Alliance.


[1] Marketsandmarkets, Computer Vision Market, 2017

[2] Marketsandmarkets, Video Analytics Market, 2017 

[3] Tractica, 2Q, 2017

 

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