Develop Multiplatform Computer Vision Solutions


Explore the Intel® Distribution of OpenVINO™ toolkit

Make your vision a reality on Intel® platforms—from smart cameras and video surveillance to robotics, transportation, and more.

Your Computer Vision Apps...Now Faster

Develop applications and solutions that emulate human vision with the Intel® Distribution of OpenVINO™ toolkit. Based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware (including accelerators) and maximizes performance.

  • Enables CNN-based deep learning inference at the edge
  • Supports heterogeneous execution across computer vision accelerators—CPU, GPU, Intel® Movidius™ Neural Compute Stick, and FPGA—using a common API
  • Speeds up time to market via a library of functions and preoptimized kernels
  • Includes optimized calls for OpenCV and OpenVX*

Get Started

Discover the Capabilities

Deep Learning for Computer Vision

Accelerate and deploy CNNs on Intel® platforms with the Deep Learning Deployment Toolkit (DLDT) that's available in the Intel Distribution of OpenVINO toolkit.

Hardware Acceleration

Harness the performance of Intel®-based accelerators: CPUs, GPUs, FPGAs, VPUs, and IPUs.

Who Needs This Product

Software developers and data scientists who:

  • Work on computer vision, neural network inference, and deep learning deployment capabilities
  • Want to accelerate their solutions across multiple platforms, including CPU, GPU, VPU, and FPGA

 

Medical Imaging Powered by AI

Intel teamed up with Philips to deliver high performance, efficient deep-learning inference on X-rays and computed tomography (CT) scans without the need for accelerators. The solution runs on servers powered by Intel® Xeon® Scalable processors and was optimized by Intel® Distribution of OpenVINO™ toolkit.

What's New in the 2018 R5 Release

  • Extends neural network support to include long short-term memory (LSTM) from ONNX*, TensorFlow*, MxNet frameworks, and 3D convolutional-based networks in a preview mode (CPU only) to support additional, new use cases beyond computer vision.
  • Introduces the Neural Network Builder API in a preview mode, which provides the flexibility to create a graph from simple API calls. Directly deploy it using the Inference Engine without loading intermediate representation (IR) files.
  • Delivers a significant boost in CPU performance, especially on multicore systems, through new parallelization techniques.
  • Provides INT8-based primitives for Intel® Advanced Vector Extensions-512, Intel® Advanced Vector Extensions 2, and Single Instruction Multiple Data (SIMD) extensions (SSE4.2) platforms that deliver optimized performance on Intel® Xeon®, Intel® Core™, and Intel® Atom processors.
  • Supports Raspberry Pi* hardware as a host for the Intel Movidius Neural Compute Stick 2 (preview). Offload your deep learning workloads seamlessly to this low-cost, low-power USB stick that's based on the Intel® Movidius™ Myriad™ X technology. It also supports the previous generation.
  • Adds three optimized pretrained models (a total of 30 in the toolkit):
    • Text detection of indoor and outdoor scenes
    • Two single-image, super-resolution networks to enhance the resolution of an input image by a factor of three or four

Release Notes

Product Brief

System Requirements

What You Can Do

Interactive Face Recognition

This example demonstrates face detection capabilities, featuring the ability to determine age, gender, and the position of a head.

What Customers Are Saying

“Intel® Xeon® Scalable processors and OpenVINO toolkit appears to be the right solution for medical imaging AI workloads. Our customers can use their existing hardware to its maximum potential, without having to complicate their infrastructure, while still aiming to achieve quality output resolution at exceptional speeds."

— Vijayananda J., chief architect and fellow, Data Science and AI, Philips HealthSuite Insights, India

White Paper

What Customers Are Saying

"Our strategic focus is bringing artificial intelligence on the edge. The challenge has been in implementing efficient algorithms to balance the workload between different hardware components. The OpenVINO toolkit bridges this gap, giving us a unique tool that speeds up the path to production, both for us and our partners."

— Fabrizio Del Maffeo, vice president and managing director, AAEON Technology, Europe

What Customers Are Saying

"Powered by the new OpenVINO toolkit, which delivers a comprehensive toolkit for developing and deploying [a] vision-oriented solution, and is capable of delivering higher computing and graphics performance, [several solution-ready packages from Advantech are launching] for vertical markets, including people counting, heat map analysis, facial recognition, and loss prevention. With the OpenVINO toolkit, we can easily process real-time video recording and transcoding, human detection and counting, as well as signage management."

— MC Chiang, associate vice president of Service-IoT, Advantech

What Customers Are Saying

"AI presents tremendous opportunity for industrial automation. With machine vision extensively used for guidance, identification, gauging, and inspection in manufacturing processes, the OpenVINO toolkit integrates deep learning tools, computer vision acceleration, and support for heterogeneous execution environments with high inference speed and accuracy for machine vision.”

— Edgar Chen, general manager of the embedded platforms and modules business unit, ADLINK*

What Customers Are Saying

"With the OpenVINO toolkit, we are now able to optimize inferencing across silicon from Intel, exceeding our throughput goals by almost six times. We want to not only keep deployment costs down for our customers, but also offer a flexible, high-performance solution for a new era of smarter medical imaging. Our partnership with Intel allows us to bring the power of AI to clinical diagnostic scanning and other healthcare workflows in a cost-effective manner.”

— David Chevalier, principal engineer, General Electric (GE) Healthcare*

What Customers Are Saying

"Dell EMC* surveillance labs validation program—and joint collaboration with Intel and its software tools—allows us to deliver proven solutions with the top surveillance camera and video software companies."

— Ken Mills, general manager, surveillance and security solutions for Dell EMC

Case Studies

Deep Learning for Healthcare Imaging

Intel and GE* bring the power of AI to clinical diagnostic scanning and other healthcare workflows.

Performance Boost for a Deep Learning Algorithm

GeoVision sped up its facial recognition solution using Intel® System Studio and the Intel Distribution of OpenVINO toolkit.

Digital Security & Surveillance Solutions

This toolkit is the centerpiece of Agent Vi*, which provides next-generation vision technology.

Robotics with AI for Industry 4.0

NexCOBOT offers a flexible, modular robotics solution that integrates AI with machine vision using tools from Intel.

Open-Source Software

The OpenVINO™ toolkit is an open-source product. It contains the Deep Learning Deployment Toolkit (DLDT) for Intel® processors (for CPUs), Intel® Processor Graphics (for GPUs), and heterogeneous support. It includes an open model zoo with pretrained models, samples, and demos.

OpenVINO™ Toolkit

GitHub* for DLDT

GitHub for Open Model Zoo