Your AI and 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.

Discover the Capabilities

Deep Learning Inference

Accelerate and deploy neural network models across Intel® platforms with a built-in model optimizer for pretrained models and an inference engine runtime for hardware-specific acceleration.

Traditional Computer Vision

Develop and optimize classic computer vision applications built with the OpenCV library and other industry tools.

Hardware Acceleration

Harness the performance of Intel®-based accelerators: CPUs, iGPUs, FPGAs, VPUs, Intel® Gaussian & Neural Accelerators, and IPUs.

Intel offers a powerful portfolio of scalable hardware and software solutions, powered by the Intel Distribution of OpenVINO toolkit, to meet the various performance, power, and price requirements of any use case. See how the toolkit can boost your inference applications across multiple deep neural networks with high throughput and efficiency. 

Who Needs This Product

AI researchers, application developers, data scientists, and implementers who require:

  • High-performance, deep learning deployments
  • Streamlined development and an ease-of-use workflow
  • Cross-platform flexibility and scalability with their solutions across Intel® architecture, CPUs, iGPUs, VPUs, Intel® Gaussian & Neural Accelerators, and FPGAs

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 the Intel Distribution of OpenVINO toolkit.

2020.4

2020.3 LTS

What You Can Do

Intelligent Classroom

Track and conduct an analysis on classroom metrics, such as attendance, participation, and engagement.

Industrial Anomaly Detection

Detect industrial anomalies using computer vision and time-series analysis.

Brain Tumor Image Segmentation

Segment brain tumors in raw MRI images by applying the U-Net architecture.

Awarded by the

Embedded Vision Alliance*

Case Studies

Deep Learning for Healthcare Imaging

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

Robotics with AI for Industry 4.0

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

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804