Industrial Automation

Software, hardware, tools, and reference implementations help industrial developers meet the demands of the future by turning ideas into competitive advantages.

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Reference Implementations and Code Samples

Follow these reference implementations to deploy end-to-end industrial IoT solutions.

Use computer vision to observe a restricted work area.

Determine if adequate safety protection is worn by individuals entering hazardous work environments.

Run independent workloads for computer vision and time-series data analysis in virtual machines.

Automate the process of identifying manufacturing irregularities on a conveyor belt.

Observe employees and send alerts when safety is at risk due to operator distraction.

Perform local or cloud analytics on motor performance issues.

Detect manufacturing anomalies of objects on a conveyor belt.

Use computer vision to observe activities in a store, factory, or warehouse.

Restrict equipment operation and access to secured areas of a factory or lab.


Industrial IoT Workshop

Get a glimpse into the workshop hosted in Milan, Italy, where participants learned about industrial protocols and sensors, computer vision, time-sensitive networks, and more.


Workshop Materials

The presentations from our in-person workshop are available to everyone. This workshop covers the latest industry topics including:

  • Software-defined industrial systems
  • Security for industrial IoT
  • Computer vision


Industrial IoT Developer Webinars

These recorded webinars are available for you to explore. Build connected industrial IoT solutions by learning about:

  • Sensors
  • Protocols
  • Analytics
  • Computer vision



Industrial Reference Implementations (Video)

Workload Consolidation in Industrial IoT

Adopt Time-Sensitive Networking (TSN) for Automation Systems


Intel® Distribution of OpenVINO™ Toolkit

  • Enable convolutional neural network-based deep learning inference on the edge for computer vision applications
  • Support heterogeneous execution across accelerators—CPU, GPU, Intel® Neural Compute Stick 2, and FPGA—using a common API
  • Speed up time to market with a library of functions and preoptimized kernels

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Intel® System Studio

Industrial IoT solutions require a cross-platform tool suite that can help increase application performance, optimize power efficiency, and speed your time to market.


Intel® Media SDK

Enable fast video playback, processing, media format conversion, acceleration of video and image processing, and audio decode and encode support for smart video systems.


Intel® Math Kernel Library (Intel® MKL)

This SDK includes highly vectorized and threaded linear algebra, fast Fourier transforms, vector math, and statistics functions that increase application performance and reduce development time.