Industrial Automation
Software, hardware, tools, and reference implementations help industrial developers meet the demands of the future by turning ideas into competitive advantages.
Reference Implementations and Code Samples
Follow these reference implementations to deploy end-to-end industrial IoT solutions.
Wireless Network-Ready Printed Circuit Board (PCB) Defect Detection
Deploy an industrial AI application for product quality checks using Intel® Smart Edge Open.
Address Recognition and Analytics
Based on Intel® Edge Insights for Fleet (Intel® EIF) framework, this reference implementation detects and logs addresses that are displayed on building plaques.
Use AI to examine the input frame of a weld inspection camera to identify porosity defects.
Intelligent Connection Management for Automated Handover
Use a deep reinforcement learning (DRL) algorithm with a graph neural network (GNN) model to implement an intelligent connection management solution for wireless networks.
Use an Intel® RealSense™ camera to create a solution that detects regular and irregularly shaped packages and tracks newly added and removed packages in the cargo area of a vehicle.
Edge Software Packages
Edge Insights for Industrial
- Enable concurrent time-series analysis and video workloads with ready-to-use containerized analytics.
- Support acceleration and distribution on CPUs, GPUs, and VPUs.
- Manage application services from cloud to edge with over-the-air updates.
Edge Controls for Industrial (ECI)
- Provides a variety of deterministic real-time operating systems.
- Brings orchestration of software programmable logic controller (PLC) applications to the industrial edge with additional application management software.
- Enables cloud-to-edge manageability of application services with over-the-air updates.
Training
Industrial Architecture & Technical Training On Demand
This video series introduces you to Intel’s reference software stack for video and sensor analytics. Learn about the architecture and installation of a secure, scalable analytics system that combines time-series and video data to start your business analytics product or project.
Edge Insights
Presentations from in-person and online trainings cover the latest industry topics including how to:
- Deploy analytics pipelines that use video and time-series data
- Scale video analytics systems for factories
- Manage large-scale computer video deployments
Industrial Developer Kits
These kits can be used to develop, optimize, and analyze multiple video streams, inference at the edge, and high-performance computer vision applications.
Tools
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.
Go to Market
If you are an independent software vendor (ISV), system integrator (SI), or technology company creating an application using the Intel® Distribution of OpenVINO™ toolkit, or if you have already launched a commercial application, you could be eligible for:
- Comarketing opportunities
- Inclusion in the Partners and Solutions Catalog
- Invitations to virtual workshops
- Access to application experts
- Access to the Intel® Developer Cloud
Intel® oneAPI Base & IoT Toolkit
The combination of Intel® oneAPI Base Toolkit (Base Kit) and Intel® oneAPI IoT Toolkit (IoT Kit) provides a core set of high-performance build tools, libraries, and analysis tools to simplify IoT system design, development, and deployment across CPU, GPU, FPGA, and other accelerator architectures that run at the network’s edge.
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