Edge Insights for Industrial

Integrate video and time-series data analytics on edge compute nodes for industrial use cases using prevalidated software components.

Overview

Ready-to-use containerized analytics pipelines allow concurrent time-series and video workloads.

Supports acceleration and distribution of video analytics on CPUs, GPUs, and VPUs.

Enables cloud-to-edge manageability of application services with over-the-air updates.

Software Architecture

Intel® Distribution of OpenVINO™ Toolkit

Develop and optimize AI and computer vision applications. The Intel® Distribution of OpenVINO™ toolkit maximizes performance and extends workloads across Intel® hardware, including accelerators.

Data Security Framework 

Prevent unauthorized data access with a two-stage process that relies on hardware-based security standards to protect certificates and configuration secrets.

Requires Ubuntu* Linux*

Recommended for Intel® Xeon® processors and 6th to 8th generation Intel® Core™ processors. Supports hardware acceleration on a CPU, iGPU, VPU, and the Intel® Neural Compute Stick 2.

Reference Implementation

Rotor Bearing Defect Detector

Predict performance issues with manufacturing equipment. Perform local or cloud analytics on any issues found and predict when failures might arise.

Documentation

Configure & Download

Use Case

Industrial Cloud to Edge AI

Leverage Microsoft Azure* Machine Learning to continuously retrain and improve accuracy or increase capabilities of edge inferencing models.

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Use Case

Machine Asset Monitoring and Control

Apply AI to process automation for better asset monitoring and control. Control processes with real-time capabilities and optimize process efficiency.

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Use Case

Compressor Leak and Surge Detection

Detect a compressor leak or surge by applying AI to time-series data. Identify surges that are against the direction of flow or an oscillating flow in both directions.

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Use Case

Electrical Fault Detection

Detect a fault or fault current in an electric power system.

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Use Case

Equipment Failure Detection

Apply machine learning to time-series data to detect potential equipment failures and provide recommended actions. Includes a prevalidated set of components in a ready-to-use, containerized architecture.

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Use Case

Manufacturing Productivity Optimization

Use video, analytics, and AI to monitor factory production, identify constraints, enhance worker safety, and improve overall factory production and efficiency.

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Use Case

Thermal Anomaly Detection

Overheating is a common manufacturing anomaly. Use AI and time-series data to detect a departure from a reference thermal value or long-term average.

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Use Case

Operational Efficiency and Safety

Increase supply efficiency and worker safety in industrial environments.

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Documentation

How It Works

Understand the components, services, architecture, and data flow in Edge Insights for Industrial.

Get Started

Access instructions for installing the software and validating the installation.

Tutorials

Follow step-by-step examples to become familiar with the core functionality of the software.

Recommended Hardware

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Advantech* EPC-C301 Developer Kit

This embedded AI system delivers high-performance computing on 8th generation Intel® Core™ processors.

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JWIPC iFactry Developer Kit

Deploy industrial-grade hardware and software in factories, warehouses, and manufacturing environments.

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IEI* TANK AIoT Developer Kit with Intel® Xeon® Processors

Create industrialized solutions with the performance of hardware accelerators and Intel® Xeon® processors.

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All Edge Software

The complete collection enables you to quickly deploy AI and machine learning applications at the edge with features like prevalidated components.

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