Intel® Edge Software Hub

Download prevalidated software to learn, develop, and test your solutions for the edge.

Use Cases and Reference Implementations

Download a reference implementation that includes preconfigured software necessary to build a complete sample application. Select use cases to see real-world applications for the edge.

Reference Implementation

Wireless Network-Ready Intelligent Traffic Management

Consolidate visual intelligence and wireless workloads at traffic intersections. This container is hosted in an Open Network Edge Services Software (OpenNESS) edge node, which contains the necessary software stacks to host a 5G RAN.

Documentation

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Reference Implementation

Intelligent Traffic Management 

Monitor traffic intersections via IP cameras to optimize traffic flow. Detect vehicles and pedestrians, record vehicle types and counts, calculate velocity and acceleration, and more.

Documentation

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Reference Implementation

Fleet Driver Assistance

Use computer vision to monitor driver behavior and alertness. Provide real-time alerts to the driver and fleet manager, plus long-term analytics about drivers, vehicles, and routes.

Documentation

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Reference Implementation

Automated Checkout 

Use computer vision to detect products that are removed from a cooler or cabinet without the mechanical pusher or robotic arms.

Documentation

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Reference Implementation

Real-Time Sensor Fusion for Loss Prevention

Combine data from point-of-sale systems, scales, cameras, and RFID readers to prevent loss at checkout.

Documentation

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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

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Use Case

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

Human Wellness Monitoring 

Apply deep learning models to medical imaging datasets to detect disease and predict the probability of infection.

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Use Case

Intelligent Transportation Systems 

Create innovative solutions for transportation, public safety, and sustainability using video analytics, computer vision, and deep learning algorithms.

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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

Network Video Recorder

Integrate video streams from a variety of edge devices into computer vision applications.

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Use Case

Operational Efficiency and Safety 

Increase supply efficiency and worker safety in industrial environments.

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Use Case

Precision Medicine

Apply predictive models to genomics data collected from networked labs to identify interventions tailored to individual patients.

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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

Store Traffic Analytics

Gain insight into consumer behavior by using computer vision models to identify patterns in customer volume and flow.

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Edge Insights for Vision

Deploy and optimize computer vision and deep learning workloads. Run multiple inference workloads on a single chip. Implement as a containerized architecture or stand-alone runtime.

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Documentation

Edge Insights for Industrial

Integrate video and time-series data analytics on edge compute nodes. Run concurrent workloads on ready-to-use containerized analytics pipelines. Support acceleration and distribution of video analytics on CPUs, GPUs, and VPUs.

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Documentation

Converged Edge Insights

Build edge applications for next-generation networks, including 5G. This package makes it easy to configure the OpenNESS toolkit for on-premises or network edge deployments. Create applications that run on your choice of cloud framework on networks managed by any service provider.

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Documentation