Intel® Edge Software Hub
Download prevalidated software to learn, develop, and test your solutions for the edge.
Fast-Track Your Development
Experiment, test, and create—all with less prework. Our software packages and offerings make it simple to optimize edge solutions, including computer vision and deep learning applications, for Intel® architecture.
Set your objectives and ramp up quickly. Choose your architecture type and then select from Intel, third-party, or open-source software. Use containers, run multiple workloads on a single converged edge system, and manage data flow between sensors and applications. Whether building from scratch or customizing a ready-made reference implementation, we offer helpful resources to accelerate your development.
Use Cases and Reference Implementations
Real-Time Sensor Fusion for Loss Detection
Last Updated: 06/08/2021
Learn to combine data from multiple sensors to verify objects in a retail self-checkout example.
Social Distancing for Retail Settings
Last Updated: 06/02/2021
Use video analytics solutions based on Intel® Distribution of OpenVINO™ toolkit models to support retail settings for pandemic scenarios, helping to reduce public health risks.
Patient Fall Monitoring and Prevention in Hospitals
Last Updated: 06/02/2021
Create an Artificial Intelligence (AI) based alert that notifies staff if a medical patient is at risk of falling. Use IP cameras to detect and monitor patient positions and track fall potential.
Industrial Surface Defect Detection
Last Updated: 05/19/2021
Use a segmentation model and computer vision algorithms optimized by the Intel® Distribution of OpenVINO™ toolkit to segment defects on a surface, improving quality assurance accuracy.
Connect Edge Devices to Microsoft Azure* IoT
Last Updated: 05/18/2021
Install a web-based application to help securely connect devices to Azure IoT*. You are responsible for payment of all third-party charges, including payment for use of Microsoft Azure* services.
Industrial Text Line Recognition
Last Updated: 05/14/2021
Use deep learning-based computer vision algorithms optimized by the Intel® Distribution of OpenVINO™ toolkit to detect and recognize characters of printed text lines in an industrial scenario.
Universal Wellpad Controller
Last Updated: 04/15/2021
Use an open application reference middleware to accelerate software modernization strategies for Process Control and Process Optimization in the upstream oil and gas industry.
Intelligent Traffic Management
Last Updated: 04/07/2021
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.
Rotor Bearing Defect Detector
Last Updated: 04/07/2021
Predict performance issues with manufacturing equipment. Perform local or cloud analytics on any issues found and predict when failures might arise.
Driver Management
Last Updated: 04/07/2021
Use computer vision, deep learning, and edge networking to develop a solution for managing driver behavior and alertness.
Automated Checkout
Last Updated: 04/07/2021
Use computer vision and sensors to detect products removed from a cooler or cabinet, count inventory, identify the need for maintenance, and more.
Wireless Network-Ready PCB Defect Detection
Last Updated: 04/07/2021
Deploy industrial AI application for product quality checks using OpenNESS platform. Includes support for two types of defect detection.
Edge Software Packages
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.
Edge Insights for Industrial (EII)
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.
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.
Edge Controls for Industrial (ECI)
Accelerate the transformation of industrial control systems to software-defined solutions. This software reference platform with compatible hardware integrates real-time compute, standards-based connectivity, safety, virtualization, and IT-like management.
Core Components of Edge Software
Intel® Edge Software Configurator (Intel® ESC)
Create, configure, and optimize container and virtual machine workload performance at the edge. Manage them more easily using a graphical interface as well as performance statistics visualization. You can deploy selected configuration profiles to multiple edge nodes, monitor performance over time, and fine-tune configurations with many iterations.
Intel® Distribution of OpenVINO™ Toolkit
Optimize the performance of deep learning inferencing at the edge. Extend AI and computer vision workloads across multiple types of Intel® hardware, including CPUs, GPUs, and VPUs.
Open Network Edge Services Software (OpenNESS)
Simplify the development and deployment of edge applications for 5G and next generation networks with this open-source, multi-access edge computing (MEC) software toolkit.
EdgeX Foundry*
Use this common framework for data and communications between devices and applications at the IoT edge. Monitor physical world items, send instructions to them, and collect data from them for aggregation, analysis, and action.
Edge Hardware and Devices
View recommended hardware and devices optimized for these software packages.
Recommended Hardware
Intel provides a growing portfolio of hardware for the edge. This list of hardware and devices have been lab tested to deliver optimized power and performance with Intel software packages.
Hardware Qualification
Original device and equipment manufacturers (ODMs and OEMs) can learn how to include devices in our recommended hardware program for the Edge Software Hub.