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
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
Textile Defect Classifier
Use classification models and computer vision algorithms, optimized by Intel® Distribution of OpenVINO™ toolkit, to identify defects in a textile manufacturing or printing facility to improve the accuracy of quality assurance.
Reference Implementation
Social Distancing Detection for Retail Settings
Create an end-to-end pipeline to detect social distancing, a COVID-19 preventive measure. Apply deep learning models from the Intel® Distribution of OpenVINO™ toolkit to measure the distance between people based on the input from multiple camera feeds.
Reference Implementation
Intel® Connected Logistics Platform (Intel® CLP)
Use battery-operated, smart wireless sensor devices at the edge that communicate to mobile or stationary gateways with cloud connectivity and provide real-time visibility into the location, condition, and security of an asset.
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.
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.
Reference Implementation
Driver Management
Use computer vision, deep learning, and edge networking to develop a solution for managing driver behavior and alertness. Provide real-time alerts to the driver and fleet manager, plus long-term analytics about drivers, vehicles, and routes.
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.
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.
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.
Use Case
Connect Edge Devices to Microsoft Azure* IoT
Simplify Azure* IoT Edge deployments. Install a web-based application that provides an out-of-box experience to securely connect your Intel device to Microsoft Azure* IoT Hub and Azure* IoT Central. Create resources and enable configuration and monitoring of edge AI and use case deployments.
You are responsible for payment of all third-party charges, including payment for use of Microsoft Azure* services.
Use Case
Universal Wellpad Controller
Use an open application reference middleware to accelerate software modernization strategies for Process Control and Process Optimization in the upstream oil and gas industry. Add new protocols, data analysis, and other capabilities to meet specific application needs.
Use Case
Amazon Web Services (AWS)* Cloud to Edge Pipeline
Single-click deployment of a ready-to-use cloud to edge inferencing pipeline that uses AWS IoT Greengrass and OpenVINO™ toolkit on the edge, and AWS IoT in the cloud. Includes sample AWS IoT Greengrass Lambda for image classification and object detection.
You are responsible for payment of all third-party charges, including payment for use of Amazon Web Services (AWS).
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
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.
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.