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
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.
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.