Edge Insights for Vision

Deploy computer vision and deep learning workloads at the edge with prevalidated software components.

Software Architecture

Edge Insights for Vision is a set of pre-validated modules, implemented as a containerized architecture or a stand-alone runtime. The package features third-party modules for orchestration and cloud support, and the Intel® Distribution of OpenVINO™ toolkit for deploying computer vision and deep learning workloads at the edge.

Reference Implementation

Multicamera Detection of Social Distancing 

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 input from multiple camera feeds. 

Documentation

Configure & Download

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

Configure & Download

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.

Documentation

Configure & Download

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

Configure & Download

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

Configure & Download

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 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.​

Documentation

Configure & Download

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).

Documentation

Configure & Download

Documentation

How It Works

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

Get Started

Instructions for installing the software and validating the installation.

Tutorials

Step-by-step examples to familiarize you with the software's core functionality.

IEI* TANK AIoT Developer Kit

This industrial-ready workstation features Intel® Core™ i5 and i7 processors.

Learn More

Uzel Bluzer Developer Kit

This developer kit features Intel Core i5 and i7 processors. This system is only available for purchase in China.

Learn More

UP Squared* AI Vision X Developer Kit

Offload AI workloads to VPU with 8th generation Intel Core and Celeron® processors.

Learn More

Hardware Qualification

Original device and equipment manufacturers (ODMs and OEMs) can learn how to include devices in our recommended hardware program or the Edge Software Hub.

Learn More