Edge Insights for Vision

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

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

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

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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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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.

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Uzel Bluzer Developer Kit

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

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UP Squared* AI Vision X Developer Kit

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

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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.

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