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Resources

In-depth information about the edge AI and vision applications, technologies, products, markets and trends.

The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.

All Resources

Technologies

Algorithms

“A Platform Approach to Developing Networked Visual AI Systems,” a Presentation from Network Optix

Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit. Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range… “A Platform Approach to Developing

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Algorithms

Neural Network Optimization with AIMET

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. To run neural networks efficiently at the edge on mobile, IoT, and other embedded devices, developers strive to optimize their machine learning (ML) models’ size and complexity while taking advantage of hardware acceleration for inference. For these

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Algorithms

“Enable Spatial Understanding for Embedded/Edge Devices with DepthAI,” a Presentation from Luxonis

Erik Kokalj, Director of Applications Engineering at Luxonis, presents the “Enable Spatial Understanding for Embedded/Edge Devices with DepthAI” tutorial at the May 2022 Embedded Vision Summit. Many systems need to understand not only what objects are nearby, but also where those objects are in the physical world. This is “spatial… “Enable Spatial Understanding for Embedded/Edge

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Applications

Algorithms

“A Platform Approach to Developing Networked Visual AI Systems,” a Presentation from Network Optix

Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit. Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range… “A Platform Approach to Developing

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Automotive

The LEC-2290: An Edge AI Appliance for Traffic Infraction Prevention

This blog post was originally published at Lanner Electronics’ website. It is reprinted here with the permission of Lanner Electronics. In dense urban environments where traffic flow is heavy, keeping up with traffic control and maintaining road safety at intersections with the heaviest traffic is often tricky as vehicles and pedestrians’ behaviors are erratic and

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IDS

uEye XC Closes the Market Gap Between Industrial Camera and Webcam

New 13 MP autofocus camera from IDS June 22, 2022 – With uEye XC, IDS Imaging Development Systems GmbH is launching an industrial camera with autofocus that is just as easy to operate as a webcam. Setting up and commissioning the 13 MP USB3 camera only requires a cable connection. It then immediately delivers high-resolution,

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Functions

Algorithms

“A Platform Approach to Developing Networked Visual AI Systems,” a Presentation from Network Optix

Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit. Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range… “A Platform Approach to Developing

Read More +
Algorithms

NVIDIA DeepStream Technical Deep Dive: Multi-object Tracker

This video was originally published at the NVIDIA Developer YouTube channel. It is reprinted here with the permission of NVIDIA. NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing, video, audio and image understanding. This video covers the fundamentals of NVIDIA’s new tracker unified architecture. From the video, you will: Learn

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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