Resources

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

Why On-device AI Matters

This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Hello! I’m Minwoo Son from ENERZAi’s Business Development team. Through several posts so far, we’ve shared ENERZAi’s

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Technologies

Automotive

From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 2)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways How urban lighting and motion define robotaxi imaging needs Which camera features support reliable perception during day and night operation Why unified AI vision boxes reduce latency and coordination gaps How integrated vision platforms

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Accelerating Product Development in the Era of Physical AI

This video was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The embedded world is undergoing its biggest transformation in a generation. AI workloads are now moving into the physical world — into cameras, robots, tractors, and drones — and edge devices are evolving into intelligent agents. Yet the

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Airy3D

Airy3D and Lattice to Showcase Compact, Integrated Humanoid and Robotic 3D Vision Demo at Embedded World 2026

Montreal, Canada — March 4, 2026 — Airy3D today announced a joint demonstration with Lattice Semiconductor highlighting a compact and compute-efficient 3D vision solution for humanoids and advanced robotics, which will be on display at Embedded World 2026. The demo combines Airy3D’s DepthIQ™ technology with a compact, low-power Lattice CrossLink™-NX FPGA to enable high-quality depth

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Applications

Automotive

From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 2)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways How urban lighting and motion define robotaxi imaging needs Which camera features support reliable perception during day and night operation Why unified AI vision boxes reduce latency and coordination gaps How integrated vision platforms

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Market Analysis

Which Service Robots Will Dominate the Market in the Next 10 Years?

Logistics robots and cleaning robots both benefit from high market demand and relatively low technical barriers, compared to kitchen and restaurant robots or underwater robots. Source: Service Robots 2026-2036: Technologies, Players and Markets This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. The service robotics industry has grown

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Automotive

From ADAS to Robotaxi: How to Overcome the Major Vision Challenges

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways Why does robotaxi vision need more than task-driven ADAS sensing? Impact of long-duty operation and changing lighting on perception reliability Challenges faced across vehicles, cities, and operating conditions How visual data continuity affects

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Functions

Algorithms & Models

AI On: 3 Ways to Bring Agentic AI to Computer Vision Applications

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Learn how to integrate vision language models into video analytics applications, from AI-powered search to fully automated video analysis. Today’s computer vision systems excel at identifying what happens in physical spaces and processes, but lack the abilities to explain the

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Algorithms & Models

SAM3: A New Era for Open‑Vocabulary Segmentation and Edge AI

Quality training data – especially segmented visual data – is a cornerstone of building robust vision models. Meta’s recently announced Segment Anything Model 3 (SAM3) arrives as a potential game-changer in this domain. SAM3 is a unified model that can detect, segment, and even track objects in images and videos using both text and visual

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Biometrics

TLens vs VCM Autofocus Technology

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, we’ll walk you through how TLens technology differs from traditional VCM autofocus, how TLens combined with e-con Systems’ Tinte ISP enhances camera performance, key advantages of TLens over mechanical autofocus systems, and applications

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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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