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
“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI
Mark Antonelli, CTO at Boston.AI presents “What We Learned Porting to OpenCV 5 with Claude Code” at the May 2026 Embedded Vision Summit. OpenCV 5 introduces significant architectural changes to improve vision performance and better
Gemma 4 on Arm: Accessible, Immediate, Optimized On-device AI to Accelerate the Mobile App Experience
Gemma 4 on Arm brings fast, privacy-preserving, power-efficient AI directly onto Android devices, helping developers deliver richer real-time app experiences to billions of users without relying on the cloud. This blog post was originally
Building High-Performance Data Paths: New Evaluation Platforms for AI and Vision Systems
Bringing AI and vision designs to life starts with reliable data movement. Learn how our latest evaluation kits help engineers prototype imaging and networking paths early, reduce design risk and move from concept to working
“Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow,” a Presentation from AMD
Thomas Zerbs, Technical Marketing Engineer, Adaptive and Embedded Computing Group at AMD presents “Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow” at the May 2026 Embedded Vision Summit. In
Samsung Foundry and Cadence: Accelerating Chiplet Solutions for Physical AI
This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Artificial Intelligence (AI) is rapidly expanding beyond digital environments and into the physical world. AI-driven
Analog Devices to Acquire Empower Semiconductor, Expanding its Next-Generation High-Density Power Portfolio for the AI Era
Key Takeaways: Addresses a critical challenge in AI – delivering high-density, energy-efficient compute as power and thermal demands limit system scale Further advances ADI’s position as a leading strategic, system-level grid-to-core power partner for hyperscalers
e-con Systems to Showcase AI-Powered Smart Cameras and Urban Mobility Vision Solutions at ITS America Conference & Expo 2026
Live demos showcasing high-accuracy ALPR, AI-powered traffic analytics, and cloud-based traffic video management solutions for Vision Zero initiatives California & Chennai (May 27, 2026): e-con Systems®, a global leader in embedded vision solutions, will
“Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs,” a Presentation from AMD
Alok Gupta, Senior Technical Marketing Manager at AMD presents “Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs” at the May 2026 Embedded Vision Summit. Discover how AMD’s ROCm software stack unlocks data
The Software Gap Holding AI Back: What Semiconductor Leaders Can Learn From the EV Transition
This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. The story of EV adoption contains a warning that semiconductor companies would be wise to take seriously. When the automotive
Technologies
“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI
Mark Antonelli, CTO at Boston.AI presents “What We Learned Porting to OpenCV 5 with Claude Code” at the May 2026 Embedded Vision Summit. OpenCV 5 introduces significant architectural changes to improve vision performance and better utilize modern hardware. In addition to support for new features like vision-language models, there are… “What We Learned Porting to
Gemma 4 on Arm: Accessible, Immediate, Optimized On-device AI to Accelerate the Mobile App Experience
Gemma 4 on Arm brings fast, privacy-preserving, power-efficient AI directly onto Android devices, helping developers deliver richer real-time app experiences to billions of users without relying on the cloud. This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Real-time assistance, seamless communication, and greater personalization are now baseline expectations for billions of smartphone
Building High-Performance Data Paths: New Evaluation Platforms for AI and Vision Systems
Bringing AI and vision designs to life starts with reliable data movement. Learn how our latest evaluation kits help engineers prototype imaging and networking paths early, reduce design risk and move from concept to working system faster. Microchip released two evaluation platforms designed to help developers prototype and benchmark data-intensive systems much earlier in
Applications
Gemma 4 on Arm: Accessible, Immediate, Optimized On-device AI to Accelerate the Mobile App Experience
Gemma 4 on Arm brings fast, privacy-preserving, power-efficient AI directly onto Android devices, helping developers deliver richer real-time app experiences to billions of users without relying on the cloud. This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Real-time assistance, seamless communication, and greater personalization are now baseline expectations for billions of smartphone
e-con Systems to Showcase AI-Powered Smart Cameras and Urban Mobility Vision Solutions at ITS America Conference & Expo 2026
Live demos showcasing high-accuracy ALPR, AI-powered traffic analytics, and cloud-based traffic video management solutions for Vision Zero initiatives California & Chennai (May 27, 2026): e-con Systems®, a global leader in embedded vision solutions, will showcase its latest Edge AI-powered Intelligent Transportation System (ITS) solutions at ITS America Conference & Expo 2026, taking place from
The Software Gap Holding AI Back: What Semiconductor Leaders Can Learn From the EV Transition
This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. The story of EV adoption contains a warning that semiconductor companies would be wise to take seriously. When the automotive industry made the leap from combustion engines to electric drivetrains, it discovered that a transformative technology is not enough on its own. The
Functions
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
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
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
