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
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
Intel Core Ultra Series 3: The New Standard for Edge AI Robotics Compute
By integrating a CPU, GPU, and NPU, Intel Core Ultra Series 3 delivers edge AI power across global use cases—from hospitality and manufacturing to healthcare and education. At 2 a.m., an emergency room nurse orders
“Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices,” a Presentation from Ambarella
Pietro Antonio Cicalese, Senior Technical Marketing Engineer at Ambarella, presents “Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices” at the May 2026 Embedded Vision Summit. Coding agents are usually built as cloud-first abstractions. But
Technologies
Free Webinar Explores Porting to OpenCV 5 with Claude Code
On August 13, 2026 at 9 am PT (noon ET), Boston AI’s Mark Antonelli, CTO of Boston AI, will present the free hour webinar “What We Learned Porting to OpenCV 5 with Claude Code,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: OpenCV 5 introduces significant architectural
Free Webinar Highlights Compelling Advantages of Synthetic Data
On August 11, 2026 at 9 am PT (noon ET), Synetic AI’s Founder and CEO David Scott, will present the free hour webinar “Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Most edge vision deployments fail
Upcoming Webinar on Real-Time Perception and the Role of FPGAs
On July 25, 2026, at 1:00 pm PDT (4:00 pm EDT) Lattice Semiconductor will deliver a webinar “The Future of Robotics: Real-Time Perception, Edge AI, & the Role of FPGAs” From the event page: As robotics systems evolve from traditional automation to intelligent, perception-driven platforms, new architectural considerations are emerging around real-time sensing, data processing,
Applications
Upcoming Webinar on Real-Time Perception and the Role of FPGAs
On July 25, 2026, at 1:00 pm PDT (4:00 pm EDT) Lattice Semiconductor will deliver a webinar “The Future of Robotics: Real-Time Perception, Edge AI, & the Role of FPGAs” From the event page: As robotics systems evolve from traditional automation to intelligent, perception-driven platforms, new architectural considerations are emerging around real-time sensing, data processing,
“Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform,” a Presentation from Qualcomm Technologies, Inc.
Olivier Bloch, Director of Developer Relations at Qualcomm Technologies, Inc. presents “Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform” at the May 2026 Embedded Vision Summit. Scaling physical AI breaks at production: prototypes work, then teams rewrite everything for incompatible SDKs, models and control stacks. The core issue is… “Democratizing Physical AI: Arduino’s Open
Why Multi-Robot Autonomous Mapping Is Becoming Essential for Large-Scale Facilities (Part 1)
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. For years, facility digitization has relied on a single, expensive robot slowly traversing every corridor of a warehouse, laboratory, or industrial plant. While effective, this approach is linear, which clashes with the fact that facilities are
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
