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May 2026 Embedded Vision Summit Replay

Welcome to the May 2026 Embedded Vision Summit Replay page, a compilation of all to-date published content from the 2026 Summit! Please revisit this page in the coming months as additional 2026 Summit content is published and added here.

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Overview

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Business Insights

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Enabling Technologies

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Fundamentals

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Technical Insights

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Demonstrations

Keynotes and Expert Panel

Please revisit this page in the coming months as additional content is published and added here.

Overview

Please revisit this page in the coming months as additional content is published and added here.

Business Insights

Please revisit this page in the coming months as additional content is published and added here.

Enabling Technologies

“From Chips to Platforms: Scaling Edge AI with SoMs, Production Linux and Secure Life-Cycle Ops,” a Presentation from Peridio

“Building a Local Voice Agent on a Raspberry Pi,” a Presentation from Moonshine AI

“Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems,” a Presentation from Quadric

“How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU,” a Presentation from OpenMV

“COOL: Accelerating Computer Vision Workloads with Cloud Optimized OpenCV on AWS,” a Presentation from OpenCV.org, Amazon Web Services

“No RISC, No Reward: Unlocking Extreme Efficiency in Physical AI with RISC-V,” a Presentation from MIPS, a GlobalFoundries company

“Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture,” a Presentation from FotoNation

“From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs,” a Presentation from Expedera

“Navigating Physical AI Deployment Across Multiple Platforms for Automated Optical Inspection,” a Presentation from eInfochips (an Arrow company)

“One Silicon, Two Worlds: NPU Optimization for Autoregressive and Diffusion Transformers,” a Presentation from VeriSilicon

“Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” a Presentation from Synetic

“How Qualcomm Is Making Computer Vision Accessible Across Edge Verticals,” a Presentation from Qualcomm Technologies, Inc.

“Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform,” a Presentation from Qualcomm Technologies, Inc.

“Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality,” an Expert Panel

“From Prototype to Production: What Computer Vision Teams Wish They Knew at 100 Devices,” a Presentation from Peridio

“Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows,” a Presentation from Nota AI

“Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI,” a Presentation from Micron

“Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition,” a Presentation from Microchip Technology

“Invertible Light Technology: A Paradigm Shift for Depth Sensing,” a Presentation from MagikEye

“Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,” a Presentation from Lattice Semiconductor

“Why Your Next AI Accelerator Should Be an FPGA,” a Presentation from Efinix

“HiFi iQ: Enabling Voice AI and Immersive Audio for Smart Home, Mobile and Automotive,” a Presentation from Cadence

“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI

“Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow,” a Presentation from AMD

“Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs,” a Presentation from AMD

“Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices,” a Presentation from Ambarella

Fundamentals

“Vision-Language Models in Practice: Architecture and Performance,” a Presentation from AMD

Technical Insights

“Small Language Models for Edge AI: Trade-Offs and Quantization in Practice,” a Presentation from AMD

“From YOLO to SAM: Segmentation Models on Real Edge Hardware,” a Presentation from Au-Zone Technologies

Demonstrations

Synetic Demonstration of Synthetic Training Data for Computer Vision Edge Case Coverage

Synetic Demonstration of the LYNX SDK Beta: Real-Time CV Across Six Platforms in One Call

Synetic Demonstration of the LYNX Computer Vision SDK and Synthetic Data as a Service Platform

Qualitas Semiconductor – From High-Speed Interfaces to Silicon Validation

OpenMV Demonstration of Python-Programmable AI Vision with the N6, AE3, and OpenMV IDE

NovaEyeD: Real-Time Face Recognition on ST’s STM32N6

STMicroelectronics’ 3D direct ToF lidar module demo + Human detection application

Squint Cognition Demonstration of Squint Vision Studio: AI Tooling and Watchdogs for Vision Models

Squint Cognition Demonstration of Catching High-Confidence YOLO Errors in Real Time with Skittles

BrainChip Demonstration of the Company’s Always-On Radar-Based Edge Classification

BrainChip AKD1500 Edge AI Co-Processor Demo: Ultra-Low Power AI Inference at the Edge

Smarter Wildfire Datasets: Pruning Redundancy and Fixing Labels in 3LC

3LC Hub: Data Management and AI Insights for Computer Vision & Physical AI

Visionary.ai ISP Powered by NPX6

Custom Vision Accelerator (NVIDIA PVA) Built with ASIP Designer in Action

2.5 VL on NPX6 Silicon

Avocado OS x Grinn: Rapid Physical AI Development on Edge Vision Hardware

Avocado Connect: From Dev Kit to Production for Physical AI Fleets (with Advantech)

Device Infrastructure for Physical AI: Introducing Avocado OS

Nota AI Demonstration of LLM Acceleration on Mobilint NPU, Optimized with NetsPresso

Nota AI Demonstration of VLA Robotics on Dragonwing, Enhanced by NetsPresso

Nota AI Demonstration of NetsPresso Agentic Optimization Platform

NAMUGA Demonstration of the Stella120 and 180 – Wide-Angle Solid-State LiDAR Modules

NAMUGA Demonstration of Real-Time 3D Body Pose Tracking and Super Tele AF Module for Drones

NAMUGA Demonstration of the Vicon Smart Access Control System

Secure Edge AI, High-Speed Vision and Power-Efficient Design With VectorBlox™

Microchip Demonstrates Secure Edge AI Facial Recognition with Single-Camera Liveness Detection

Microchip’s Demonstration of an SDI-to-HDMI® Cross-Converter on PolarFire FPGAs

Real-Time Vision-Language Inference on AMD Radeon™ iGPU Using ROCm™

AMD Versal™ AI Edge Series Gen 2Hard ISP Featuring 12x Sensor Inputs

AI Agents on AMD – Secure Agent Computing at the Edge

The Eyes of Physical AI: Market Opportunities for MagikEye’s ILT Technology

Introducing ILT Pico: Compact Depth Sensing for Physical AI

MagikEye ILT Enables Real-Time Robot Navigation and Obstacle Avoidance

Smart Sensor Demo: On-Device Object Detection with Lattice CertusPro™-NX

Lattice FPGA Embedded Vision: Real-Time ISP Pipeline with Integrated Tuning Tool

Video over Ethernet on Lattice CrossLink™-NX FPGA: Microsecond Latency Demo

Mark Oliver Demonstrates AI Segmentation Accelerated in Hardware AI Accelerators on the FPGA Fabric

Mark Oliver Demonstrates the Power of Custom Instruction Acceleration for Edge AI

Mark Oliver Demonstrates Super Resolution on the Power-Efficient Efinix Titanium FPGAs

Cadence x MosChip Demo: On-Device SLM Voice Agent on a Vision DSP (Cloud-Free Conversational AI)

Vedya Labs Demonstration of Stable Diffusion Deployment on Cadence Tensilica DSPs

Bolom Sound Classification on Cadence Tensilica HiFi 5

Pulling Back the Curtain on a Smarter, More Connected AI Future

Insight Mirror: The mirror that sees you. The mirror that knows you. The mirror that talks back.

ILLIUM AI Demonstrates AI Machine Vision with LIDAR Precision

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