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May 2025 Embedded Vision Summit Replay

Welcome to the May 2025 Embedded Vision Summit Replay page, a compilation of all to-date published content from the 2025 Summit! Please revisit this page in the coming months as additional 2025 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

“Edge AI and Vision at Scale: What’s Real, What’s Next, What’s Missing?,” An Embedded Vision Summit Expert Panel Discussion

“The Future of Visual AI: Efficient Multimodal Intelligence,” a Keynote Presentation from Trevor Darrell

Overview

“A View From the 2025 Embedded Vision Summit (Part 1),” a Presentation from the Edge AI and Vision Alliance

“A View From the 2025 Embedded Vision Summit (Part 2),” a Presentation from the Edge AI and Vision Alliance

Business Insights

“Three Big Topics in Autonomous Driving and ADAS,” an Interview with Valeo

“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture

“Virtual Reality, Machine Learning and Biosensing Advances Converging to Transform Healthcare and Beyond,” an Interview with Stanford University

“SKAIVISION: Transforming Automotive Dealerships with Computer Vision,” a Presentation from SKAIVISION

“Real-world Deployment of Mobile Material Handling Robotics in the Supply Chain,” a Presentation from Pickle Robot Company

“Scaling Artificial Intelligence and Computer Vision for Conservation,” a Presentation from The Nature Conservancy

“Deep Sentinel: Lessons Learned Building, Operating and Scaling an Edge AI Computer Vision Company,” a Presentation from Deep Sentinel

“Using Computer Vision for Early Detection of Cognitive Decline via Sleep-wake Data,” a Presentation from AI Tensors

“AI-powered Scouting: Democratizing Talent Discovery in Sports,” a Presentation from ai.io

“Vision-based Aircraft Functions for Autonomous Flight Systems,” a Presentation from Acubed (an Airbus Innovation Center)

“Technology and Market Trends in CMOS Image Sensors,” an Interview with the Yole Group

“A New Era of 3D Sensing: Transforming Industries and Creating Opportunities,” a Presentation from the Yole Group

“LLMs and VLMs for Regulatory Compliance, Quality Control and Safety Applications,” a Presentation from Camio

Enabling Technologies

“NPU IP Hardware Shaped Through Software and Use-case Analysis,” a Presentation from Ceva

“Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-cost Hardware,” a Presentation from Useful Sensors

“Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing,” a Presentation from Tryolabs and the Nature Conservancy

“Squinting Vision Pipelines: Detecting and Correcting Errors in Vision Models at Runtime,” a Presentation from Squint AI

“ONNX and Python to C++: State-of-the-art Graph Compilation,” a Presentation from Quadric

“Beyond the Demo: Turning Computer Vision Prototypes into Scalable, Cost-effective Solutions,” a Presentation from Plainsight Technologies

“Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, TensorFlow and Numpy,” a Presentation from OpenMV

“Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accelerators,” a Presentation from NXP Semiconductors

“A Re-imagination of Embedded Vision System Design,” a Presentation from Imagination Technologies

“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation from FotoNation

“Evolving Inference Processor Software Stacks to Support LLMs,” a Presentation from Expedera

“Efficiently Registering Depth and RGB Images,” a Presentation from eInfochips

“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic

“Image Tokenization for Distributed Neural Cascades,” a Presentation from Google and VeriSilicon

“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys

“Bridging the Gap: Streamlining the Process of Deploying AI onto Processors,” a Presentation from SqueezeBits

“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,” a Presentation from Sony Semiconductor Solutions

“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Presentation from Micron

“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,” a Presentation from Lattice Semiconductor

“Solving Tomorrow’s AI Problems Today with Cadence’s Newest Processor,” a Presentation from Cadence

“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presentation from BrainChip

“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation from Qualcomm

“Rapid Development of AI-powered Embedded Vision Solutions—Without a Team of Experts,” a Presentation from Network Optix

“OAAX: One Standard for AI Vision on Any Compute Platform,” a Presentation from Network Optix

Fundamentals

“Object Detection Models: Balancing Speed, Accuracy and Efficiency,” a Presentation from Union.ai

“Introduction to DNN Training: Fundamentals, Process and Best Practices,” a Presentation from Think Circuits

“Introduction to Depth Sensing: Technologies, Trade-offs and Applications,” a Presentation from Think Circuits

“Transformer Networks: How They Work and Why They Matter,” a Presentation from Synthpop AI

“Understanding Human Activity from Visual Data,” a Presentation from Sportlogiq

“Specifying and Designing Cameras for Computer Vision Applications,” a Presentation from Etron Technology America

“Introduction to Deep Learning and Visual AI: Fundamentals and Architectures,” a Presentation from eBay

“Visual Search: Fine-grained Recognition with Embedding Models for the Edge,” a Presentation from Gimlet Labs

“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence

Technical Insights

“Toward Hardware-agnostic ADAS Implementations for Software-defined Vehicles,” a Presentation from Valeo

“Depth Estimation from Monocular Images Using Geometric Foundation Models,” a Presentation from Toyota Research Institute

“Multimodal Enterprise-scale Applications in the Generative AI Era,” a Presentation from Skyworks Solutions

“Developing a GStreamer-based Custom Camera System for Long-range Biometric Data Collection,” a Presentation from Oak Ridge National Laboratory

“A Lightweight Camera Stack for Edge AI,” a Presentation from Meta

“Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models,” a Presentation from LinkedIn Learning

“Deploying Accelerated ML and AI: The Role of Khronos Open Standards,” a Presentation from the Khronos Group

“Scaling Computer Vision at the Edge,” a Presentation from Invisible AI

“Scaling Machine Learning with Containers: Lessons Learned,” a Presentation from Instrumental

“Vision-language Models on the Edge,” a Presentation from Hugging Face

“Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration,” a Presentation from Google

“Building Agentic Applications for the Edge,” a Presentation from GMAC Intelligence

“Enabling Ego Vision Applications on Smart Eyewear Devices,” a Presentation from EssilorLuxottica

“Introduction to Knowledge Distillation: Smaller, Smarter AI Models for the Edge,” a Presentation from Deep Sentinel

“Introduction to Enhancing Data Quality for AI Success,” a Presentation from CVS Health

“Mastering the End-to-end Machine Learning Model Building Process: Best Practices and Pitfalls,” a Presentation from Caterpillar

“Strategies for Image Dataset Curation from High-volume Industrial IoT Data,” a Presentation from Brambles

“Taking Computer Vision Products from Prototype to Robust Product,” an Interview with Blue River Technology

“Improving Worksite Safety with AI-powered Perception,” a Presentation from Arcure

“Introduction to Designing with AI Agents,” a Presentation from Amazon Web Services

“Integrating Cameras with the Robot Operating System (ROS),” a Presentation from Amazon Lab126

“The New OpenCV 5.0: Added Features, Performance Improvements and Future Directions,” a Presentation from OpenCV.org

“Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization,” a Presentation from NXP Semiconductors

“Customizing Vision-language Models for Real-world Applications,” a Presentation from NVIDIA

“An Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advances,” a Presentation from the MIPI Alliance

“Optimizing Real-time SLAM Performance for Autonomous Robots with GPU Acceleration,” a Presentation from eInfochips

“Simplifying Portable Computer Vision with OpenVX 2.0,” a Presentation from AMD

“Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review,” a Presentation from AMD

“Introduction to Data Types for AI: Trade-offs and Trends,” a Presentation from Synopsys

Demonstrations

Sunex Demonstration of Three New Breakthrough Lens Products

Alif Semiconductor Demonstration of Face Detection and Driver Monitoring On a Battery, at the Edge

OpenMV Demonstration of the OpenMV Cam N6 and AE3

Inuitive Demonstration of On-camera SLAM, Depth and AI Using a NU4X00-based Sensor Module

Airy3D Demonstration of the Company’s Tiny but Mighty Passive Depth Sensing Technology and Products

STMicroelectronics Demonstration of Real-time Object Detection and Tracking

STMicroelectronics Demonstration of Real-time Multi-pose Detection

Nota AI Demonstration of Nota Vision Agent, Next-generation Video Monitoring at the Edge

Nota AI Demonstration of NetsPresso Optimization Studio, Streamlined with Visual Insights

Nextchip Demonstration of a High Definition Analog Video Solution Using STELLA5

Nextchip Demonstration of Various Computing Applications Using the Company’s ADAS SoC

Microchip Technology Demonstration of Real-time Object and Facial Recognition with Edge AI Platforms

Microchip Technology Demonstration of AI-powered Face ID on the Polarfire SoC FPGA Using the Vectorblox SDK

Chips&Media Demonstration of Its WAVE-N NPU In High-quality, High-resolution Imaging Applications

Chips&Media Introduction to Its WAVE-N Specialized Video Processing NPU IP

3LC Demonstration of Catching Synthetic Slip-ups with 3LC

3LC Demonstration of Debugging YOLO with 3LC’s Training-time Truth Detector

VeriSilicon Demonstration of a Partner Application In the iEVCam

VeriSilicon Demonstration of the Open Se Cura Project

VeriSilicon Demonstration of Advanced AR/VR Glasses Solutions

Synopsys Demonstration of Siengine’s AD1000 ADAS Chip, Powered by Synopsys NPX6 NPU IP

Synopsys and Visionary.ai Demonstration of a Low-light Real-time AI Video Denoiser Tailored for NPX6 NPU IP

Synopsys Demonstration of Smart Architectural Exploration for AI SoCs

SqueezeBits Demonstration of On-device LLM Inference, Running a 2.4B Parameter Model on the iPhone 14 Pro

Sony Semiconductor Demonstration of AI Vision Devices and Tools for Industrial Use Cases

Sony Semiconductor Demonstration of Its Open-source Edge AI Stack with the IMX500 Intelligent Sensor

Sony Semiconductor Demonstration of On-sensor YOLO Inference with the Sony IMX500 and Raspberry Pi

Namuga Vision Connectivity Demonstration of Compact Solid-state LiDAR for Automotive and Robotics Applications

Namuga Vision Connectivity Demonstration of an AI-powered Total Camera System for an Automotive Bus Solution

Namuga Vision Connectivity Demonstration of a Real-time Eye-tracking Camera Solution with a Glasses-free 3D Display

Micron Demonstration of Its Key Partner Enablement, Driving Solutions for AI and VLMs at the Edge

Micron Demonstration of Memory in Automotive: Great Things Come in Small Packages

Micron Demonstration of Memory in Artificial Intelligence: Leading from Performance to Safety

Teledyne FLIR Demonstration of an Advanced Thermal Imaging Camera Enabling Automotive Safety Improvements

Lattice Semiconductor Demonstration of NVIDIA Holoscan-compatible Cameras from Valued Partners

Lattice Semiconductor Demonstration of Random Bin Picking Based on Structured-Light 3D Scanning

Cadence Demonstration of Waveguide 4D Radar Central Computing on a Tensilica Vision DSP-based Platform

Cadence Demonstration of a SWIN Shifted Window Vision Transform on a Tensilica Vision DSP-based Platform

Aizip Demonstration of Its Personal Offline AI Assistant for Biking on a Cadence Tensilica HiFi DSP Platform

DeGirum Demonstration of Its PySDK Running on BrainChip Hardware for Real-time Edge AI

BrainChip Demonstration of LLM Inference On an FPGA at the Edge using the TENNs Framework

BrainChip Demonstration of Its Latest Audio AI Models in Action At the Edge

Network Optix Demonstration of How the Company is Powering Scalable Data-driven Video Infrastructure

Network Optix Demonstration of Seamless AI Model Integration with Nx AI Manager

Network Optix Demonstration of Extracting AI Model Data with AI Manager

Network Optix Overview of the Company’s Technologies, Products and Capabilities

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