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May 2022 Embedded Vision Summit Replay

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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

Keynote and General Sessions

“Event-Based Neuromorphic Perception and Computation: The Future of Sensing and AI,” a Keynote Presentation from Ryad Benosman

“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a Presentation from Qualcomm

“How Do We Enable Edge ML Everywhere? Data, Reliability and Silicon Flexibility,” a Presentation from Edge Impulse

Overview

May 2022 Embedded Vision Summit Slides

May 2022 Embedded Vision Summit Opening Remarks (May 17)

May 2022 Embedded Vision Summit Opening Remarks (May 18)

Business Insights

“Big Trends in Computer Vision for 2022: Health and Safety, Retail and Consumer Electronics,” a Presentation from Woodside Capital Partners

“The Automotive Driver Monitoring Market: What’s Happening? Why? What’s the Opportunity?,” a Presentation from Strategy Analytics

“The Market for Cameras and Video Doorbells in the Smart Home,” a Presentation from Strategy Analytics

“Ask the Ethicist: Your Questions about AI Privacy, Bias and Ethics Answered,” an Interview with Santa Clara University

“Privacy: A Surmountable Challenge for Computer Vision,” a Presentation from Santa Clara University

“Seeing the Future: 7 Decisions to Go from Idea to Successful Scale Business,” a Presentation from Nauto

“Instant Item Training: Practical AI for the Retail Industry,” a Presentation from Mashgin

“Focus on Value, Not Valuation: A Crash Course in VC Trends and Fundraising in 2022,” a Presentation from HPE Pathfinder

“The Future of Retail is Here, and It’s Powered by Embedded Computer Vision,” a Presentation from Grabango

“What Happens When Your Speed of AI Innovation Exceeds Your Ability to See the Regulatory Challenges Ahead?,” a Presentation from Dorsey & Whitney, LLP

“From ADAS to AD, Processor and Car Architecture Evolution,” a Presentation from Yole Développement

“Are Neuromorphic Vision Technologies Ready for Commercial Use?,” An Embedded Vision Summit Expert Panel Discussion

May 2022 Embedded Vision Summit Vision Tank Competition Finalist Presentations

“Building Embedded Vision Products: Management Lessons From The School of Hard Knocks,” a Presentation from the Edge AI and Vision Alliance

Enabling Technologies

“A New AI Platform Architecture for the Smart Toys of the Future,” a Presentation from Xperi

“Human-centric Computer Vision with Synthetic Data,” a Presentation from Unity Technologies

“Build Smarter, Safer and Efficient Autonomous Robots and Mobile Machines,” a Presentation from Texas Instruments

“Deploying Visual AI on Edge Devices: Lessons From the Real World,” a Presentation from Teledyne Imaging

“New Imager Modules and Tools Enable Bringing High-quality Vision Systems to Market Quickly,” a Presentation from onsemi

“Intelligent Vision for the Industrial, Automotive and IoT Edge with the i.MX 8M Plus Applications Processor,” a Presentation from NXP Semiconductors

“Creating Better Datasets for Training More Robust Models in FiftyOne,” a Presentation from Voxel51

“Accelerate All Your Algorithms with the quadric q16 Processor,” a Presentation from Quadric

“Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision,” a Presentation from Opteran Technologies

“Vision AI At the Edge: From Zero to Deployment Using Low-Code Development,” a Presentation from NVIDIA

“Accelerating the Creation of Custom, Production-Ready AI Models for Edge AI,” a Presentation from NVIDIA

“A Novel Packet-based Accelerator for Resource-Constrained Edge Devices,” a Presentation from Expedera

“NeuPro-M: A Highly Scalable, Heterogeneous and Secure Processor for High-performance AI/ML in Smart Edge Devices,” a Presentation from CEVA

“A Flexible Software Ecosystem and Marketplace for Hybrid AI Vision Solutions,” a Presentation from Basler

“Optimizing Camera Image Quality to Maximize Computer Vision Results,” a Presentation from Algolux

“Developing Sustainable Edge AI Products for the Real World,” a Presentation from Blaize

“How to Enhance Edge AI Vision with the Katana SoC Using Multi-Modal Sensing,” a Presentation from Synaptics

“Combining Ultra-low-power Proximity Sensing and Ranging to Enable New Applications,” a Presentation from STMicroelectronics

“Empower Your Edge Device Using NetsPresso – No AI Engineer Required,” a Presentation from Nota AI

“A Platform Approach to Developing Networked Visual AI Systems,” a Presentation from Network Optix

“Enable Spatial Understanding for Embedded/Edge Devices with DepthAI,” a Presentation from Luxonis

“Accelerate Tomorrow’s Models with Lattice FPGAs,” a Presentation from Lattice Semiconductor

“Taking Intelligent Video Analytics to the Next Level,” a Presentation from Hailo

“Designing the Next Ultra-Low-Power Always-On Solution,” a Presentation from Cadence

“TensorFlow Lite for Microcontrollers (TFLM): Recent Developments,” a Presentation from BDTI and Google

“Jumpstart Your Edge AI Vision Application with New Development Kits from Avnet,” a Presentation from Avnet

“Arm Cortex-M Series Processors Spark a New Era of Use Cases, Enabling Low-cost, Low-power Computer Vision and Machine Learning,” A Presentation from Arm

“Introducing the Kria Robotics Starter Kit: Robotics and Machine Vision for Smart Factories,” a Presentation from AMD

“Programming Vision Pipelines on AMD’s AI Engines,” a Presentation from AMD

“Is Your AI Data Pre-processing Fast Enough? Speed It Up Using rocAL,” a Presentation from AMD

“Optimization Techniques with Intel’s OpenVINO to Enhance Performance on Your Existing Hardware,” a Presentation from Intel

“Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform,” a Presentation from Intel

“High-Efficiency Edge Vision Processing Based on Dynamically Reconfigurable TPU Technology,” a Presentation from Flex Logix

“The Flex Logix InferX X1: Pairing Software and Hardware to Enable Edge Machine Learning,” a Presentation from Flex Logix

“The Future of AI is Here Today: Deep Dive into Qualcomm’s On-Device AI Offerings,” a Presentation from Qualcomm

“Autonomous Driving AI Workloads: Technology Trends and Optimization Strategies,” a Presentation from Qualcomm

“Tools for Creating Next-Gen Computer Vision Apps on Snapdragon,” a Presentation from Qualcomm

“Seamless Deployment of Multimedia and Machine Learning Applications at the Edge,” a Presentation from Qualcomm

“A Practical Guide to Getting the DNN Accuracy You Need and the Performance You Deserve,” a Presentation from Qualcomm

“FOMO: Real-Time Object Detection on Microcontrollers,” a Presentation from Edge Impulse

Fundamentals

“Ensuring Quality Data for Deep Learning in Varied Application Domains: Data Collection, Curation and Annotation,” a Presentation from Nemo @ Ridecell

“Selecting the Right Camera for Your Embedded Computer Vision Project,” a Presentation from Digital Sense

“12+ Image Quality Attributes that Impact Computer Vision,” a Presentation from Commonlands

“MLOps: Managing Data and Workflows for Efficient Model Development and Deployment,” a Presentation from Airbus

“Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications,” a Presentation from NVIDIA

“Understanding DNN-Based Object Detectors,” a Presentation from Au-Zone Technologies

“Introduction to Computer Vision with Convolutional Neural Networks,” a Presentation from Intel

Technical Insights

“Unifying Computer Vision and Natural Language Understanding for Autonomous Systems,” a Presentation from Verizon

“Compound CNNs for Improved Classification Accuracy,” a Presentation from Southern Illinois University Carbondale

“Strategies and Methods for Sensor Fusion,” a Presentation from Sensor Cortek

“Incorporating Continuous User Feedback to Achieve Product Longevity in Chaotic Environments,” a Presentation from Observa

“A Cost-Effective Approach to Modeling Object Interactions on the Edge,” a Presentation from Nemo @ Ridecell

“COVID-19 Safe Distancing Measures in Public Spaces with Edge AI,” a Presentation from the Government Technology Agency of Singapore

“Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding,” a Presentation from Google

“Responsible AI and ModelOps in Industry: Practical Challenges and Lessons Learned,” a Presentation from Fiddler AI

“Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers,” a Presentation from DSP Concepts

“System Imperatives for Audio and Video AI at the Edge,” a Presentation from Cisco

“Knowledge Distillation of Convolutional Neural Networks,” a Presentation from Bending Spoons

“Data Versioning: Towards Reproducibility in Machine Learning,” a Presentation from Tryolabs

“Open Standards: Powering the Future of Embedded Vision,” a Presentation from the Khronos Group

“How Transformers are Changing the Direction of Deep Learning Architectures,” a Presentation from Synopsys

“Embedded Vision in Robotics, Biotech and Education,” a Conversation with Dean Kamen

Demonstrations

Visionary.ai Demonstration of True Night Vision Technology

Roviero Demonstration of Future-proofing ASIC Designs with the CortiOne Premium NPU

OPENEDGES Technology Demonstration of 4-/8-bit Mixed-precision NPU IP for the Edge Environment

Lanner Electronics Demonstration of Edge AI Appliances for Intelligent Video Analytics

EYYES Demonstration of AI Technologies for a Safer World

Voxel51 Demonstration of Visual Dataset Management and Analysis with FiftyOne

Visidon Demonstration of a Driver Monitoring System Running On a Synopsys ARC EV7x Processor

Sensor Cortek Demonstration of Neural Network-Enhanced Radar Processing on the ARC VPX5 DSP

Renesas Demonstration of Object Recognition on a Battery-powered Vision AI Edge Device

Renesas Demonstration of MPU Evaluation Using the Vision AI Cloud Platform

Nextchip Demonstration of Analog HD Video Transmission for Automotive Cameras

Nextchip Demonstration of Its Deep Learning-based Edge Processor

MediaTek Demonstration of a Robotics Platform

MediaTek Demonstration of an AI-based Smart Shopping Basket

Deci Demonstration of How to Build State-of-the-art Computer Vision Models with Deci’s NAS Platform

Deci Demonstration of Real-time Object Detection on a NVIDIA Jetson SoC with DeciDet

Synaptics Demonstration of the High-performance Multi-core Katana Edge AI SoC

Synaptics Demonstration of Innovative AI-driven Fall Detection on the Katana SoC Platform

Synaptics Demonstration of Innovative AI-driven People Detection and Counting on the Katana Platform

STMicroelectronics Demonstration of a Power-efficient Wireless Link with the ST60 RF Transceiver

STMicroelectronics Demonstration of Laser Beam Scanning for AR Glasses and Beyond

STMicroelectronics Demonstration of Global Shutter Cameras and Time-of-Flight Technologies

Nota AI Demonstration of a NetsPresso-powered AI Solution for Intelligent Transportation Systems

Nota AI Demonstration of a NetsPresso-powered AI solution for Driving Monitoring Systems

Nota AI Demonstration of How to Optimize an AI Model

Network Optix Demonstration of the Nx Metadata SDK, a Plugin-based Approach to Video Management

Network Optix Demonstration of Building AI-enabled Edge Video Devices with Nx Meta

Network Optix Demonstration of the Nx Meta Video Platform as a Service

Luxonis Demonstration of Point-load ROS Visualization and Object Detection

Luxonis Demonstration of Real-time Object Detection

Luxonis Demonstration of Landmark Detection via Handtracking

Lattice Semiconductor Demonstration of a Driver Monitoring System

Lattice Semiconductor Demonstration of 3D Attention Sensing

Lattice Semiconductor Demonstration of Attention-sensing User Experiences on a Production Laptop

Hailo Demonstration of Real-time Depth Estimation and Object Detection with a Mono Camera

Hailo Demonstration of Accurate License Plate Recognition for High-speed Moving Vehicles

Hailo Demonstration of Its New Hailo-8 Century Evaluation Platform

Cadence Demonstration of Powering Next-gen On-device Edge AI Using a Turnkey AI Accelerator Solution

Cadence Demonstration of Real-time Visual SLAM for Embedded Devices

Cadence Demonstration of Ultra-low Power Always-on Applications on the Tensilica Vision P1 DSP

Visidon Demonstration of Depth Estimate and Bokeh for Video Conferencing

Unikie Demonstration of AI-enabled Real-time Situational Awareness and Smart Spaces

Silo AI Introduction to the Company and Its Capabilities

Avnet Demonstration of Vision AI Acceleration Using the Renesas RZ/V2L Processor

Avnet Demonstration of Lighting-fast Stereo Facial Recognition with NXP’s i.MX 8M Plus

Avnet Demonstration of Low-cost, High Performance Machine Vision Using AMD’s Zynq Ultrascale+

Arrow Electronics Demonstration of onsemi Imaging Solutions for Embedded and Edge Applications

Alif Semiconductor Demonstration of Practical Accelerated AI on Ensemble Microcontrollers

Arm Demonstration of an Upcoming Arm-Mali ISP

Arm Demonstration of Write Once, Deploy Anywhere

AMD Demonstration of Kria Robotics Perception

AMD Demonstration of the Kria App Store

AMD Demonstration of Kria Machine Vision

Zeblok Computational Demonstration of Autonomous Multi-cloud to Edge ML DevOps

Vy Corporation Demonstration of Faster Convergence Using Understandable AI

Thundersoft Demonstration of Its Turbo X EB4 Edge AI Box

Flex Logix Demonstration of the InferX X1M M.2 Card Running Multi-camera Object Detection

Flex Logix Demonstration of the InferX X1P1 Running Hardhat Detection with High Speed and Accuracy

Edge Impulse Demonstration of Wildlife Monitoring with Sony Spresense

Edge Impulse Demonstration of Screw and Washer Detection with FOMO

Edge Impulse Demonstration of Face Detection with FOMO and Alif Semiconductor’s Ensemble MCU

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