Sessions

2022 Embedded Vision Summit Sessions

Are Coming Soon!

What sets our conference apart from the rest? The content.

Our team at the Embedded Vision Summit goes to great lengths to curate talks on the most pressing current and future topics happening in the computer vision and visual AI space—all in an effort to help professionals solve real-world problems.

Check out our 2021 conference talks below to get a feel of what to expect in 2022.

Tracks

From Inference to Action: AI Beyond Pattern Recognition
By Professor Pieter Abbeel Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab

Keynote
Live + On-Demand
The Data-Driven Engineering Revolution
By Zach Shelby Co-founder and CEO, Edge Impulse

General Session
Live + On-Demand
Roundtable Discussion: For Vision and Edge AI, Are Today’s CPUs Really Old-School?
By Gary Brown Director of Edge AI Marketing, Intel, AJ Frazer VP Business Development, Agent Vi, Sheldon Fernandez CEO, DarwinAI

Live + On-Demand
Enabling Technologies
Automotive Vision Systems – What’s Growing, What’s Not, and Why?
By Ian Riches VP Automotive Practice and Director, Strategy Analytics

Live + On-Demand
Business Insights
Flexible ML Solutions with Lattice FPGAs
By Sreepada Hegade Senior Manager, ML Software and Solutions, Lattice Semiconductor

Live + On-Demand
Enabling Technologies
A New Adaptive Module for Vision AI at the Edge
By Chetan Khona Director, Industrial, Vision and Healthcare, Xilinx

Live + On-Demand
Enabling Technologies
5G and AI Transforming the Next Generation of Robotics
By Kishore Chakravadhanula Staff Product Manager, Qualcomm

Live + On-Demand
Enabling Technologies
Using Vision Systems to Enable Dynamic Workflows in Manufacturing
By Paul Turner Vice President Industry 4.0 Applications & Analytics, Stanley Black & Decker, Laila Partridge Managing Director, STANLEY+Techstars Accelerator

Live + On-Demand
Business Insights
Quickly Measure and Optimize Inference Performance Using Intel DevCloud for the Edge
By Corey Heath Software Engineer, Intel

Live + On-Demand
Enabling Technologies
Over-the-Shoulder Tutorial
Facing up to Bias
By Steve Teig CEO, Perceive

Live + On-Demand
Technical Insights
OpenVX 1.3: An Open Standard for Computer Vision Software Acceleration
By Kiriti Nagesh Gowda Staff Engineer, AMD

Live + On-Demand
Technical Insights
A Mask Detection Smart Camera Using the Nvidia Jetson Nano: System Architecture and Developer Experience
By Braulio Ríos Machine Learning Engineer, Tryolabs, Evan Juras Computer Vision Engineer, BDTI

Live + On-Demand
Enabling Technologies
Streamlining Development of Edge AI Applications
By Barrie Mullins Director of Technical Product Marketing, NVIDIA

Live + On-Demand
Enabling Technologies
Robust Object Detection Under Dataset Shifts
By Partha Maji Principal Research Scientist, Arm Machine Learning Research Lab

Live + On-Demand
Technical Insights

What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G
By Ziad Asghar VP Product Management, Qualcomm

General Session
Live + On-Demand
SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI, and Multi-sensor Fusion for Contextually Aware Devices
By Gil Abraham Director of Business Development, Vision and AI Business Unit, CEVA

Live + On-Demand
Enabling Technologies
Fireside Chat: Why is Taking AI to Production So Difficult?
By Ken Mills CEO of Epic IO, IntelliSite & Broad Sky Networks, Matthew Formica Director, OpenVINO Product Marketing & Developer Evangelism, Intel, Aaron Tersteeg Global Sales Director for AI Edge Inference, Intel

Live + On-Demand
Enabling Technologies
IoT and Vision: Why It’s a Security Minefield and How to Navigate It
By Dr. Lyndon Fawcett Principal Software Security Architect, Arm

Live + On-Demand
Business Insights
Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications
By Dmitry Zakharchenko VP Research and Product Development, Blaize

Live + On-Demand
Enabling Technologies
Streamlining Development of Complete Edge AI Solutions via Customizable Reference Software – A Healthcare Use Case
By Vaghesh Patel Senior Software Developer, Intel, Adam Bishop Software Product Manager, Intel, Chen Su Product Marketing Engineer, Intel

Live + On-Demand
Enabling Technologies
Over-the-Shoulder Tutorial
High-Fidelity Conversion of Floating-Point Networks for Low-Precision Inference using Distillation with Limited Data
By James Imber Senior Research Engineer, Imagination Technologies

Live + On-Demand
Technical Insights
Object Detection and Dataset Labeling Using Colors of Manufactured Objects
By Ian Childers Head of Technology, Functional Coatings—Object Recognition, BASF

Live + On-Demand
Enabling Technologies
Productizing Complex Visual AI Systems for Autonomous Flight
By Carlo Dal Mutto Director of Engineering, Airbus

Live + On-Demand
Technical Insights
Vision and AI DSPs for Ultra-High-End and Always-On Applications
By Pulin Desai Group Director, Product Marketing, Cadence Design Systems

Live + On-Demand
Enabling Technologies
A Highly Data-Efficient Deep Learning Approach
By Patrick Bangert Vice President of AI, Samsung

Live + On-Demand
Technical Insights
From Start to Finish: Build Industrial Embedded ML Solutions on CPUs and MCUs
By Aurelien Lequertier Lead User Success Engineer, Edge Impulse

Live + On-Demand
Enabling Technologies
Over-the-Shoulder Tutorial
Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge
By Tim Hartley VP Product and Marketing, SeeChange Technologies Ltd (an Arm company)

Live + On-Demand
Business Insights
Tutorial: Using Laon People’s AI Machine Vision Tools to Develop Manufacturing Inspection Solutions
By Henry Sang Director of Business Development, LAON People

Live + On-Demand
Enabling Technologies
Over-the-Shoulder Tutorial

Fireside Chat: Shrinking Time to Market and Reducing Costs for Retail Using Intel DevCloud for the Edge
By Joe Mayberry Platform Manager for The Intel DevCloud for the Edge, Intel

Live + On-Demand
Enabling Technologies
Benchmarking Value in the Age of AI: Rational Decisions About Black Box Technology
By Chris Yates Director, Vision Ventures

Live + On-Demand
Business Insights
TinyML Isn’t Thinking Big Enough
By Steve Teig CEO, Perceive

Live + On-Demand
Enabling Technologies
Case Study: Facial Detection and Recognition for Always-On Applications
By Jamie Campbell Product Marketing Manager, Embedded Vision IP, Synopsys

Live + On-Demand
Enabling Technologies
Improving Nursing Care with Privacy-Sensitive Edge Computer Vision
By Harro Stokman Chief Executive Officer and Founder,Kepler Vision Technologies

Live + On-Demand
Business Insights
Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters
By Patrick Worfolk Senior Vice President and CTO, Synaptics

Live + On-Demand
Enabling Technologies
Accelerating Edge AI Solution Development with Pre-validated Hardware-Software Kits from Intel Partners
By Daniel Tsui Foundational Developer Kit Product Manager, Intel

Live + On-Demand
Enabling Technologies
Alternative Image Sensors for Intelligent In-Cabin Monitoring, Home Security and Smart Devices
By Petronel Bigioi CTO, Product Licensing Xperi Corporation

Live + On-Demand
Technical Insights
Is My Model Performing Well? It Depends…
By Vladimir Haltakov Self-Driving Car Engineer, BMW Group

Live + On-Demand
Technical Insights
Live Q&A with Keynote Speaker Professor Pieter Abbeel
By Professor Pieter Abbeel Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab

Keynote
Live + On-Demand
Vision Tank Start-Up Competition
By Shweta Shrivastava Senior Product Leader, Waymo, Oliver Gunasekara Independent Consultant, Simon Morris President, AstuteAnalysis Inc.

Live + On-Demand
How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy
By Marc Courtemanche Atlas Product Architect, Algolux

Live + On-Demand
Over-the-Shoulder Tutorial
Efficient Video Perception Through AI
By Fatih Porikli Senior Director, Technology, Qualcomm

Live + On-Demand
Enabling Technologies
Deploy an Autonomous Valet Parking Solution with Cameras Using AI
By Peter Lee CEO, VADAS, James Kim Marketing Team Leader, Nextchip

Live + On-Demand
Enabling Technologies
How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications
By Rakshit Agrawal Director of Research and Development, Camio

Live + On-Demand
Technical Insights

Productizing Edge AI Across Applications and Verticals: NEC Case Study and Insights
By Orr Danon CEO, Hailo, Tsvi Lev Managing Director of NEC Research Center Israel and Corporate Vice President, NEC

Live + On-Demand
Enabling Technologies
Fireside Chat: Performance, Ease of Development or Features: What Do Inferencing Software Developers Need Most?
By Soren Knudsen Lead Planner, OpenVINO Team, Intel, Raymond Lo OpenVINO Edge AI Software Evangelist, Intel

Live + On-Demand
Enabling Technologies
Intelligent Vision System for Grains
By Andrea Dunbar Sector Head Edge AI and Vision CSEM

Live + On-Demand
Technical Insights
Deploying Edge AI Solutions at Scale for the Internet of Things
By Megha Daga Director of Product Management for AI Enablement, Qualcomm

Live + On-Demand
Enabling Technologies
The Five Rights of an Edge AI Computer Vision System: Right Data, Right Time, Right Place, Right Decision, Right Action
By Toby McClean Vice President, AIoT Technology and Innovation, ADLINK Technology

Live + On-Demand
Business Insights
Using hxGraph and OpenCV to Implement Industrial Inspection Applications on the HyperX Processor
By Eugene Mezhibovsky Senior Systems Architect, Coherent Logix

Live + On-Demand
Enabling Technologies
Over-the-Shoulder Tutorial
Three Lessons Learned in Building a Successful AI Inferencing Toolkit—from the OpenVINO Architect
By Yury Gorbachev Senior Principal Engineer, Intel

Live + On-Demand
Enabling Technologies
Practical Guide to Implementing ML on Embedded Devices
By Nathan Kopp Principal Software Architect, Video Systems, Chamberlain Group, Inc.

Live + On-Demand
Technical Insights
The Fearless AI Challenge: Can You Quickly Deploy AI Inference to Billions of Devices?
By Raymond Lo OpenVINO Edge AI Software Evangelist, Intel

Live + On-Demand
Enabling Technologies
Over-the-Shoulder Tutorial
DepthAI: Embedded, Performant Spatial AI and CV
By Brandon Gilles CEO, Luxonis

Live + On-Demand
Enabling Technologies
Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach
By Felix Baum Director of Product Management, Qualcomm

Live + On-Demand
Enabling Technologies
Software-Defined Cameras for Edge Computing of the Future
By Parag Beeraka Head of Smart Camera and Vision Business, Arm

Live + On-Demand
Enabling Technologies
Computer Vision for the Built Environment
By David Greschler CEO, Nomad Go

Live + On-Demand
Business Insights
Can You Make Production ML Work Without Dozens of PhDs?
By Jason Lavene Senior Principal Architect, Keurig Dr. Pepper, Rob Oshana Vice President of Software R&D for Edge Processing, NXP, Christopher Rommel Executive Vice President, IoT & Industrial Technology, VDC Research, Zach Shelby Co-founder and CEO, Edge Impulse

Live + On-Demand
Business Insights
Panel Discussions
Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge
By Sakyasingha Dasgupta Founder and CEO, EdgeCortix

Live + On-Demand
Enabling Technologies
Over-the-Shoulder Tutorial
Efficient Deep Learning for 3D Point Cloud Understanding
By Bichen Wu Research Scientist, Facebook Reality Labs

Live + On-Demand
Technical Insights

10 Things You Must Know Before Designing Your Own Camera
By Alex Fink Camera Guy, Panopteo

On-Demand Only
Fundamentals
Introduction to Deep Learning for Image Understanding
By Zoran Sevarac Associate Professor, University of Belgrade / Deep Netts

On-Demand Only
Fundamentals
Tools and Strategies for Quickly Building Effective Image Datasets
By Evan Juras Computer Vision Engineer, BDTI

On-Demand Only
Fundamentals
The Transformation from Imaging to Sensing: Driving a Market Revolution
By Pierre Cambou Principal Analyst, Yole Developpement

On-Demand Only
Business Insights
Super Resolution on Resource Constrained Devices
By Marcus Edel Machine Learning Engineer, Collabora, Aaron Boxer Senior Software Developer, Collabora

On-Demand Only
Technical Insights
Secure Hardware Architecture for Embedded Vision
By Jonathan Cefalu CEO, NeuroBinder

On-Demand Only
Technical Insights
Person Re-Identification and Tracking at the Edge: Challenges and Techniques
By Morteza Biglari-Abhari Senior Lecturer, University of Auckland

On-Demand Only
Fundamentals
Optimizing ML Systems for Real-World Deployment
By Danielle Dean Technical Director of Machine Learning, iRobot

On-Demand Only
Fundamentals
Maintaining DNN Accuracy When the Real World is Changing
By Erik Chelstad CTO & Co-Founder, Observa

On-Demand Only
Fundamentals
Khronos Group Standards: Powering the Future of Embedded Vision
By Neil Trevett Vice President of Developer Ecosystems, NVIDIA and President of the Khronos Group

On-Demand Only
Technical Insights
Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision
By Sebastian Bauer Postdoctoral Student, University of Wisconsin – Madison

On-Demand Only
Technical Insights
Introduction to Simultaneous Localization and Mapping (SLAM)
By Gareth Cross Independent Video Game Developer

On-Demand Only
Fundamentals
Introduction to DNN Model Compression Techniques
By Sabina Pokhrel Customer Success AI Engineer, Xailient

On-Demand Only
Fundamentals
Interview: Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate
By Luke Murray Co-Founder and CTO, XYSense

On-Demand Only
Technical Insights
A Survey of CMOS Imagers and Lenses—and the Trade-offs You Should Consider
By Chris Osterwood Founder and CEO, Capable Robot Components

On-Demand Only
Fundamentals
Getting Started with Vision AI Model Training
By Ekaterina Sirazitdinova Data Scientist, NVIDIA

On-Demand Only
Fundamentals
Explainability in Computer Vision: A Machine Learning Engineer’s Overview
By Navaneeth Kamballur Kottayil Lead Machine Learning Developer, AltaML

On-Demand Only
Technical Insights
DNN Training Data: How to Know What You Need and How to Get It
By Abhishek Sharma Practice Head—Engineering AI, Tech Mahindra

On-Demand Only
Fundamentals
Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing
By Alexander Belugin Computer Vision Product Manager, NEDRA

On-Demand Only
Technical Insights
Deploying PyTorch Models for Real-time Inference On the Edge
By Moritz August CDO, Nomitri GmbH

On-Demand Only
Technical Insights
Data Collection in the Wild
By Vladimir Haltakov Self-Driving Car Engineer, BMW Group

On-Demand Only
Fundamentals
Challenges in Vision-Based Adaptive Traffic Control Systems
By Venkatesh Wadawadagi Solution Consultant, Sahaj Software Solutions

On-Demand Only
Technical Insights
Building the Eyes of a Vision System: From Photons to Bits
By Jon Stern Director of Optical Systems, GoPro

On-Demand Only
Fundamentals
Building an Autonomous Detect-and-Avoid System for Commercial Drones
By Alejandro Galindo Head of Research and Development, Iris Automation

On-Demand Only
Technical Insights
Automatic Calibration of Visual Inertial Sensors
By Ankur Gupta Lead Research Engineer - Online Calibration, Magic Leap

On-Demand Only
Technical Insights
Applying the Right Deep Learning Model with the Right Data for Your Application
By Hila Blecher-Segev Computer Vision and AI Research Associate, Vision Elements

On-Demand Only
Technical Insights
An Introduction to Data Augmentation Techniques in ML frameworks
By Rajy Rawther PMTS Software Architect, Advanced Micro Devices

On-Demand Only
Fundamentals
When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies
By Dinesh Balasubramaniam Senior Manager Product Marketing, Ambarella

On-Demand Only
Fundamentals

Sign Up to Get the Latest Updates on the Embedded Vision Summit Program

Learn about the newest speakers, sessions and other noteworthy details about the Summit Program by leaving us a few details.

It's all happening on May 17-19, 2022!

STAY CONNECTED
Follow us on Twitter and LinkedIn.

Stay updated on Summit news including speaker additions and session updates.

Privacy | Terms of use
Recent Posts
Embedded Vision SummitFollow
8h
Deadline extended! Share your expertise, raise your company’s profile and build brand awareness, introduce new products or connect with new customers and partners at the Summit. Info and entry: https://embeddedvisionsummit.com/call-proposals/ #computervision #mlengineer #machinelearning
Reply on Twitter 1467969172701282305 Retweet on Twitter 1467969172701282305 Like on Twitter 1467969172701282305
26 Oct
Join our lineup of expert speakers and share your insights with over 1400+ product creators, entrepreneurs and business decision-makers this May 17-19 in Santa Clara, CA! Learn more and submit your proposal! https://embeddedvisionsummit.com/call-proposals #EVS22 #machinevision #ML #computervision
Reply on Twitter 1453049032960458753 Retweet on Twitter 1453049032960458753 Like on Twitter 14530490329604587531
Load More...

Copyright 2021 Edge AI + Vision Alliance