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May 2021 Embedded Vision Summit Replay

Keynote and General Session

“Perspectives on AI Beyond Pattern Recognition,” an Alliance Interview with Pieter Abbeel

“From Inference to Action: AI Beyond Pattern Recognition,” a Keynote Presentation from Pieter Abbeel

“What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G,” a Presentation from Qualcomm

“The Data-Driven Engineering Revolution,” a Presentation from Edge Impulse

Overview

May 2021 Embedded Vision Summit Opening Remarks (May 25)

May 2021 Embedded Vision Summit Opening Remarks (May 26)

May 2021 Embedded Vision Summit Opening Remarks (May 27)

May 2021 Embedded Vision Summit Opening Remarks (May 28)

May 2021 Embedded Vision Summit Slides

Business Insights

“Automotive Vision – What’s Growing, What’s Not, and Why?,” a Presentation from Strategy Analytics

“Computer Vision for the Built Environment,” a Presentation from Nomad Go

“Improving Nursing Care with Privacy-Sensitive Edge Computer Vision,” a Presentation from Kepler Vision Technologies

“The Transformation from Imaging to Sensing: Driving a Market Revolution,” a Presentation from Yole Développement

“Benchmarking Value in the Age of AI: Rational Decisions About Black Box Technology,” a Presentation from Vision Ventures

“The Five Rights of an Edge AI Computer Vision System: Right Data, Right Time, Right Place, Right Decision, Right Action,” a Presentation from ADLINK Technology

“Using Vision Systems to Enable Dynamic Workflows in Manufacturing,” an Interview with Stanley Black & Decker

“Can You Make Production ML Work Without Dozens of PhDs?,” An Embedded Vision Summit Expert Panel Discussion

“Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge,” a Presentation from Arm

“IoT and Vision: Why It’s a Security Minefield and How to Navigate It,” a Presentation from Arm

Enabling Technologies

“A New Adaptive Module for Vision AI at the Edge,” a Presentation from Xilinx

“Case Study: Facial Detection and Recognition for Always-On Applications,” a Presentation from Synopsys

“Visual AI at the Edge: From Surveillance Cameras to People Counters,” a Presentation from Synaptics

“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIA

“Deploying an Autonomous Valet Parking Solution with Cameras Using AI,” a Presentation from Nextchip and VADAS

“DepthAI: Embedded, Performant Spatial AI and Computer Vision,” a Presentation from Luxonis

“Flexible Machine Learning Solutions with Lattice FPGAs,” a Presentation from Lattice Semiconductor

“Productizing Edge AI Across Applications and Verticals: Case Study and Insights,” a Presentation from Hailo and NEC

“SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI and Multi-sensor Fusion for Contextually Aware Devices,” a Presentation from CEVA

“Vision and AI DSPs for Ultra-High-End and Always-On Applications,” a Presentation from Cadence

“Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications,” a Presentation from Blaize

“A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience,” a Presentation from BDTI and Tryolabs

“Object Detection and Dataset Labeling Using Colors of Manufactured Objects,” a Presentation from BASF

“Software-Defined Cameras for Edge Computing of the Future,” a Presentation from Arm

“Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach,” a Presentation from Qualcomm

“Deploying Edge AI Solutions at Scale for the Internet of Things,” a Presentation from Qualcomm

“Efficient Video Perception Through AI,” a Presentation from Qualcomm

“5G and AI Transforming the Next Generation of Robotics,” a Presentation from Qualcomm

“Three Lessons Learned in Building a Successful AI Inferencing Toolkit—from the OpenVINO Architect,” a Presentation from Intel

“Performance, Ease of Development or Features: What Do Inferencing Software Developers Need Most?,” a Presentation from Intel

“Accelerating Edge AI Solution Development with Pre-validated Hardware-Software Kits from Intel Partners,” a Presentation from Intel

“For Vision and Edge AI, Are Today’s CPUs Really Old-School?,” a Presentation from Intel, Agent Vi and DarwinAI

“Shrinking Time to Market and Reducing Costs for Retail Using Intel DevCloud for the Edge,” a Presentation from Intel and Vispera

“Why is Taking AI to Production So Difficult?,” a Presentation from Intel and IntelliSite

Over the Shoulder

“Using LAON PEOPLE’s AI Machine Vision Tools to Develop Manufacturing Inspection Solutions,” a Presentation from LAON PEOPLE

“Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge,” a Presentation from EdgeCortix

“Using hxGraph and OpenCV to Implement Industrial Inspection Applications on the HyperX Processor,” a Presentation from Coherent Logix

“How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy,” a Presentation from Algolux

“The Fearless AI Challenge: Can You Quickly Deploy AI Inference to Billions of Devices?,” a Presentation from Intel

“Streamlining Development of Edge AI Solutions: A Healthcare Use Case,” a Presentation from Intel

“Quickly Measure and Optimize Inference Performance Using Intel DevCloud for the Edge,” a Presentation from Intel

“From Start to Finish: Build Industrial Embedded ML Solutions on CPUs and MCUs,” a Presentation from Edge Impulse

Fundamentals

“Person Re-Identification and Tracking at the Edge: Challenges and Techniques,” a Presentation from the University of Auckland

“DNN Training Data: How to Know What You Need and How to Get It,” a Presentation from Tech Mahindra

“10 Things You Must Know Before Designing Your Own Camera,” a Presentation from Panopteo

“Maintaining DNN Accuracy When the Real World is Changing,” a Presentation from Observa

“Optimizing ML Systems for Real-World Deployment,” a Presentation from iRobot

“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Gareth Cross

“Building the Eyes of a Vision System: From Photons to Bits,” a Presentation from GoPro

“Modern Machine Vision from Basics to Advanced Deep Learning,” a Presentation from Deep Netts

“A Survey of CMOS Imagers and Lenses—and the Trade-offs You Should Consider,” a Presentation from Capable Robot Components

“Data Collection in the Wild,” a Presentation from BMW Group

“Introduction to DNN Model Compression Techniques,” a Presentation from Xailient

“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a Presentation from Ambarella

“An Introduction to Data Augmentation Techniques in ML Frameworks,” a Presentation from AMD

“Getting Started with Vision AI Model Training,” a Presentation from NVIDIA

“Tools and Strategies for Quickly Building Effective Image Datasets,” a Presentation from BDTI

Technical Insights

“Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate,” an Alliance Interview with XY Sense

“Applying the Right Deep Learning Model with the Right Data for Your Application,” a Presentation from Vision Elements

“An Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision,” a Presentation from the University of Wisconsin – Madison

“A Highly Data-Efficient Deep Learning Approach,” a Presentation from Samsung

“Challenges in Vision-based Adaptive Traffic Control Systems,” a Presentation from Sahaj Software Solutions

“Deploying PyTorch Models for Real-time Inference On the Edge,” a Presentation from Nomitri

“Secure Hardware Architecture for Embedded Vision,” a Presentation from NeuroBinder

“Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing,” a Presentation from Nedra

“Building an Autonomous Detect-and-Avoid System for Commercial Drones,” a Presentation from Iris Automation

“Efficient Deep Learning for 3D Point Cloud Understanding,” a Presentation from Facebook

“Intelligent Vision System for Grains,” a Presentation from CSEM

“Super Resolution on Resource Constrained Devices,” a Presentation from Collabora

“A Practical Guide to Implementing ML on Embedded Devices,” a Presentation from the Chamberlain Group

“Is My Model Performing Well? It Depends…,” a Presentation from BMW Group

“Explainability in Computer Vision: A Machine Learning Engineer’s Overview,” a Presentation from AltaML

“Productizing Complex Visual AI Systems for Autonomous Flight,” a Presentation from Airbus

“Alternative Image Sensors for Intelligent In-Cabin Monitoring, Home Security and Smart Devices,” a Presentation from Xperi

“How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications,” a Presentation from Camio

“OpenVX 1.3: An Open Standard for Computer Vision Software Acceleration,” a Presentation from AMD

“High-fidelity Conversion of Floating-point Networks for Low-precision Inference Using Distillation with Limited Data,” a Presentation from Imagination Technologies

“Facing Up to Bias,” a Presentation from Perceive

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

“Robust Object Detection Under Dataset Shifts,” a Presentation from Arm

Demonstrations

Renesas Demonstration of the RZ/V Microprocessor with a Power-efficient AI Accelerator

PerceptiLabs Demonstration of Fast, Visual, and Explainable Machine Learning Modeling

Morpho Demonstration of Image Enhancement by AI-based Segmentation and Pixel Filtering

Microchip Technology Demonstration of Its VectorBlox Software Development Kits and PolarFire FPGAs for Artificial Intelligence and Machine Learning

Inuitive Demonstration of Its Multi-core Processor For 3D Imaging, Deep Learning and Computer Vision

Immervision Demonstration of How Its Super-wide-angle Camera and Pixel Processing Can Improve Machine Perception

eYs3D Microelectronics Demonstration of Stereo Vision for Robotic Automation and Depth Sensor Fusion

Efinix Demonstration of Using Titanium FPGAs with Quantum Acceleration to Optimize Edge AI Performance while Reducing Time to Market

Deeplite Demonstration of Enabling Deep Neural Networks on Increasingly Constrained Edge Devices

Deeplite Demonstration of Empowering AI in Mobility

Codeplay Software Demonstration of the Differences Between RISC-V and Arm Vector Extensions

AMD Demonstration of MIVisionX and rocAL, Two of the Company’s Computer Vision and Machine Learning Solutions

Allegro DVT Demonstration of Its Advanced Encoder and Decoder IP for Applications Demanding Highest Video Quality

Visidon Demonstration of Its Depth SDK for Image Stylization Optimized for Mobile and Embedded Platforms

Visidon Demonstration of Image Noise Reduction Solutions Optimized for Mobile and Embedded Platforms

OpenFive Demonstration of How to Customize an Edge AI Vision SoC

LAON PEOPLE Demonstration of Surface Inspection Using a Deep Learning Solution

LAON PEOPLE Demonstration of Traffic Analysis Using a Deep Learning Solution

Imagination Technologies Demonstration of Deploying Hardware-accelerated Long Short-term Memory Neural Networks on Edge Devices

EdgeCortix Demonstration of the Dynamic Neural Accelerator F-series and MERA Compiler for Low-latency Deep Neural Network Inference

Coherent Logix Demonstration of Virtual Surround View Fire Detection Using a Deep Neural Network and the HyperX Processor

Coherent Logix Demonstration of Ultra-low Latency Industrial Inspection at the Edge Using the HyperX Processor

BrainChip Demonstration of How the Akida Neural Processor Solves Problems At the Edge

BrainChip Demonstration of AI at the Sensor with 3D Point Cloud Solutions Based on the Akida Neural Processor

Algolux Demonstration of Automatic Optimization of Camera Image Signal Processors for Computer Vision Using the Atlas Camera Optimization Suite

Algolux Demonstration of Highly Robust Computer Vision for All Conditions with the Eos Embedded Perception Software

Xilinx Demonstration of Visual Machine Learning and Natural Language Processing Fusion on the Kria SOM

Xilinx Demonstration of the Out-of-the-Box Experience with the Kria KV260 Starter Kit

Xilinx Demonstration of an X-ray Classification Solution for COVID-19 and Pneumonia Detection

Synopsys Demonstration of SRGAN Super Resolution on DesignWare ARC EV7x Processors

Synopsys Demonstration of SLAM Acceleration on DesignWare ARC EV7x Processors

Synaptics Demonstration of the Progression from Neural Network to Edge with Synaptics’ Katana Processor and Eta Compute’s TENSAI Flow Tool

Synaptics Demonstration of Real-time Video Post-processing Using Machine Learning

Synaptics Demonstration of Smart Video Conferencing on the Edge

D3 Engineering Demonstration of a Synchronized 2D/3D Time-of-Flight Multi-camera Application on NVIDIA’s Jetson AGX Xavier

Connect Tech Demonstration of Integrating Vision Sensors with NVIDIA’s Jetson Edge Applications

AAEON Demonstration of Its Compact Fanless Embedded BOX PC Based on NVIDIA’s Jetson Xavier NX SoC

Nextchip Demonstration of Enabling Smart Automotive Camera ADAS

Nextchip Demonstration of Its Imaging Signal Processor’s Supported Functions

Nextchip Demonstration of Efficient Driver Monitoring for Automotive Cameras

Noroc Demonstration of From-behind Collision Detection for Bicycle Riders

Luxonis Demonstration of Neural Inference-controlled Crop, Zoom and H.265 Encode

Luxonis Demonstration of Spatial Artificial Intelligence and Computer Vision for Human/Machine Safety

Ignitarium Demonstration of AI-based Unit Inspection Using Lattice Semiconductor ECP5 FPGA

Helion-Vision Demonstration of IONOS ISP on Lattice Semiconductor ECP5 FPGA

Lattice Semiconductor Demonstration of Human Presence and Counting Using a CrossLink-NX FPGA

Hailo Demonstration of State-of-the-Art Object Detection on the Edge with the Hailo-8 AI Processor

Hailo Demonstration of Leveraging High Processor Throughput to Improve Object Detection on the Edge

Cadence Demonstration of Vision and AI Applications on Tensilica-based Platforms

Blaize Demonstration of Sensor Fusion and Semantic Segmentation Processing on the Pathfinder P1600

Blaize Demonstration of People and Pose Detection and Key Point Tracking Using the Picasso SDK

Blaize Demonstration of Multi-camera Object Detection on the Blaize Xplorer X1600E

BASF Demonstration of a Color-based Object Detection System for Visual AI Applications

Arm Demonstration of an Open Source Approach To Cloud-native Vision Workload Deployment

Arm Demonstration of Real-time Object Tracking with OpenMV

Arm Demonstration of Body Pose Tracking on Smart TVs

Intel Demonstration of Accelerated Edge Intelligence Solution Development with the Edge Software Hub

Intel Demonstration of DevCloud for the Edge

Intel Demonstration of Write Once, Deploy Anywhere with OpenVINO

Edge Impulse Demonstration of an an Effective Image Classification Solution that Costs Less than $5

Edge Impulse Demonstration of High-speed Object Detection with the Jetson Nano

Edge Impulse Demonstration of Accurate Digits Recognition with the Arduino Portenta

Edge Impulse Demonstration of Low-compute Image Classification with a Himax Monochrome Camera

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