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May 2023 Embedded Vision Summit Replay

Welcome to the May 2023 Embedded Vision Summit Replay page, a compilation of all to-date published content from the 2023 Summit! Please revisit this page in the coming months as additional 2023 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

Keynote and General Sessions

“Generative AI: How Will It Impact Edge Applications and Machine Perception?,” An Embedded Vision Summit Expert Panel Discussion

“Frontiers in Perceptual AI: First-person Video and Multimodal Perception,” a Keynote Presentation from Kristen Grauman

“Accelerating the Era of AI Everywhere,” An Embedded Vision Summit Expert Panel Discussion

Overview

May 2023 Embedded Vision Summit Opening Remarks (May 23)

May 2023 Embedded Vision Summit Opening Remarks (May 24)

Business Insights

“ADAS: What’s Working and What Isn’t?,” An Interview by the Ojo-Yoshida Report with TechInsights

“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights

“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepreneurial Front Lines),” a Presentation from SeeChange Technologies

“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentation from Santa Clara University

“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a Presentation from HPE Pathfinder

“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation from Omdia

“Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future,” a Presentation from Nauto

“Reinventing Smart Cities with Computer Vision,” a Presentation from Hayden AI

“90% of Tech Start-Ups Fail. What the Other 10% Know,” a Presentation from Connected Vision Advisors

“Lessons Learned in Developing a High-volume, Vision-enabled Coffee Maker,” an Interview with Keurig Dr Pepper

May 2023 Embedded Vision Summit Vision Tank Competition Finalist Presentations

“LiDAR Technologies and Markets: What’s Changing?,” a Presentation from the Yole Group

“3D Sensing: Market and Industry Update,” a Presentation from the Yole Group

“Responsible AI: Tools and Frameworks for Developing AI Solutions,” a Presentation from Intel

Enabling Technologies

“Can AI Solve the Low Light and HDR Challenge?,” a Presentation from Visionary.ai

“Modernizing the Development of AI-based IoT Devices with Wedge,” a Presentation from Midokura, a Sony Group Company

“Using a Neural Processor for Always-sensing Cameras,” a Presentation from Expedera

“A New, Open-standards-based, Open-source Programming Model for All Accelerators,” a Presentation from Codeplay Software

“Efficiently Map AI and Vision Applications onto Multi-core AI Processors Using CEVA’s Parallel Processing Framework,” a Presentation from CEVA

“Streamlining Embedded Vision Development with Smart Vision Components,” a Presentation from Basler

“A Very Low-power Human-machine Interface Using ToF Sensors and Embedded AI,” a Presentation from 7 Sensing Software

“AI-ISP: Adding Real-time AI Functionality to Image Signal Processing with Reduced Memory Footprint and Processing Latency,” a Presentation from VeriSilicon

“Developing an Efficient Automotive Augmented Reality Solution Using Teacher-student Learning and Sprints,” a Presentation from STRADVISION

“Introducing the i.MX 93: Your “Go-to” Processor for Embedded Vision,” a Presentation from NXP Semiconductors

“How to Select, Train, Optimize and Deploy Edge Vision AI Models in Three Days,” a Presentation from Nota AI

“Optimized Image Processing for Automotive Image Sensors with Novel Color Filter Arrays,” a Presentation from Nextchip

“Building Large-scale Distributed Computer Vision Solutions Without Starting from Scratch,” a Presentation from Network Optix

“Fast-track Design Cycles Using Lattice’s FPGAs,” a Presentation from Lattice Semiconductor

“Intensive In-camera AI Vision Processing,” a Presentation from Hailo

“Challenges in Architecting Vision Inference Systems for Transformer Models,” a Presentation from Flex Logix

“Bring Your ML Models to the Edge with the DeGirum DeLight Cloud Platform,” a Presentation from DeGirum

“Tensilica Processor Cores Enable Sensor Fusion for Robust Perception,” a Presentation from Cadence

“Enabling Ultra-low Power Edge Inference and On-device Learning with Akida,” a Presentation from BrainChip

“Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability,” a Presentation from Avnet

“Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs,” a Presentation from Arm

“Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator,” a Presentation from Analog Devices

“Five Things You Might Overlook on Your Next Vision-enabled Product Design,” a Presentation from BDTI

“Image Sensors to Enable Low-cost and Low-power Computer Vision Applications,” a Presentation from STMicroelectronics

“Develop Next-gen Camera Apps Using Snapdragon Computer Vision Technologies,” a Presentation from Qualcomm

“Accelerating Newer ML Models Using the Qualcomm AI Stack,” a Presentation from Qualcomm

“Deploy Your Embedded Vision Solution on Any Processor Using Edge Impulse,” A Presentation from Edge Impulse

“Visual Anomaly Detection with FOMO-AD,” a Presentation from Edge Impulse

“State-of-the-art Model Quantization and Optimization for Efficient Edge AI,” a Presentation from DEEPX

“Toward the Era of AI Everywhere,” a Presentation from DEEPX

“DEEPX’s New M1 NPU Delivers Flexibility, Accuracy, Efficiency and Performance,” a Presentation from DEEPX

Fundamentals

“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Haghighat

“Understanding, Selecting and Optimizing Object Detectors for Edge Applications,” a Presentation from Walmart Global Tech

“Introduction to Modern LiDAR for Machine Perception,” a Presentation from the University of Ottawa

“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions,” a Presentation from Sensor Cortek

“Introduction to the CSI-2 Image Sensor Interface Standard,” a Presentation from the MIPI Alliance

“Introduction to Optimizing ML Models for the Edge,” a Presentation from Cisco Systems

“Multiple Object Tracking Systems,” a Presentation from Tryolabs

“Fundamentals of Training AI Models for Computer Vision Applications,” a Presentation from GMAC Intelligence

“Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies

“How Transformers Are Changing the Nature of Deep Learning Models,” a Presentation from Synopsys

Technical Insights

“Learning Compact DNN Models for Embedded Vision,” a Presentation from the University of Maryland at College Park

“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Presentation from Yummly

“Building Accelerated GStreamer Applications for Video and Audio AI,” a Presentation from Wave Spectrum

“Vision-language Representations for Robotics,” a Presentation from the University of Pennsylvania

“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentation from Sportlogiq

“Detecting Data Drift in Image Classification Neural Networks,” a Presentation from Southern Illinois University Carbondale

“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentation from SCOUT Space

“Sensor Fusion Techniques for Accurate Perception of Objects in the Environment,” a Presentation from the Sanborn Map Company

“Updating the Edge ML Development Process,” a Presentation from Samsara

“Combating Bias in Production Computer Vision Systems,” a Presentation from Red Cell Partners

“Developing an Embedded Vision AI-powered Fitness System,” a Presentation from Peloton Interactive

“MIPI CSI-2 Image Sensor Interface Standard Features Enable Efficient Embedded Vision Systems,” a Presentation from the MIPI Alliance

“Practical Approaches to DNN Quantization,” a Presentation from Magic Leap

“Optimizing Image Quality and Stereo Depth at the Edge,” a Presentation from John Deere

“Using a Collaborative Network of Distributed Cameras for Object Tracking,” a Presentation from Invision AI

“A Survey of Model Compression Methods,” a Presentation from Instrumental

“Learning for 360° Vision,” a Presentation from Google

“Efficient Many-function Video ML at the Edge,” a Presentation from Cisco Systems

“Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-aware Algorithms,” a Presentation from Arizona State University

“Item Recognition in Retail,” a Presentation from 7-Eleven

“Embedded Vision in Robotics, Biotech and Education,” an Interview with Dean Kamen

“Open Standards Unleash Hardware Acceleration for Embedded Vision,” a Presentation from the Khronos Group

“Next-generation Computer Vision Methods for Automated Navigation of Unmanned Aircraft,” a Presentation from Immervision

“Making Sense of Sensors: Combining Visual, Laser and Wireless Sensors to Power Occupancy Insights for Smart Workplaces,” a Presentation from Camio

“The OpenVX Standard API: Computer Vision for the Masses,” a Presentation from the Khronos Group

“Making GANs Much Better, or If at First You Don’t Succeed, Try, Try a GAN,” a Presentation from Perceive

“Selecting Image Sensors for Embedded Vision Applications: Three Case Studies,” a Presentation from Avnet

Demonstrations

Flex Logix Introduction to Its Latest-generation InferX IP for AI Inference at the Edge

Flex Logix Demonstration of Its InferX IP for AI Inference Implementing Object Detection at the Edge

Mouser Electronics Introduction to the Company and Its Capabilities

Visionary.ai Demonstration of a True Night Vision ISP Running on Synopsys’ ARC AI and Vision Processor

Inuitive Demonstration of Its Multicore Processor Running on a Synopsys ARC AI and Vision Processor

Synaptics Demonstration of Its Multimedia AI Processor

Synaptics Demonstration of Its Ultra-low Power AI Solutions for Battery-operated Devices

Renesas Demonstration of Its High Performance, Fast Boot, Low Power AI Trail Camera Winning Combo

Renesas Demonstration of Its Next-generation Artificial Intelligence Accelerator

VeriSilicon Demonstration of the Company’s Technologies and Customer Use Cases

VeriSilicon Demonstration of Leading Consumer Products Empowered by the Company’s Technologies

VeriSilicon Demonstration of Its Versatile IP on NXP Semiconductors’ i.MX8M Family Processors

STMicroelectronics Demonstration of Using the STM32Cube.AI Developer Cloud to Test and Deploy ML Solutions

STMicroelectronics Demonstration of the Cube.ai Developer Cloud, from TAO to STM32

STMicroelectronics Demonstration of a Smart 0.6 Mpixel Global Shutter Image Sensor for MCU Offload

Innowave Demonstration of Complete Vision Camera Solutions Using NXP’s i.MX 8M Plus SoC with Integrated ISP

NXP Demonstration of AI Functions Implemented on Low-power MCX and RT Microcontrollers

NXP Demonstration of a Driver Monitoring System Enabled By the i.MX 93 SoC and Its Integrated NPU

Nota AI Demonstration of Revolutionizing Intelligent Transportation Systems with Nota ITS

Nota AI Demonstration of Its Driver Monitoring System (DMS) Powered by NetsPresso

Nota AI Demonstration of How to Optimize an AI Model Using NetsPresso

Nextchip Demonstration of RCCG-based Image Sensor Operation with APACHE_U, Its Newest ISP

Nextchip Demonstration of High Dynamic Range and Sensitivity On APACHE_U, Its Newest ISP

Network Optix Demonstration of Its Desktop Client, Harnessing Open Source for Custom Solutions

Network Optix Demonstration of Its NX Platform for Empowering Video-focused Applications

Network Optix Demonstration of Its Solution for Navigating the Video Infrastructure in the Era of AI

Lattice Semiconductor Demonstration of Object Classification Running on Avant FPGAs

Lattice Semiconductor Demonstration of Its Glance Software

Lattice Semiconductor Demonstration of an Advanced Driver Monitoring System

Hailo Demonstration of the Hailo-15 Family of High-performance AI Vision Processors

Hailo Demonstration of Smart Cameras for Intelligent Transportation Systems

Hailo Demonstration of Art of Logic’s Video Management System

DeGirum Demonstration of Its Cloud Platform for Accelerating Edge AI Development

DeGirum Demonstration of Efficient Pipelining of Multiple Models Using DeGirum PySDK

DeGirum Demonstration of Running Multiple Object Detection Models in Parallel on DeGirum ORCA

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

Cadence Demonstration of In-vehicle Infotainment

Cadence Demonstration of Tensilica DSPs’ Vision and AI Capabilities for Industrial Products

BrainChip Demonstration of Sensor-agnostic, Event-based, Untethered Edge AI Inference and Learning

BrainChip Demonstration of Vision and Edge Learning Solutions for Event- and Frame-based Cameras

Avnet Demonstration of Its Edge AI Kit for Fast Stereo Face Recognition with NXP’s i.MX 8M Plus MPU

Avnet Demonstration of the RZBoard V2L for Energy-efficient AI Acceleration with the Renesas RZ/V2L

Avnet Demonstration of RASynBoard, a Low-power, Always-on, Edge AI Smart Sensor Module

Nota AI Demonstration of Machine Learning at the Edge on Arm Platforms with NetsPresso AutoML

Alif Semiconductor Demonstration of Battery-powered Embedded Vision with the Ethos-U55 and Arm’s Cortex-M55

Analog Devices Demonstration of Its Microcontroller Product Line

Analog Devices Demonstration of the MAX78002 AI Microcontroller with a Low-power CNN Accelerator

Analog Devices Demonstration of the MAX 78000 AI Microcontroller with an Ultra-low-power CNN Accelerator

Edge Impulse Demonstration of FOMO: Constrained Object Detection on Embedded Devices

Edge Impulse Demonstration of Predictive Maintenance Using BrickML

DEEPX Demonstration of Empowering Smart Camera and Robotics Applications with Edge AI Chip Technology

DEEPX Demonstration of Revolutionizing Automotive and Smart City Applications with Edge AI Technology

DEEPX Demonstration of Its Product Portfolio for Empowering Edge AI Solutions

DEEPX Demonstration of Empowering Edge AI Technology with Flexibility, Accuracy and Power Efficiency

DEEPX Demonstration of Simplifying Software Development with DEEPX’s Two-step SDK

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