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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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Business Insights

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

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

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

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

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

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

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

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

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

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

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May 2023 Embedded Vision Summit Vision Tank Competition Finalist Presentations

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

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

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

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Enabling Technologies

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Technical Insights

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Demonstrations

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

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

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Mouser Electronics Introduction to the Company and Its Capabilities

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

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

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Synaptics Demonstration of Its Multimedia AI Processor

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

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

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Renesas Demonstration of Its Next-generation Artificial Intelligence Accelerator

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

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

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

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

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

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

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

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

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Nota AI Demonstration of Revolutionizing Intelligent Transportation Systems with Nota ITS

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

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

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

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

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

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

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

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Lattice Semiconductor Demonstration of Object Classification Running on Avant FPGAs

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Lattice Semiconductor Demonstration of Its Glance Software

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Lattice Semiconductor Demonstration of an Advanced Driver Monitoring System

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

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Hailo Demonstration of Smart Cameras for Intelligent Transportation Systems

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Hailo Demonstration of Art of Logic’s Video Management System

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DeGirum Demonstration of Its Cloud Platform for Accelerating Edge AI Development

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DeGirum Demonstration of Efficient Pipelining of Multiple Models Using DeGirum PySDK

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

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

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Cadence Demonstration of In-vehicle Infotainment

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

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

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

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

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

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

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

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

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Analog Devices Demonstration of Its Microcontroller Product Line

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

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

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

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Edge Impulse Demonstration of Predictive Maintenance Using BrickML

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

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

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DEEPX Demonstration of Its Product Portfolio for Empowering Edge AI Solutions

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

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

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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