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May 2024 Embedded Vision Summit Replay

Welcome to the May 2024 Embedded Vision Summit Replay page, a compilation of all to-date published content from the 2024 Summit! Please revisit this page in the coming months as additional 2024 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

“Multimodal LLMs at the Edge: Are We There Yet?,” An Embedded Vision Summit Expert Panel Discussion

“Understand the Multimodal World with Minimal Supervision,” a Keynote Presentation from Yong Jae Lee

“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,” a Presentation from Network Optix

“What’s Next in On-device Generative AI,” a Presentation from Qualcomm

Overview

May 2024 Embedded Vision Summit Opening Remarks (May 22)

May 2024 Embedded Vision Summit Opening Remarks (May 23)

Business Insights

“Implementing AI/Computer Vision for Corporate Security Surveillance,” a Presentation from VMware

“Omnilert Gun Detect: Harnessing Computer Vision to Tackle Gun Violence,” a Presentation from Omnilert

“Using AI to Enhance the Well-being of the Elderly,” a Presentation from Kepler Vision Technologies

“Future Radar Technologies and Applications,” a Presentation from IDTechEx

“Ten Commandments for Building a Vision AI Product,” a Presentation from Hayden AI

“Why Amazon Failed and the Future of Computer Vision in Retail,” an Interview with Grabango

“Latest Trends in AI Semiconductors,” an Interview with D2D Advisory

“Entering the Era of Multimodal Perception,” a Presentation from Connected Vision Advisors

“Making Alexa More Ambiently Intelligent with Computer Vision,” a Presentation from Amazon

May 2024 Embedded Vision Summit Vision Tank Competition Finalist Presentations

“Market and Technology Trends in Automotive ADAS,” a Presentation from the Yole Group

“Recent Trends in Industrial Machine Vision: Challenging Times,” a Presentation from the Yole Group

Enabling Technologies

“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Useful Sensors

“How to Run Audio and Vision AI Algorithms at Ultra-low Power,” a Presentation from Synaptics

“Meeting the Critical Needs of Accuracy, Performance and Adaptability in Embedded Neural Networks,” a Presentation from Quadric

“Build a Tiny Vision Application in Minutes with the Edge App SDK,” a Presentation from Midokura, a Sony Group Company

“The Importance of Memory for Breaking the Edge AI Performance Bottleneck,” a Presentation from Micron Technology

“Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” a Presentation from Intel

“Transforming Enterprise Intelligence: The Power of Computer Vision and Gen AI at the Edge with OpenVINO,” a Presentation from Intel

“Challenges and Solutions of Moving Vision LLMs to the Edge,” a Presentation from Expedera

“A Cutting-edge Memory Optimization Method for Embedded AI Accelerators,” a Presentation from 7 Sensing Software

“Implementing Transformer Neural Networks for Visual Perception on Embedded Devices,” a Presentation from VeriSilicon

“Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision,” a Presentation from NXP Semiconductors

“Optimized Vision Language Models for Intelligent Transportation System Applications,” a Presentation from Nota AI

“Image Signal Processing Optimization for Object Detection,” a Presentation from Nextchip

“Squeezing the Last Milliwatt and Cubic Millimeter from Smart Cameras Using the Latest FPGAs and DRAMs,” a Presentation from Lattice Semiconductor and Etron Technology America

“Maximize Your AI Compatibility with Flexible Pre- and Post-processing,” a Presentation from Flex Logix

“Addressing Tomorrow’s Sensor Fusion and Processing Needs with Cadence’s Newest Processors,” a Presentation from Cadence

“Temporal Event Neural Networks: A More Efficient Alternative to the Transformer,” a Presentation from BrainChip

“Silicon Slip-ups: The Ten Most Common Errors Processor Suppliers Make (Number Four Will Amaze You!),” a Presentation from BDTI

“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision,” a Presentation from Axelera AI

“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,” a Presentation from Arm

“Nx EVOS: A New Enterprise Operating System for Video and Visual AI,” a Presentation from Network Optix

“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation from Network Optix

“OpenCV for High-performance, Low-power Vision Applications on Snapdragon,” a Presentation from Qualcomm

“Deploying Large Models on the Edge: Success Stories and Challenges,” a Presentation from Qualcomm

Fundamentals

“Multi-object Tracking Systems,” a Presentation from Tryolabs

“Introduction to Cameras for Embedded Applications,” a Presentation from SensorSpace

“Introduction to Modern Radar for Machine Perception,” a Presentation from Sensor Cortek

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

“Seeing Through Machines: A Guide to Image Sensors for Edge AI Applications,” a Presentation from SEEdar Consulting

“Transformer Networks: How They Work and Why They Matter,” a Presentation from Ryddle AI

“Introduction to Depth Sensing,” a Presentation from Meta

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

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

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

“DNN Quantization: Theory to Practice,” a Presentation from AMD

“Introduction to Visual Simultaneous Localization and Mapping (VSLAM),” a Presentation from Cadence

Technical Insights

“Edge AI Optimization on Rails—Literally,” a Presentation from Wabtec

“How Large Language Models Are Impacting Computer Vision,” a Presentation from Voxel51

“Improved Navigation Assistance for the Blind via Real-time Edge AI,” a Presentation from Tesla

“Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics,” a Presentation from Sportlogiq

“Removing Weather-related Image Degradation at the Edge,” a Presentation from Rivian

“Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques,” a Presentation from Qualitas Technologies

“Data-efficient and Generalizable: The Domain-specific Small Vision Model Revolution,” a Presentation from Pixel Scientia Labs

“Adventures in Moving a Computer Vision Solution from Cloud to Edge,” a Presentation from MetaConsumer

“Bridging Vision and Language: Designing, Training and Deploying Multimodal Large Language Models,” a Presentation from Meta Reality Labs

“Using MIPI CSI to Interface with Multiple Cameras,” a Presentation from Meta

“Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards,” a Presentation from the Khronos Group

“Testing Cloud-to-Edge Deep Learning Pipelines: Ensuring Robustness and Efficiency,” a Presentation from Instrumental

“Real-time Retail Product Classification on Android Devices Inside the Caper AI Cart,” a Presentation from Instacart

“Practical Strategies for Successful Implementation and Deployment of AI-based Solutions,” a Presentation from Globus Medical

“Using Synthetic Data to Train Computer Vision Models,” a Presentation from Geisel Software

“Building Meaningful Products Using Complex Sensor Systems,” a Presentation from DEKA Research & Development

“Federated ML Architecture for Computer Vision in the IoT Edge,” a Presentation from Cisco

“Innovative Applications of Computer Vision for Power Utility Infrastructure Inspection,” a Presentation from Buzz Solutions

“Better Farming through Embedded AI,” a Presentation from Blue River Technology

“Unveiling the Power of Multimodal Large Language Models: Revolutionizing Perceptual AI,” a Presentation from BenchSci

“Harm and Bias Evaluation and Solution for Adobe Firefly,” a Presentation from Adobe

“Enabling Smart Retail with Visual AI,” a Presentation from 365 Retail Markets

“Camera Interface Standards for Embedded Vision Applications,” an Interview with the MIPI Alliance

“Identifying and Mitigating Bias in AI,” a Presentation from Intel

“Augmenting Visual AI through Radar and Camera Fusion,” a Presentation from Au-Zone Technologies

“Leveraging Neural Architecture Search for Efficient Computer Vision on the Edge,” a Presentation from NXP Semiconductors

Demonstrations

Micron Technology Demonstration of Its DRAM and Flash Memory Product Lines

Untether AI Demonstration of Video Analysis Using the runAI Family of Inference Accelerators

EyePop.ai Demonstration of Effortless AI Integration

Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor

Gigantor Technologies Demonstration of Removing Resource Contention for Real-time Object Detection

Avnet Demonstration of High-performance, Power-efficient Vision AI Applications with the Qualcomm QCS6490 SoC

Avnet Demonstration of an AI-driven Smart Parking Lot Monitoring System Using the RZBoard V2L

Advantech Demonstration of AI Vision with an Edge AI Camera and Deep Learning Software

MediaTek Demonstrations of Its Genio IoT Development Platform and Partners’ Products

Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition

Analog Devices Demonstration of the MAX78000 Microcontroller Enabling Edge AI in a Robotic Arm

Inuitive Demonstration of a RGBD Sensor Using a Synopsys ARC-based NU4100 AI and Vision Processor

Sensor Cortek Demonstration of SmarterRoad Running on Synopsys ARC NPX6 NPU IP

STMicroelectronics Demonstration of RGB and Depth Fusion with a 0.5Mpixel Indirect ToF Sensor

Microchip Technology Inc. Demonstration of a Smart Door Lock Using Facial Recognition

Microchip Technology Inc. Demonstration of Low-power Facial Recognition Using the PolarFire SoC

Hailo Demonstration of Its Hailo-15 AI Vision Processor

Hailo Demonstration of Video Management Systems

Chips&Media Demonstration of WAVE6 and WAVE6 Gen2+, Its Powerful Video Codecs

Chips&Media Demonstration of CMNP, Its Application-specific NPU for Image and Video

VeriSilicon Demonstration of Its Secure, Low-power Machine Learning Solutions

VeriSilicon Demonstration of Its End-to-end Video Transcoding Semiconductor Solutions

VeriSilicon Demonstration of Its Comprehensive Silicon Solution and Edge AI Applications

NXP Semiconductors Demonstration of Smart Fitness with the i.MX 93 Apps Processor

NXP Semiconductors Demonstration of Quad Camera Object Detection with the i.MX 95 Apps Processor

NXP Semiconductors Demonstration of Face Following with the MCX N Microcontroller

Nota AI Demonstration of Transforming Edge AI with the LaunchX Converter and Benchmarker

Nota AI Demonstration of Elevating Traffic Safety with Vision Language Models

Nota AI Demonstration of Revolutionizing Driver Monitoring Systems

Nextchip Demonstration of Its Vision Professional ISP Optimization for Computer Vision

Nextchip Demonstration of the APACHE5 ADAS SoC

Nextchip Demonstration of the APACHE6 ADAS SoC

Lattice Semiconductor Demonstration of a Low-latency Edge AI Sensor Bridge for NVIDIA’s Holoscan

Lumotive Demonstration of a Sensor Hub for LiDAR, Radar and Camera Fusion

e-con Systems Demonstration of Its Advanced Camera Solutions

Flex Logix Demonstration of Enabling High Performance AI Inference At the Edge

Flex Logix Overview of SoC Adaptability and Algorithm Acceleration Using Embedded FPGA Technology

Flex Logix Overview of How to Enable Long-lasting Security For SoCs with Embedded FPGA Technology

DEEPX Demonstration of Its DX-M1 AIoT Booster

DEEPX Demonstration of Its DX-V1 and DX-V3 AI Vision Processors

DEEPX Demonstration of Its DX-H1 Green AI Computing Card

Cadence Demonstration of a Large Vision Model for Generative AI on the Tensilica Vision P6 DSP

Cadence Demonstration of Time-of-Flight Decoding on the Tensilica Vision Q7 DSP

Cadence Demonstration of an Imaging Radar Applications on the Tensilica ConnX B10 DSP

BrainChip Demonstration of the Power of Temporal Event-based Neural Networks (TENNs)

BrainChip Demonstration of Analyzing Head Pose, Eye Gaze and Emotion with Human Behavior AI

BrainChip Demonstration of Neuromorphic AI in a Compact Form Factor

Axelera AI Demonstration of the High Performance Achievable with the Metis AIPU

Axelera AI Demonstration of Computer Vision Applications Based on the Metis AIPU

Axelera AI Demonstration of Fast and Efficient Workplace Safety with the Metis AIPU

Himax Demonstration of On-device AI with Innovative End-point Computer Vision

Renesas Demonstration of the RZ/V2H MPU for High Performance, Low Power AI Vision Applications

Arm Demonstration of the Ethos-U85 AI Accelerator

Network Optix Demonstration of Instantly Deployable Face Detection on OrinAGX with the Nx AI Manager

Network Optix Demonstration of Instantly Scalable AI Models Using the Nx AI Manager

Network Optix Demonstration of Seamlessly Deploying AI Models at the Edge with Nx AI Manager

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