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Business Insights

“Big Trends in Computer Vision for 2022: Health and Safety, Retail and Consumer Electronics,” a Presentation from Woodside Capital Partners

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“The Automotive Driver Monitoring Market: What’s Happening? Why? What’s the Opportunity?,” a Presentation from Strategy Analytics

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“The Market for Cameras and Video Doorbells in the Smart Home,” a Presentation from Strategy Analytics

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“Ask the Ethicist: Your Questions about AI Privacy, Bias and Ethics Answered,” an Interview with Santa Clara University

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“Privacy: A Surmountable Challenge for Computer Vision,” a Presentation from Santa Clara University

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“Seeing the Future: 7 Decisions to Go from Idea to Successful Scale Business,” a Presentation from Nauto

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“Instant Item Training: Practical AI for the Retail Industry,” a Presentation from Mashgin

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“Focus on Value, Not Valuation: A Crash Course in VC Trends and Fundraising in 2022,” a Presentation from HPE Pathfinder

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“The Future of Retail is Here, and It’s Powered by Embedded Computer Vision,” a Presentation from Grabango

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“What Happens When Your Speed of AI Innovation Exceeds Your Ability to See the Regulatory Challenges Ahead?,” a Presentation from Dorsey & Whitney, LLP

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“From ADAS to AD, Processor and Car Architecture Evolution,” a Presentation from Yole Développement

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May 2022 Embedded Vision Summit Vision Tank Competition Finalist Presentations

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“Building Embedded Vision Products: Management Lessons From The School of Hard Knocks,” a Presentation from the Edge AI and Vision Alliance

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Enabling Technologies

“A New AI Platform Architecture for the Smart Toys of the Future,” a Presentation from Xperi

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“Human-centric Computer Vision with Synthetic Data,” a Presentation from Unity Technologies

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“Build Smarter, Safer and Efficient Autonomous Robots and Mobile Machines,” a Presentation from Texas Instruments

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“Deploying Visual AI on Edge Devices: Lessons From the Real World,” a Presentation from Teledyne Imaging

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“New Imager Modules and Tools Enable Bringing High-quality Vision Systems to Market Quickly,” a Presentation from onsemi

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“Intelligent Vision for the Industrial,​ Automotive and IoT Edge with the i.MX 8M Plus Applications Processor,” a Presentation from NXP Semiconductors

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“Creating Better Datasets for Training More Robust Models in FiftyOne,” a Presentation from Voxel51

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“Accelerate All Your Algorithms with the quadric q16 Processor,” a Presentation from Quadric

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“Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision,” a Presentation from Opteran Technologies

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“Vision AI At the Edge: From Zero to Deployment Using Low-Code Development,” a Presentation from NVIDIA

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“Accelerating the Creation of Custom, Production-Ready AI Models for Edge AI,” a Presentation from NVIDIA

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“A Novel Packet-based Accelerator for Resource-Constrained Edge Devices,” a Presentation from Expedera

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“NeuPro-M: A Highly Scalable, Heterogeneous and Secure Processor for High-performance AI/ML in Smart Edge Devices,” a Presentation from CEVA

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“A Flexible Software Ecosystem and Marketplace for Hybrid AI Vision Solutions,” a Presentation from Basler

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“Optimizing Camera Image Quality to Maximize Computer Vision Results,” a Presentation from Algolux

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“Developing Sustainable Edge AI Products for the Real World,” a Presentation from Blaize

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“How to Enhance Edge AI Vision with the Katana SoC Using Multi-Modal Sensing,” a Presentation from Synaptics

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“Combining Ultra-low-power Proximity Sensing and Ranging to Enable New Applications,” a Presentation from STMicroelectronics

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“Empower Your Edge Device Using NetsPresso – No AI Engineer Required,” a Presentation from Nota AI

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“A Platform Approach to Developing Networked Visual AI Systems,” a Presentation from Network Optix

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“Enable Spatial Understanding for Embedded/Edge Devices with DepthAI,” a Presentation from Luxonis

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“Accelerate Tomorrow’s Models with Lattice FPGAs,” a Presentation from Lattice Semiconductor

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“Taking Intelligent Video Analytics to the Next Level,” a Presentation from Hailo

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“Designing the Next Ultra-Low-Power Always-On Solution,” a Presentation from Cadence

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“TensorFlow Lite for Microcontrollers (TFLM): Recent Developments,” a Presentation from BDTI and Google

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“Jumpstart Your Edge AI Vision Application with New Development Kits from Avnet,” a Presentation from Avnet

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“Arm Cortex-M Series Processors Spark a New Era of Use Cases, Enabling Low-cost, Low-power Computer Vision and Machine Learning,” A Presentation from Arm

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“Introducing the Kria Robotics Starter Kit: Robotics and Machine Vision for Smart Factories,” a Presentation from AMD

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“Programming Vision Pipelines on AMD’s AI Engines,” a Presentation from AMD

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“Is Your AI Data Pre-processing Fast Enough? Speed It Up Using rocAL,” a Presentation from AMD

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“Optimization Techniques with Intel’s OpenVINO to Enhance Performance on Your Existing Hardware,” a Presentation from Intel

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“Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform,” a Presentation from Intel

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“High-Efficiency Edge Vision Processing Based on Dynamically Reconfigurable TPU Technology,” a Presentation from Flex Logix

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“The Flex Logix InferX X1: Pairing Software and Hardware to Enable Edge Machine Learning,” a Presentation from Flex Logix

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“The Future of AI is Here Today: Deep Dive into Qualcomm’s On-Device AI Offerings,” a Presentation from Qualcomm

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“Autonomous Driving AI Workloads: Technology Trends and Optimization Strategies,” a Presentation from Qualcomm

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“Tools for Creating Next-Gen Computer Vision Apps on Snapdragon,” a Presentation from Qualcomm

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“Seamless Deployment of Multimedia and Machine Learning Applications at the Edge,” a Presentation from Qualcomm

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“A Practical Guide to Getting the DNN Accuracy You Need and the Performance You Deserve,” a Presentation from Qualcomm

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“FOMO: Real-Time Object Detection on Microcontrollers,” a Presentation from Edge Impulse

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Technical Insights

“Unifying Computer Vision and Natural Language Understanding for Autonomous Systems,” a Presentation from Verizon

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“Compound CNNs for Improved Classification Accuracy,” a Presentation from Southern Illinois University Carbondale

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“Strategies and Methods for Sensor Fusion,” a Presentation from Sensor Cortek

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“Incorporating Continuous User Feedback to Achieve Product Longevity in Chaotic Environments,” a Presentation from Observa

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“A Cost-Effective Approach to Modeling Object Interactions on the Edge,” a Presentation from Nemo @ Ridecell

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“COVID-19 Safe Distancing Measures in Public Spaces with Edge AI,” a Presentation from the Government Technology Agency of Singapore

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“Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding,” a Presentation from Google

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“Responsible AI and ModelOps in Industry: Practical Challenges and Lessons Learned,” a Presentation from Fiddler AI

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“Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers,” a Presentation from DSP Concepts

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“System Imperatives for Audio and Video AI at the Edge,” a Presentation from Cisco

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“Knowledge Distillation of Convolutional Neural Networks,” a Presentation from Bending Spoons

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“Data Versioning: Towards Reproducibility in Machine Learning,” a Presentation from Tryolabs

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

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“How Transformers are Changing the Direction of Deep Learning Architectures,” a Presentation from Synopsys

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“Embedded Vision in Robotics, Biotech and Education,” a Conversation with Dean Kamen

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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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