Videos

Videos on Edge AI and Visual Intelligence

We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.

Alliance Website Videos

Visionary.ai Demonstration of AI Bayer Denoising Software Delivering Crisp Images at 0.1 LUX

David Jarmon, SVP of Worldwide Sales for Visionary.ai, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Jarmon demonstrates the company’s AI denoising solution—often described as “steroids for cameras”—on Qualcomm’s Snapdragon Gen-3 Android platform. In the demo, Visionary.ai’s real-time AI denoiser allows

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Gimlet Labs Demonstration of Instant Deployment of Custom AI to a Device

Natalie Serrino, cofounder of Gimlet Labs, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Serrino demonstrates Gimlet’s capabilities for deploying and monitoring edge AI workloads. She deploys a custom pipeline for hardhat compliance detection to an Intel NUC, and shows live

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

Ritesh Agarwal, Computer Vision Lead at Globus Medical, presents the “Practical Strategies for Successful Implementation and Deployment of AI-based Solutions” tutorial at the May 2024 Embedded Vision Summit. AI models that produce accurate results on test data are a necessary component of successful applications, but by themselves they are insufficient.… “Practical Strategies for Successful Implementation

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

Brian Geisel, CEO of Geisel Software, presents the “Using Synthetic Data to Train Computer Vision Models” tutorial at the May 2024 Embedded Vision Summit. Developers of machine-learning based computer vision applications often face difficulties obtaining sufficient data for training and evaluating models. In this talk, Geisel explores the use of… “Using Synthetic Data to Train

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

Mohammad Haghighat, Senior Manager for CoreAI at eBay, presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2024 Embedded Vision Summit. This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then… “Introduction to Computer Vision with

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

Dirk van der Merwe, Autonomous Robotics Lead at DEKA Research & Development, presents the “Building Meaningful Products Using Complex Sensor Systems” tutorial at the May 2024 Embedded Vision Summit. Most complex sensor systems begin with a simple goal—ensuring safety and efficiency. Whether it’s avoiding collisions between vehicles or predicting future… “Building Meaningful Products Using Complex

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

Jay Goldberg, CEO and Founder of D2D Advisory, talks with Phil Lapsley, Co-Founder and Vice President of BDTI and Vice President of Business Development at the Edge AI and Vision Alliance, for the “Latest Trends in AI Semiconductors” interview at the May 2024 Embedded Vision Summit. In this wide-ranging, insightful… “Latest Trends in AI Semiconductors,”

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

Simon Morris, Serial Tech Entrepreneur and Start-Up Advisor at Connected Vision Advisors, presents the “Entering the Era of Multimodal Perception” tutorial at the May 2024 Embedded Vision Summit. Humans rely on multiple senses to quickly and accurately obtain the most important information we need. Similarly, developers have begun using multiple… “Entering the Era of Multimodal

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Eye-Catching Edge AI and Vision Industry Case Study Clips

Autonomous Crop Harvesting
Ray-Ban Meta Smart Glasses
Generative AI and Perceptual AI
Computer Vision in Agriculture
AI-powered Box Loading In Delivery Trucks
School Bus Safety
Autonomous Drones for Package Delivery
Whole-Body Health Tests via Retina Scans
Touchless Self-Checkout Retail System
Personalized-Info Airport Displays
Avoiding Autonomous Vacuuming Hazards
Vision-Enhanced Fitness
Coffee Pod Identification
Aerial Autonomy on Mars
Talking-Head Synthesis and Optimization
Tracking Down Litterers
Autonomous Infrastructure Inspection
AI-controlled Webcam
Underwater Image Enhancement
Colorizing B&W Images and Video
Hand Tracking on VR Headsets
Object ID for the Visually Impaired
Gesture-Based Mobile Device Control
Smart Vehicle Headlights
Insurance Valuation Via CV Image Analysis
Augmented Reality Shopping for Glasses
Blood Analysis for Malaria
Vision-Based Smart Oven
Facial Recognition for Flight Check-In
Diabetes Detection via AI Retina Scans
Vision Health Self-Analysis
Object Recognition for Children
Bossa Nova Robots in Retail
Autonomous Vehicle Parking

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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