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

“The Future of Visual AI: Efficient Multimodal Intelligence,” a Keynote Presentation from Trevor Darrell

Trevor Darrell, Professor at the University of California, Berkeley, presents the “Future of Visual AI: Efficient Multimodal Intelligence” tutorial at the May 2025 Embedded Vision Summit. AI is on the cusp of a revolution, driven by the convergence of several breakthroughs. One of the most significant of these advances is the development of large language

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“A New Era of 3D Sensing: Transforming Industries and Creating Opportunities,” a Presentation from the Yole Group

Florian Domengie, Principal Technology and Market Analyst for Imaging at the Yole Group, presents the “A New Era of 3D Sensing: Transforming Industries and Creating Opportunities” tutorial at the May 2025 Embedded Vision Summit. The 3D sensing market is projected to more than double by 2030, surpassing $18B. Key drivers include automotive and industrial applications,

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“The New OpenCV 5.0: Added Features, Performance Improvements and Future Directions,” a Presentation from OpenCV.org

Satya Mallick, CEO of OpenCV.org, presents the “New OpenCV 5.0: Added Features, Performance Improvements and Future Directions” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Mallick delves into the latest version of OpenCV, the world’s most popular open-source computer vision library. He highlights the major innovations and improvements in OpenCV 5.0, including

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“Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization,” a Presentation from NXP Semiconductors

Robert Cimpeanu, Machine Learning Software Engineer at NXP Semiconductors, presents the “Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Cimpeanu explains two neural network quantization techniques, quantization-aware training (QAT) and post-training quantization (PTQ), and explains when to use each. He discusses what

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“Customizing Vision-language Models for Real-world Applications,” a Presentation from NVIDIA

Monika Jhuria, Technical Marketing Engineer at NVIDIA, presents the “Customizing Vision-language Models for Real-world Applications” tutorial at the May 2025 Embedded Vision Summit. Vision-language models (VLMs) have the potential to revolutionize various applications, and their performance can be improved through fine-tuning and customization. In this presentation, Jhuria explores the concept and shares insights on domain

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“An Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advances,” a Presentation from the MIPI Alliance

Haran Thanigasalam, Camera and Imaging Systems Consultant for the MIPI Alliance, presents the “Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advances” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Thanigasalam provides an overview of the MIPI CSI-2 image sensor interface standard, covering its fundamental features and capabilities, including

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Eye-Catching Edge AI and Vision Industry Case Study Clips

eufy Robot Lawn Mower
Google Gemma 3n Open GenAI Model
Gemini Robotics Vision Language Model
Estes Express Lines and Samsara
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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