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.

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“Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models,” a Presentation from LinkedIn Learning

Alina Li Zhang, Senior Data Scientist and Tech Writer at LinkedIn Learning, presents the “Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models” tutorial at the May 2025 Embedded Vision Summit. Imagine a world where AI systems automatically detect thefts in grocery stores, ensure construction site safety and identify patient… “Unlocking Visual Intelligence: Advanced Prompt

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“Deploying Accelerated ML and AI: The Role of Khronos Open Standards,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Deploying Accelerated ML and AI: The Role of Khronos Open Standards” tutorial at the May 2025 Embedded Vision Summit. Accelerating machine learning and AI workloads often requires specialized hardware, but managing compatibility across… “Deploying Accelerated ML and AI:

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“Scaling Computer Vision at the Edge,” a Presentation from Invisible AI

Eric Danziger, CEO of Invisible AI, presents the “Scaling Computer Vision at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Danziger introduces a comprehensive framework for scaling computer vision systems across three critical dimensions: capability evolution, infrastructure decisions and deployment scaling. Today’s leading-edge vision systems… “Scaling Computer Vision at the

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“Scaling Machine Learning with Containers: Lessons Learned,” a Presentation from Instrumental

Rustem Feyzkhanov, Machine Learning Engineer at Instrumental, presents the “Scaling Machine Learning with Containers: Lessons Learned” tutorial at the May 2025 Embedded Vision Summit. In the dynamic world of machine learning, efficiently scaling solutions from research to production is crucial. In this presentation, Feyzkhanov explores the nuances of scaling machine… “Scaling Machine Learning with Containers:

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“Vision-language Models on the Edge,” a Presentation from Hugging Face

Cyril Zakka, Health Lead at Hugging Face, presents the “Vision-language Models on the Edge” tutorial at the May 2025 Embedded Vision Summit. In this Zakka, we provides an overview of vision-language models (VLMs) and their deployment on edge devices using Hugging Face’s recently released SmolVLM as an example. He examines… “Vision-language Models on the Edge,”

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“Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration,” a Presentation from Google

Niyati Prajapati, ML and Generative AI Lead at Google, presents the “Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration” tutorial at the May 2025 Embedded Vision Summit. In this talk, Prajapati explores how vision LLMs can be used in multi-agent collaborative systems to enable new levels of capability and… “Vision LLMs in Multi-agent Collaborative

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“Building Agentic Applications for the Edge,” a Presentation from GMAC Intelligence

Amit Mate, Founder and CEO of GMAC Intelligence, presents the “Building Agentic Applications for the Edge” tutorial at the May 2025 Embedded Vision Summit. Along with AI agents, the new generation of large language models, vision-language models and other large multimodal models are enabling powerful new capabilities that promise to… “Building Agentic Applications for the

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“Specifying and Designing Cameras for Computer Vision Applications,” a Presentation from Etron Technology America

Richard Crisp, Vice President and CTO at Etron Technology America, presents the “Specifying and Designing Cameras for Computer Vision Applications” tutorial at the May 2025 Embedded Vision Summit. Designing a camera system requires a deep understanding of the fundamental principles of image formation and the physical characteristics of its components.… “Specifying and Designing Cameras for

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“Enabling Ego Vision Applications on Smart Eyewear Devices,” a Presentation from EssilorLuxottica

Francesca Palermo, Research Principal Investigator at EssilorLuxottica, presents the “Enabling Ego Vision Applications on Smart Eyewear Devices” tutorial at the May 2025 Embedded Vision Summit. Ego vision technology is revolutionizing the capabilities of smart eyewear, enabling applications that understand user actions, estimate human pose and provide spatial awareness through simultaneous… “Enabling Ego Vision Applications on

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“Introduction to Deep Learning and Visual AI: Fundamentals and Architectures,” a Presentation from eBay

Mohammad Haghighat, Senior Manager for CoreAI at Bay, presents the “Introduction to Deep Learning and Visual AI: Fundamentals and Architectures” tutorial at the May 2025 Embedded Vision Summit. This talk provides a high-level introduction to artificial intelligence and deep learning, covering the basics of machine learning and the key concepts… “Introduction to Deep Learning and

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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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