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

Deepak Mital, Senior Director of Architectures at Synaptics, presents the “How to Run Audio and Vision AI Algorithms at Ultra-low Power” tutorial at the May 2024 Embedded Vision Summit. Running AI algorithms on battery-powered, low-cost devices requires a different approach to designing hardware and software. The power requirements are stringent… “How to Run Audio and

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

Aman Sikka, Chief Architect at Quadric, presents the “Meeting the Critical Needs of Accuracy, Performance and Adaptability in Embedded Neural Networks” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Sikka explores the challenges of accuracy and performance when implementing quantized machine learning inference algorithms on embedded systems.… “Meeting the Critical Needs of

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

Dan Mihai Dumitriu, Chief Technology Officer at Midokura, a Sony Group company, presents the “Build a Tiny Vision Application in Minutes with the Edge App SDK” tutorial at the May 2024 Embedded Vision Summit. In the fast-paced world of embedded vision applications, moving rapidly from concept to deployment is crucial.… “Build a Tiny Vision Application

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

Wil Florentino, Senior Marketing Manager for Industrial/IIoT at Micron Technology, presents the “Importance of Memory for Breaking the Edge AI Performance Bottleneck” tutorial at the May 2024 Embedded Vision Summit. In recent years there’s been tremendous focus on designing next-generation AI chipsets to improve neural network inference performance. As higher… “The Importance of Memory for

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

Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit. AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning… “Intel’s Approach to Operationalizing AI

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

Leila Sabeti, Americas AI Technical Sales Lead at Intel, presents the “Transforming Enterprise Intelligence: The Power of Computer Vision and Gen AI at the Edge with OpenVINO” tutorial at the May 2024 Embedded Vision Summit. In this talk, Sabeti focuses on the transformative impact of AI at the edge, highlighting… “Transforming Enterprise Intelligence: The Power

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

Arnaud Collard, Technical Leader for Embedded AI at 7 Sensing Software, presents the “Cutting-edge Memory Optimization Method for Embedded AI Accelerators” tutorial at the May 2024 Embedded Vision Summit. AI hardware accelerators are playing a growing role in enabling AI in embedded systems such as smart devices. In most cases… “A Cutting-edge Memory Optimization Method

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

Shang-Hung Lin, Vice President of Neural Processing Products at VeriSilicon, presents the “Implementing Transformer Neural Networks for Visual Perception on Embedded Devices” tutorial at the May 2024 Embedded Vision Summit. Transformers are a class of neural network models originally designed for natural language processing. Transformers are also powerful for visual… “Implementing Transformer Neural Networks for

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Eye-Catching Edge AI and Vision Industry Case Study Clips

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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