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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 Transformers Are Changing the Nature of Deep Learning Models,” a Presentation from Synopsys

Tom Michiels, System Architect for ARC Processors at Synopsys, presents the “How Transformers Are Changing the Nature of Deep Learning Models” tutorial at the May 2023 Embedded Vision Summit. The neural network models used in embedded real-time applications are evolving quickly. Transformer networks are a deep learning approach that has… “How Transformers Are Changing the

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“Selecting Image Sensors for Embedded Vision Applications: Three Case Studies,” a Presentation from Avnet

Monica Houston, Technical Solutions Manager at Avnet, presents the “Selecting Image Sensors for Embedded Vision Applications: Three Case Studies,” tutorial at the May 2023 Embedded Vision Summit. Selecting the appropriate type of image sensor is essential for reliable and accurate performance of vision applications. In this talk, Houston explores some… “Selecting Image Sensors for Embedded

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“Modernizing the Development of AI-based IoT Devices with Wedge,” a Presentation from Midokura, a Sony Group Company

Dan Mihai Dumitriu, Chief Technology Officer of Midokura, a Sony Group Company, presents the “Modernizing the Development of AI-based IoT Devices with Wedge” tutorial at the May 2023 Embedded Vision Summit. IoT device development has traditionally relied on a monolithic approach, with all firmware developed by a single vendor using… “Modernizing the Development of AI-based

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“Using a Neural Processor for Always-sensing Cameras,” a Presentation from Expedera

Sharad Chole, Chief Scientist and Co-founder of Expedera, presents the “Using a Neural Processor for Always-sensing Cameras” tutorial at the May 2023 Embedded Vision Summit. Always-sensing cameras are becoming a common AI-enabled feature of consumer devices, much like the always-listening Siri or Google assistants. They can enable a more natural… “Using a Neural Processor for

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“A New, Open-standards-based, Open-source Programming Model for All Accelerators,” a Presentation from Codeplay Software

Charles Macfarlane, Chief Business Officer at Codeplay Software, presents the “New, Open-standards-based, Open-source Programming Model for All Accelerators” tutorial at the May 2023 Embedded Vision Summit. As demand for AI grows, developers are attempting to squeeze more and more performance from accelerators. Ideally, developers would choose the accelerators best suited… “A New, Open-standards-based, Open-source Programming

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“Efficiently Map AI and Vision Applications onto Multi-core AI Processors Using CEVA’s Parallel Processing Framework,” a Presentation from CEVA

Rami Drucker, Machine Learning Software Architect at CEVA, presents the “Efficiently Map AI and Vision Applications onto Multi-core AI Processors Using CEVA’s Parallel Processing Framework” tutorial at the May 2023 Embedded Vision Summit. Next-generation AI and computer vision applications for autonomous vehicles, cameras, drones and robots require higher-than-ever computing power.… “Efficiently Map AI and Vision

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“Streamlining Embedded Vision Development with Smart Vision Components,” a Presentation from Basler

Selena Schwarm, Team Lead for Global Partner Management at Basler, presents the “Streamlining Embedded Vision Development with Smart Vision Components” tutorial at the May 2023 Embedded Vision Summit. The evolution of embedded vision and imaging technologies is enabling the development of powerful applications that would not have been practical previously.… “Streamlining Embedded Vision Development with

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“A Very Low-power Human-machine Interface Using ToF Sensors and Embedded AI,” a Presentation from 7 Sensing Software

Di Ai, Machine Learning Engineer at 7 Sensing Software, presents the “Very Low-power Human-machine Interface Using ToF Sensors and Embedded AI” tutorial at the May 2023 Embedded Vision Summit. Human-machine interaction is essential for smart devices. But growing needs for low power consumption and privacy pose challenges to developers of… “A Very Low-power Human-machine Interface

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Eye-Catching Edge AI and Vision Industry Case Study Clips

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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