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

Cadence Demonstrations of Generative AI and People Tracking at the Edge

Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Borkar demonstrates two applications running on customers’ SoCs, showcasing Cadence’s pervasiveness in AI. The first demonstration is of

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“A Survey of Model Compression Methods,” a Presentation from Instrumental

Rustem Feyzkhanov, Staff Machine Learning Engineer at Instrumental, presents the “Survey of Model Compression Methods” tutorial at the May 2023 Embedded Vision Summit. One of the main challenges when deploying computer vision models to the edge is optimizing the model for speed, memory and energy consumption. In this talk, Feyzkhanov provides a comprehensive survey of

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“Reinventing Smart Cities with Computer Vision,” a Presentation from Hayden AI

Vaibhav Ghadiok, Co-founder and CTO of Hayden AI, presents the “Reinventing Smart Cities with Computer Vision” tutorial at the May 2023 Embedded Vision Summit. Hayden AI has developed the first AI-powered data platform for smart and safe city applications such as traffic enforcement, parking and asset management. In this talk, Ghadiok presents his company’s privacy-preserving

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“Learning for 360° Vision,” a Presentation from Google

Yu-Chuan Su, Research Scientist at Google, presents the “Learning for 360° Vision,” tutorial at the May 2023 Embedded Vision Summit. As a core building block of virtual reality (VR) and augmented reality (AR) technology, and with the rapid growth of VR and AR, 360° cameras are becoming more available and more popular. People now create,

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“Introduction to Optimizing ML Models for the Edge,” a Presentation from Cisco Systems

Kumaran Ponnambalam, Principal Engineer of AI, Emerging Tech and Incubation at Cisco Systems, presents the “Introduction to Optimizing ML Models for the Edge” tutorial at the May 2023 Embedded Vision Summit. Edge computing opens up a new world of use cases for deep learning across numerous markets, including manufacturing, transportation, healthcare and retail. Edge deployments

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“Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-aware Algorithms,” a Presentation from Arizona State University

Jae-sun Seo, Associate Professor at Arizona State University, presents the “Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-aware Algorithms” tutorial at the May 2023 Embedded Vision Summit. Spiking neural networks (SNNs) mimic biological nervous systems. Using event-driven computation and communication, SNNs achieve very low power consumption. However, two important issues

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“Item Recognition in Retail,” a Presentation from 7-Eleven

Sumedh Datar, Senior Machine Learning Engineer at 7-Eleven, presents the “Item Recognition in Retail” tutorial at the May 2023 Embedded Vision Summit. Computer vision has vast potential in the retail space. 7-Eleven is working on fast frictionless checkout applications to better serve customers. These solutions range from faster checkout systems to fully automated cashierless stores.

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“Lessons Learned in Developing a High-volume, Vision-enabled Coffee Maker,” an Interview with Keurig Dr Pepper

Jason Lavene, Director of Advanced Development Engineering at Keurig Dr Pepper, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Lessons Learned in Developing a High-volume, Vision-enabled Coffee Maker” interview at the May 2023 Embedded Vision Summit. Why did Keurig Dr Pepper—a $12B beverage company—spend years perfecting visual AI technology

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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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