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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Microchip Technology Demonstration of Real-time Object and Facial Recognition with Edge AI Platforms

Swapna Guramani, Applications Engineer for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Guramani demonstrates her company’s latest AI/ML capabilities in action: real-time object recognition using the SAMA7G54 32-bit MPU running Edge Impulse’s FOMO model, and facial recognition powered by TensorFlow Lite’s Mobile

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Microchip Technology Demonstration of AI-powered Face ID on the Polarfire SoC FPGA Using the Vectorblox SDK

Avery Williams, Channel Marketing Manager for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Williams demonstrates ultra-efficient AI-powered facial recognition on Microchip’s PolarFire SoC FPGA using the VectorBlox Accelerator SDK. Pre-trained neural networks are quantized to INT8 and compiled to run directly on

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Chips&Media Demonstration of Its WAVE-N NPU In High-quality, High-resolution Imaging Applications

Andy Lee, Vice President of U.S. Marketing at Chips&Media, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates example high-quality, high-resolution imaging applications in edge devices implemented using WAVE-N, his company’s custom NPU. Key notes: Extreme efficiency, up to 90% of MAC utilization, for

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Chips&Media Introduction to Its WAVE-N Specialized Video Processing NPU IP

Andy Lee, Vice President of U.S. Marketing at Chips&Media, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee introduces WAVE-N, his company’s specialized video processing NPU IP. Key notes: Extreme efficiency, up to 90% of MAC utilization, for modern CNN computation Highly optimized for real-time

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3LC Demonstration of Catching Synthetic Slip-ups with 3LC

Paul Endresen, CEO of 3LC, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Andresen demonstrates the investigation of a curious embryo classification study from Norway, where synthetic data was supposed to help train a model – but something didn’t quite hatch right. Using 3LC to

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3LC Demonstration of Debugging YOLO with 3LC’s Training-time Truth Detector

Paul Endresen, CEO of 3LC, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Andresen demonstrates how to uncover hidden treasures in the COCO dataset – like unlabeled forks and phantom objects – using his platform’s training-time introspection tools. In this demo, 3LC eavesdrops on a

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VeriSilicon Demonstration of the Open Se Cura Project

Chris Wang, VP of Multimedia Technologies and a member of CTO office at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Wang demonstrates examples from the Open Se Cura Project, a joint effort between VeriSilicon and Google. The project showcases a scalable, power-efficient, and

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VeriSilicon Demonstration of Advanced AR/VR Glasses Solutions

Dr. Mahadev Kolluru, Senior VP of North America and India Business at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Dr. Kolluru demonstrates products developed using the company’s IP licensing and turnkey silicon design services. Dr. Kolluru highlights how VeriSilicon supports cutting-edge AI and

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Synopsys and Visionary.ai Demonstration of a Low-light Real-time AI Video Denoiser Tailored for NPX6 NPU IP

Gordon Cooper, Principal Product Manager at Synopsys, and David Jarmon, Senior VP of Worldwide Sales at Visionary.ai, demonstrates the companies’ latest edge AI and vision technologies and products in Synopsys’ booth at the 2025 Embedded Vision Summit. Specifically, Cooper and Jarmon demonstrate the future of low-light imaging with Visionary.ai’s cutting-edge real-time AI video denoiser. This

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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

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