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.

Alliance Website Videos

Synopsys Demonstration of Smart Architectural Exploration for AI SoCs

Guy Ben Haim, Senior Product Manager, and Gururaj Rao, Field Applications Engineer, both of Synopsys, demonstrate the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Ben Haim and Rao demonstrate how to optimize neural network performance with the Synopsys ARC MetaWare MX Development Toolkit. Ben Haim and

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SqueezeBits Demonstration of On-device LLM Inference, Running a 2.4B Parameter Model on the iPhone 14 Pro

Taesu Kim, CTO of SqueezeBits, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kim demonstrates a 2.4-billion-parameter large language model (LLM) running entirely on an iPhone 14 Pro without server connectivity. The device operates in airplane mode, highlighting on-device inference using a hybrid approach that

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Sony Semiconductor Demonstration of AI Vision Devices and Tools for Industrial Use Cases

Zachary Li, Product and Business Development Manager at Sony America, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Li demonstrates his company’s AITRIOS products and ecosystem. Powered by the IMX500 intelligent vision sensor, Sony AITRIOS collaborates with Raspberry Pi for development kits and with leading

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Sony Semiconductor Demonstration of Its Open-source Edge AI Stack with the IMX500 Intelligent Sensor

JF Joly, Product Manager for the AITRIOS platform at Sony Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Joly demonstrates Sony’s fully open-source software stack that enables the creation of AI-powered cameras using the IMX500 intelligent vision sensor. In this demo, Joly illustrates how

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Sony Semiconductor Demonstration of On-sensor YOLO Inference with the Sony IMX500 and Raspberry Pi

Amir Servi, Edge AI Product Manager at Sony Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Servi demonstrates the IMX500 — the first vision sensor with integrated edge AI processing capabilities. Using the Raspberry Pi AI Camera and Ultralytics YOLOv11n models, Servi showcases real-time

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Namuga Vision Connectivity Demonstration of Compact Solid-state LiDAR for Automotive and Robotics Applications

Min Lee, Business Development Team Leader at Namuga Vision Connectivity, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates a compact solid-state LiDAR solution tailored for automotive and robotics industries. This solid-state LiDAR features high precision, fast response time, and no moving parts—ideal for

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Namuga Vision Connectivity Demonstration of an AI-powered Total Camera System for an Automotive Bus Solution

Min Lee, Business Development Team Leader at Namuga Vision Connectivity, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates his company’s AI-powered total camera system. The system is designed for integration into public transportation, especially buses, enhancing safety and automation. It includes front-view, side-view,

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Namuga Vision Connectivity Demonstration of a Real-time Eye-tracking Camera Solution with a Glasses-free 3D Display

Min Lee, Business Development Team Leader at Namuga Vision Connectivity, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates a real-time eye-tracking camera solution that accurately detects the viewer’s eye position and angle. This data enables a glasses-free 3D display experience using an advanced

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Micron Demonstration of Its Key Partner Enablement, Driving Solutions for AI and VLMs at the Edge

Wil Florentino, Senior Strategic Marketing Manager for Industrial at Micron, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Florentino demonstrates examples of its extensive partnerships and customers enabling artificial intelligence (AI) for the global market. Florentino showcases two specific demos with different use cases. The

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Micron Demonstration of Memory in Automotive: Great Things Come in Small Packages

Bill Stafford, Marketing Solutions Director at Micron, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Stafford demonstrates his company’s collaboration with Infineon on the TRAVEO T2G CYT4EN graphics microcontroller teamed with Micron LPDDR4 and e.MMC, which give automotive clusters media rich content, high performance, 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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