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Simplifying Camera Calibration to Enhance AI-powered Multi-Camera Tracking

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning process to enhance system accuracy in the first part and second part. NVIDIA Metropolis […]

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“Multimodal LLMs at the Edge: Are We There Yet?,” An Embedded Vision Summit Expert Panel Discussion

Sally Ward-Foxton, Senior Reporter at EE Times, moderates the “Multimodal LLMs at the Edge: Are We There Yet?” Expert Panel at the May 2024 Embedded Vision Summit. Other panelists include Adel Ahmadyan, Staff Engineer at Meta Reality Labs, Jilei Hou, Vice President of Engineering and Head of AI Research at… “Multimodal LLMs at the Edge:

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May 2024 Embedded Vision Summit Opening Remarks (May 23)

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2024 Embedded Vision Summit on May 23, 2024. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the… May 2024 Embedded Vision Summit

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May 2024 Embedded Vision Summit Opening Remarks (May 22)

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2024 Embedded Vision Summit on May 22, 2024. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the… May 2024 Embedded Vision Summit

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Free Online Symposium Explores LLMs and VLMs for Computer Vision

On October 23, 2024 at 9 am PT (noon ET), the Edge AI and Vision Alliance will deliver the free symposium “Your Next Computer Vision Model Might be an LLM: Generative AI and the Move From Large Language Models to Vision Language Models.” Here’s the description, from the event registration page: The past decade has

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“Understand the Multimodal World with Minimal Supervision,” a Keynote Presentation from Yong Jae Lee

Yong Jae Lee, Associate Professor in the Department of Computer Sciences at the University of Wisconsin-Madison and CEO of GivernyAI, presents the “Learning to Understand Our Multimodal World with Minimal Supervision” tutorial at the May 2024 Embedded Vision Summit. The field of computer vision is undergoing another profound change. Recently,… “Understand the Multimodal World with

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“Market and Technology Trends in Automotive ADAS,” a Presentation from the Yole Group

Florian Domengie, Senior Technology and Market Analyst at the Yole Group, presents the “Market and Technology Trends in Automotive ADAS” tutorial at the May 2024 Embedded Vision Summit. In this talk, Domengie takes an in-depth look at the rapidly advancing and fast-growing space of driver assistance and autonomous driving. He… “Market and Technology Trends in

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Onsemi Enters the Realm of IR by Acquiring SWIR Vision Systems

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Onsemi, a leading CMOS image sensor supplier, has acquired SWIR Vision Systems, a pioneer in quantum-dots-based short-wave infrared (SWIR) imaging technology. Yole Group tracks and reports on these technologies through reports like

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Upcoming Webinar Explores the Power of FPGAs in Embedded Vision Systems

On September 5, 2024 at 9:30 am PT and September 6, 2024 at 11:00 am CEST, Alliance Member companies e-con Systems and Lattice Semiconductor will deliver two sessions of the free webinar “Maximize the Power of FPGAs in Embedded Vision Systems.” From the event page: Join industry experts as they explore the cutting-edge world of

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Ceva Wins Prestigious OFweek China Automotive Industry Award 2024

Ceva-Waves UWB low power ultra-wideband IP named a winner of the Cabin-Driving Integrated Technology Breakthrough Award in China ROCKVILLE, MD., August 28, 2024 – Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, announced today that its

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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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