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“Recent Trends in Industrial Machine Vision: Challenging Times,” a Presentation from the Yole Group

Axel Clouet, Technology and Market Analyst for Imaging at the Yole Group, presents the “Recent Trends in Industrial Machine Vision: Challenging Times” tutorial at the May 2024 Embedded Vision Summit. For decades, cameras have been increasingly used in industrial applications as key components for automation. After two years of rapid growth in 2021 and 2022, […]

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Endeavor Air Expands dentCHECK Use to Enhance the Quality and Efficiency of Dent-mapping Workflows

Endeavor Air has implemented dentCHECK at multiple bases to streamline dent-mapping and reporting workflows. Constance, Germany and Rancho Cucamonga, California – Aug 22, 2024 – “dentCHECK was the right device to expand our capabilities and advance Endeavor Air’s efforts of integrating more technology in our hangars,” said Bob Olson, Director of Quality and Training, Endeavor

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“Identifying and Mitigating Bias in AI,” a Presentation from Intel

Nikita Tiwari, AI Enabling Engineer for OEM PC Experiences in the Client Computing Group at Intel, presents the “Identifying and Mitigating Bias in AI” tutorial at the May 2024 Embedded Vision Summit. From autonomous driving to immersive shopping, and from enhanced video collaboration to graphic design, AI is placing a wealth of possibilities at our

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“The Fundamentals of Training AI Models for Computer Vision Applications,” a Presentation from GMAC Intelligence

Amit Mate, Founder and CEO of GMAC Intelligence, presents the “Fundamentals of Training AI Models for Computer Vision Applications” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Mate introduces the essential aspects of training convolutional neural networks (CNNs). He discusses the prerequisites for training, including models, data and training frameworks, with an

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Snapdragon Powers the Future of AI in Smart Glasses. Here’s How

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. A Snapdragon Insider chats with Qualcomm Technologies’ Said Bakadir about the future of smart glasses and Qualcomm Technologies’ role in turning it into a critical AI tool Artificial intelligence (AI) is increasingly winding its way through our

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“An Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies

Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the May 2024 Embedded Vision Summit. Vision applications often rely on object detectors, which determine the nature and location of objects in a scene. But many vision applications require a different type of visual understanding: semantic

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How Cameras Maximize the Power of Modern Dental Applications

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Modern dentistry has been transformed by advanced cameras, aiding in diagnosis, treatment, and patient communication. High-quality intraoral cameras capture detailed images of teeth and gums, and cameras in dental loupes and surgical lights enhance procedures.

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“Augmenting Visual AI through Radar and Camera Fusion,” a Presentation from Au-Zone Technologies

Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Augmenting Visual AI through Radar and Camera Fusion” tutorial at the May 2024 Embedded Vision Summit. In this presentation Taylor discusses well-known limitations of camera-based AI and how radar can be leveraged to address these limitations. He covers common radar data representations

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Upcoming Webinar Explores How AI Can Make Cameras See In the Dark

On September 10, 2024 at 9:00 am PT (noon ET), Alliance Member companies Ceva and Visionary.ai will deliver the free webinar “Can AI Make Cameras See In the Dark? Real-Time Video Enhancement.” From the event page: As cameras become ubiquitous in applications such as surveillance, mobile, drones, and automotive systems, achieving clear vision 24/7 under

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NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques including quantization, sparsity, and pruning. These techniques reduce model complexity and enable downstream inference frameworks like NVIDIA

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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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