APPLICATIONS

Accelerating AI-Defined Cars

Convergence of Edge Computing, Machine Vision and 5G-Connected Vehicles Today’s societies are becoming ever more multimedia-centric, data-dependent, and automated. Autonomous systems are hitting our roads, oceans, and air space. Automation, analysis, and intelligence is moving beyond humans to “machine-specific” applications. Computer vision and video for machines will play a significant role in our future digital […]

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“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland

Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking” tutorial at the September 2020 Embedded Vision Summit. The recent COVID-19 outbreak necessitated monitoring in communities such as tracking of quarantined residents and tracking of close-contact interactions with sick individuals. High-density communities also have

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The Rise and Fall of the ADAS Promise Now Disrupted by AVs

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Advanced driver assistance systems (ADAS) have been developed for more than ten years now, in pursuit of increased safety in the world of automobiles. Combining a set of sensors, mostly radars and cameras combined

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Free Webinar Explores Camera ISP Optimization For Improved Computer Vision Accuracy

On March 30, 2021 at 9 am PT (noon ET), Marc Courtemanche, Product Architect at Algolux, will present the free half-hour webinar “Optimizing a Camera ISP to Automatically Improve Computer Vision Accuracy,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Cameras are the most ubiquitous sensor used

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Lattice FPGAs Power Real-Time Radar Adapter Cards

This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. If you were to ask them (and I have), you would discover that many people think of radar in the context of things like airplanes and ships and the evening weather forecast on TV. As

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“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung

Jake Lee, Principal Engineer and Head of the Machine Learning Group at Samsung, presents the “Image-Based Deep Learning for Manufacturing Fault Condition Detection” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Lee explores applying deep learning to analyzing manufacturing parameter data to detect fault conditions. The manufacturing parameter data contains multivariate time

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Building and Deploying a Face Mask Detection Application Using NGC Collections

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software

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CES 2021 – The More than Moore Pivot from Intel Mobileye

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Yole Développement (Yole) has been monitoring the trajectories of Advanced Driver Assist (ADAS) and Autonomous Vehicle (AV) players for many years and has recently published Sensing and computing for ADAS 2020 and Sensors for

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New Heights for High Dynamic Range

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Advances in our HDR processing algorithms are changing the way cameras handle challenging lighting conditions. In everyday life we often encounter strong lighting contrasts—shadows under the sun, bright lamps at night, a garage door opening to reveal

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Machine Vision, a Growing Market Driven by Industrial and Automation Applications

OUTLINE: Market forecasts: The global industrial and automation camera market expands to US$5.5 billion in 2026, at 7.4% CAGR. Yole’s forecast is for 5.0 million units MV cameras in 2026. Yole’s forecast is for about 26.9 million units ADC camera modules in 2026. Technology trends: CIS is now dominating the industrial vision market, with 86%

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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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Walnut Creek, CA 94596

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