TECHNOLOGIES

“Computer Vision Developer Survey,” a March 2019 Silicon Valley Meetup Presentation from the Embedded Vision Alliance

Jeff Bier, Founder of the Embedded Vision Alliance, delivers the presentation "Computer Vision Developer Survey," at the Embedded Vision Alliance's March 2019 Silicon Valley Meetup. Bier shares findings from the Alliance’s recent survey of developers about the software, processors and tools they use to build computer vision and visual AI products.

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Speeding Up Semantic Segmentation Using MATLAB Container from NVIDIA NGC

This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Gone are the days of using a single GPU to train a deep learning model.  With computationally intensive algorithms such as semantic segmentation, a single GPU can take days to optimize a model. But multi-GPU hardware is expensive,

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“Computer Vision Developer Survey,” a March 2019 Silicon Valley Meetup Presentation from the Embedded Vision Alliance (PDF)

The Embedded Vision Alliance hosted a Computer Vision and Visual AI Meetup on the evening of March 13, 2019 in San Jose, California. Speakers included: Satya Mallick, Interim CEO of OpenCV.Org, who provided an overview of the OpenCV deep learning module and a preview of planned improvements to it Bing… “Computer Vision Developer Survey,” a

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Mediatek

“SoCs for Computer Vision-enabled IoT Devices,” a March 2019 Silicon Valley Meetup Presentation from MediaTek (PDF)

The Embedded Vision Alliance hosted a Computer Vision and Visual AI Meetup on the evening of March 13, 2019 in San Jose, California. Speakers included: Satya Mallick, Interim CEO of OpenCV.Org, who provided an overview of the OpenCV deep learning module and a preview of planned improvements to it Bing… “SoCs for Computer Vision-enabled IoT

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“Deep Learning with OpenCV,” a March 2019 Silicon Valley Meetup Presentation from OpenCV.org

The Embedded Vision Alliance hosted a Computer Vision and Visual AI Meetup on the evening of March 13, 2019 in San Jose, California. Speakers included: Satya Mallick, Interim CEO of OpenCV.Org, who provided an overview of the OpenCV deep learning module and a preview of planned improvements to it Bing… “Deep Learning with OpenCV,” a

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Intel Introduction to the RealSense Tracking Camera T265

Roy Karunakaran, Director of Marketing for RealSense at Intel, delivers a product demonstration at the January 2019 Vision Industry and Technology Forum. Specifically, Karunakaran introduces the Intel® RealSense™ T265 camera, which provides off-the-shelf tracking capabilities using Visual SLAM (V-SLAM) and can be used in numerous embedded applications, such as robotics, drones and augmented reality. The

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Harnessing the Power of AI: An Easy Start with Lattice’s sensAI

This article was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. Artificial intelligence, or AI, is everywhere. It’s a revolutionary technology that is slowly pervading more industries than you can imagine. It seems that every company, no matter what their business, needs to have some kind of

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“Tools and Processors for Computer Vision,” Selected Results from the Embedded Vision Alliance’s January 2019 Computer Vision Developer Survey

Since 2015, the Embedded Vision Alliance has surveyed computer vision developers regarding the products they are working on and the hardware and software tools they are using in their projects. This white paper provides selected results from our most recent survey, conducted in November 2018. We received responses from 692… “Tools and Processors for Computer

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Combining an ISP and Vision Processor to Implement Computer Vision

An ISP (image signal processor) in combination with one or several vision processors can collaboratively deliver more robust computer vision processing capabilities than vision processing is capable of providing standalone. However, an ISP operating in a computer vision-optimized configuration may differ from one functioning under the historical assumption that its outputs would be intended for

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3D Imaging Sensor and Hardware Subsystem Market to Reach $57.9 Billion Worldwide by 2025

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Mobile, Automotive, Drones, and Consumer Applications Will Lead in 3D Camera and Sensor Adoption With advances in computer vision technology, it has become possible to capture 3D images using many different sensors and, in the process,

3D Imaging Sensor and Hardware Subsystem Market to Reach $57.9 Billion Worldwide by 2025 Read More +

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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