TechOnline

Free On-demand Webinar Explores Implementing Deep Learning in Embedded Vision Systems

Now available for free on-demand viewing is the recent webinar "Implementing Deep Learning in Embedded Vision Systems," delivered by Synopsys' Gordon Cooper (Product Marketing Manager for Embedded Vision Processors, and the co-author of a collaborative article published by the Embedded Vision Alliance) and Bo Wu (Staff Corporate Applications Engineer, and an Embedded Vision Summit presenter […]

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Texas Instruments Demonstration of GPU-less 3D Surround View

Shashank Dabral from the Automotive Imaging & Vision Group at Texas Instruments demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Dabral demonstrates GPU-less 3D surround view using the company's TDA3 processor. Gain a new perspective and advantage for 3D surround view systems with a lower cost

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SiliconCatalyst

Upcoming Silicon Valley Presentation Discusses Deep Learning and Embedded Vision

On the evening of Wednesday, March 22, Embedded Vision Alliance Founder Jeff Bier will present "When Every Device Can See-AI & Embedded Vision in Products," sponsored by Silicon Catalyst and taking place at the Techcode Accelerator in Mountain View, CA. From the event page: In nature, intelligence and vision are tightly linked: virtually every species

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Cadence Demonstration of Stereo Camera-based Depth Mapping

Pulin Desai, Product Marketing Director at Cadence, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Desai demonstrates a stereo camera algorithm called Semi Global Matching, developed by partner Uurmi Systems, demonstrating a depth map application and running in real time on a FPGA-based implementation of Cadence's

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Image Quality Analysis, Enhancement and Optimization Techniques for Computer Vision

This article explains the differences between images intended for human viewing and for computer analysis, and how these differences factor into the hardware and software design of a camera intended for computer vision applications versus traditional still and video image capture. It discusses various methods, both industry standard and proprietary, for assessing and optimizing computer

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What is HALCON Embedded?

This video from Alliance member company MVTec explains how embedded architectures differ from typical setups in machine vision and shows how the full power of MVTec’s standard software HALCON can be brought to your embedded device, with HALCON Embedded.

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bdti

Deployable Artificial Neural Networks Will Change Everything

This blog post was originally published in the mid-February 2017 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. In recent months, evidence has continued to mount that artificial neural networks of the "deep learning" variety are significantly better than previous techniques at a diverse range of visual understanding tasks.

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Cyclone-10-IoT-300x200

Intel Introduces Versatile New FPGA for Industrial and Automotive Markets

February 13, 2017 – To serve the growing number of Internet of Things (IoT) applications, Intel Corporation today announced the Intel® Cyclone® 10 family of field programmable gate arrays (FPGAs). Designed to deliver fast and power-efficient processing, they have a variety of uses, including for automotive, industrial automation, pro audio visual and vision systems. As

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Embedded Intelligent Vision is Not Just a Nice-to-have – It’s a Necessity

Demand for computer vision has never been stronger. Propelled by advances in deep learning, a staggering number of devices and applications utilizing vision and artificial intelligence (AI) have hit the market. While employing vision and deep learning in embedded systems poses a challenge, it is becoming a requirement. Here is a look at the variety

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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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