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“Five+ Techniques for Efficient Implementation of Neural Networks,” a Presentation from Synopsys

Bert Moons, Hardware Design Architect at Synopsys, presents the “Five+ Techniques for Efficient Implementation of Neural Networks” tutorial at the May 2019 Embedded Vision Summit. Embedding real-time, large-scale deep learning vision applications at the edge is challenging due to their huge computational, memory and bandwidth requirements. System architects can mitigate these demands by modifying deep […]

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“Building Complete Embedded Vision Systems on Linux — From Camera to Display,” a Presentation from Montgomery One

Clay D. Montgomery, Freelance Embedded Multimedia Developer at Montgomery One, presents the “Building Complete Embedded Vision Systems on Linux—From Camera to Display” tutorial at the May 2019 Embedded Vision Summit. There’s a huge wealth of open-source software components available today for embedding vision on the latest SoCs from suppliers such as NXP, Broadcom, TI and

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Rapid Prototyping on NVIDIA Jetson Platforms with MATLAB

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This article discusses how an application developer can prototype and deploy deep learning algorithms on hardware like the NVIDIA Jetson Nano Developer Kit with MATLAB. In previous posts, we explored how you can design and train deep learning

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“Creating Efficient, Flexible and Scalable Cloud Computer Vision Applications: An Introduction,” a Presentation from GumGum

Nishita Sant, Computer Vision Manager, and Greg Chu, Senior Computer Vision Scientist, both of GumGum, present the “Creating Efficient, Flexible and Scalable Cloud Computer Vision Applications: An Introduction” tutorial at the May 2019 Embedded Vision Summit. Given the growing utility of computer vision applications, how can you deploy these services in high-traffic production environments? Sant

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Upcoming Boston Imaging and Vision Meetup Presentations Discuss Computer Vision and Microscopy

If you live in (or near) Cambridge, Massachusetts, the Boston Imaging and Vision Meetup Group would like to invite you to a series of talks taking place on the evening of Wednesday, October 16. Presentations include: "Advanced AI Solution for Medical Device" by Ron Soferman, CEO of RSIP Vision, who will share his experience on

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“Selecting the Right Imager for Your Embedded Vision Application,” a Presentation from Capable Robot Components

Chris Osterwood, Founder and CEO of Capable Robot Components, presents the “Selecting the Right Imager for Your Embedded Vision Application” tutorial at the May 2019 Embedded Vision Summit. The performance of your embedded vision product is inexorably linked to the imager and lens it uses. Selecting these critical components is sometimes overwhelming due to the

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Computer Vision Developer Survey from the Embedded Vision Alliance — Tell Us What You Think!

The Embedded Vision Alliance is conducting our annual survey to understand what types of technologies are needed by product developers who are incorporating computer vision in new systems and applications. This is our sixth year conducting this survey and we want to make sure we have your input to help guide the focus of technology

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“Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D Solutions,” a Presentation from Magik Eye

Takeo Miyazawa, Founder and CEO of Magik Eye, presents the “Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D Solutions” tutorial at the May 2019 Embedded Vision Summit. Magik Eye is a global team of computer vision veterans that have developed a new method to determine depth from light directly without the need to

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Standard Machine Vision Software with New Functions: MVTec Presents HALCON 19.11

New release of HALCON Progress Edition with numerous new features Deep learning recognizes anomalies To be released on November 15, 2019 Munich, September 26, 2019 – MVTec Software GmbH (www.mvtec.com), the leading provider of modern machine vision software, will release HALCON 19.11, the latest version of its standard software HALCON, on November 15. The release will include

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“Machine Learning at the Edge in Smart Factories Using TI Sitara Processors,” a Presentation from Texas Instruments

Manisha Agrawal, Software Applications Engineer at Texas Instruments, presents the “Machine Learning at the Edge in Smart Factories Using TI Sitara Processors” tutorial at the May 2019 Embedded Vision Summit. Whether it’s called “Industry 4.0,” “industrial internet of things” (IIOT) or “smart factories,” a fundamental shift is underway in manufacturing: factories are becoming smarter. This

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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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