Brian Dipert

Region of Interest Tracking Use Case: Camera Effects

This blog post was originally published by Teleidoscope. It is reprinted here with the permission of Teleidoscope. Quick Recap Region of Interest(ROI) trackers are used for tracking arbitrary moving objects or regions of an image. One example of this might be tracking something like a bottle, a car, a shoe or a face. Camera Effects […]

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“Pioneering Analog Compute for Edge AI to Overcome the End of Digital Scaling,” a Presentation from Mythic

Mike Henry, CEO and Founder of Mythic, presents the “Pioneering Analog Compute for Edge AI to Overcome the End of Digital Scaling” tutorial at the May 2019 Embedded Vision Summit. AI inference at the edge will continue to create insatiable demand for compute performance in power- and cost-constrained form factors. Taking into account past trends,

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Now Available – Design-in Samples of the Basler boost Camera and Basler CXP-12 Interface Card

The new CoaXPress 2.0 (CXP-12) evaluation kits are now ready for orders. The kit consists of a Basler boost camera, the corresponding Basler CXP-12 interface card and the CXP-12 accessory starter kit for a faster and less expensive evaluation phase. For the activation, the pylon Camera Software Suite is an impressive SDK for the camera

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“The Xilinx AI Engine: High Performance with Future-proof Architecture Adaptability,” a Presentation from Xilinx

Nick Ni, Director of Product Marketing at Xilinx, presents the “Xilinx AI Engine: High Performance with Future-proof Architecture Adaptability” tutorial at the May 2019 Embedded Vision Summit. AI inference demands orders- of-magnitude more compute capacity than what today’s SoCs offer. At the same time, neural network topologies are changing too quickly to be addressed by

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“Designing Your Next Vision Product Using a Systems Approach,” a Presentation from Teknique

Ben Bodley, CEO of Teknique, presents the “Designing Your Next Vision Product Using a Systems Approach,” tutorial at the May 2019 Embedded Vision Summit. Today it’s easier than ever to create a credible demo of a new smart camera product for a specific application. But the distance from a demo to a robust product is

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Embedded Vision Insights: August 27, 2019 Edition

LETTER FROM THE EDITOR Dear Colleague, Are you interested in learning more about key trends driving the proliferation of visual AI? The Embedded Vision Alliance will deliver a free webinar on this topic on October 16. Jeff Bier, founder of the Alliance and co-founder and President of BDTI, will examine the four most important trends

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“Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoCs,” a Presentation from Qualcomm

Felix Baum, Director of Product Management for AI Software at Qualcomm, presents the “Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoCs” tutorial at the May 2019 Embedded Vision Summit. Increasingly, machine learning models are being deployed at the edge, and these models are getting bigger. As a result, we are hitting

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Huawei Launches Ascend 910, the World’s Most Powerful AI Processor, and MindSpore, an All-scenario AI Computing Framework

Eric Xu: We promised a full-stack, all-scenario AI portfolio. And today we delivered. [Shenzhen, China, August 23, 2019] Huawei officially launched the world's most powerful AI processor – the Ascend 910 – as well as an all-scenario AI computing framework, MindSpore. "We have been making steady progress since we announced our AI strategy in October

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Robots Learning to Recognize Faces and Objects

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Numerous customer service applications – from manufacturing to order fulfillment – require recognition of faces and objects. Customer service robots need to recognize faces and associate them with customer data to provide personalized assistance. Tasks that

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“Using Blockchain to Create Trusted Embedded Vision Systems,” a Presentation from Basler

Thies Möller, Technical Architect at Basler, presents the “Using Blockchain to Create Trusted Embedded Vision Systems” tutorial at the May 2019 Embedded Vision Summit. In many IoT architectures, sensor data must be passed to cloud services for further processing. Traditionally, “trusted third parties” have been used to secure this data. In this talk, Möller explores

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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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