Videos

Videantis Demonstration of Its Deep Learning, Computer Vision and Video Processing Solutions

Summit 2019, videantis, Videos /

Tony Picard, Vice President of Sales at videantis, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Picard gives an overview of videantis and demonstrates deep learning, computer vision, and video coding technology for automotive and other embedded vision applications. Headquartered in Hannover, Germany, videantis provides leading computer […]

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Xnor.ai Demonstration of New AI Technologies that Reshape Potential For the Industry

Summit 2019, Videos, Xnor.ai /

Peter Zatloukal, Vice President of Engineering at Xnor.ai, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Zatloukal showcases new AI technologies that reshape potential for the industry. Zatloukal begins by demonstrating how Xnor's deep neural networks are capable of running on edge devices as small and low-cost

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Cadence Demonstration of a 3D Radar Imaging System on Vayyar’s Platform Powered by a Tensilica Vision DSP

Cadence, Summit 2019, Videos /

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates an advanced mmWave 3D Imaging Radar Solution for occupancy detection in smart homes, automotive, retail, and more, running on a Tensilica Vision DSP-based platform by Vayyar.

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Cadence Demonstration of Real-Time Depth Sensing on a Tensilica Vision DSP-Based Platform

Cadence, Summit 2019, Videos /

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates low-power, real-time, stereo camera-based depth sensing targeted for drones, industrial robotics, and AGVs, running on a customer’s platform powered by a Tensilica Vision P6 DSP-based SoC.

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Cadence Demonstration of a Recurrent Neural Network-Based Show Attend and Tell on a Tensilica DSP Platform

Cadence, Summit 2019, Videos /

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates attention-driven image tagging on the Dreamchip development platform, powered by four Tensilica® Vision P6 DSPs. The demo showcases high throughput and accurate fixed-point deployment of a network based on a Recurrent Neural Network

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“Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors,” a Presentation from IHS Markit

Algorithms, Edge AI and Vision Alliance, Market Analysis, Processors, Software, Summit 2019, Tools, Videos /

Tom Hackenberg, Principal Analyst at IHS Markit, presents the “Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors” tutorial at the May 2019 Embedded Vision Summit. Artificial intelligence is not a new concept. Machine learning has been used for decades in large server and high performance computing environments. Why

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“How to Choose a 3D Vision Sensor,” a Presentation from Capable Robot Components

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Chris Osterwood, Founder and CEO of Capable Robot Components, presents the “How to Choose a 3D Vision Sensor” tutorial at the May 2019 Embedded Vision Summit. Designers of autonomous vehicles, robots and many other systems are faced with a critical challenge: Which 3D vision sensor technology to use? There are a wide variety of sensors

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

Algorithms, Processors, Software, Summit 2019, Synopsys, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2019, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2019, Tools, Videos /

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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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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