CEVA Demonstration of Its Neural Network Development Platform Running GoogleNet

Videos /

Yair Siegel, Director of Segment Marketing for CEVA, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Siegel demonstrates the company's Neural Network Development Platform running the GoogleNet deep learning model, which has been ported to the CEVA-XM6 imaging and computer vision processor IP core using the […]

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CEVA Demonstration of Its Neural Network Development Platform Running YOLO

Videos /

Yair Siegel, Director of Segment Marketing for CEVA, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Siegel demonstrates the company's Neural Network Development Platform running the YOLO (You Only Look Once) deep learning model, which has been ported to the CEVA-XM6 imaging and computer vision processor

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“Image Sensor Formats and Interfaces for IoT Applications,” a Presentation from Sony

Algorithms & Models, Edge AI and Vision Alliance, Sensors and Cameras, Videos /

Tatsuya Sugioka, Imaging System Architect at Sony Corporation, presents the "Image Sensor Formats and Interfaces for IoT Applications" tutorial at the May 2017 Embedded Vision Summit. Image sensors provide the essential input for embedded vision. Hence, the choice of image sensor format and interface is critical for embedded vision system developers. In this talk, Sugioka

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EVA180x100

Embedded Vision Insights: September 26, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, Deep neural networks (DNNs) are proving very effective for a variety of challenging machine perception tasks, but these algorithms are very computationally demanding. To enable DNNs to be used in practical applications, it’s critical to find efficient ways to implement them. The Embedded Vision Alliance will delve into these

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Cadence Demonstration of the First Vision DSP Compliant with OpenVX 1.1

Videos /

Megha Dagha, Senior Technical Marketing Manager at Cadence, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Daga demonstrates an edge-detection algorithm optimally implemented using OpenVX on a dual-core system, using an Xtensa® processor as the host and a Vision processor as the DSP. OpenVX is a

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“Collaboratively Benchmarking and Optimizing Deep Learning Implementations,” a Presentation from General Motors

Algorithms & Models, Automotive, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

Unmesh Bordoloi, Senior Researcher at General Motors, presents the "Collaboratively Benchmarking and Optimizing Deep Learning Implementations" tutorial at the May 2017 Embedded Vision Summit. For car manufacturers and other OEMs, selecting the right processors to run deep learning inference for embedded vision applications is a critical but daunting task.  One challenge is the vast number

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“New Dataflow Architecture for Machine Learning,” a Presentation from Wave Computing

Algorithms & Models, Edge AI and Vision Alliance, Processors, Software, Tools, Videos, Wave Computing /

Chris Nicol, CTO at Wave Computing, presents the "New Dataflow Architecture for Machine Learning" tutorial at the May 2017 Embedded Vision Summit. Data scientists have made tremendous advances in the use of deep neural networks (DNNs) to enhance business models and service offerings. But training DNNs can take a week or more using traditional hardware

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Use a Camera Model to Accelerate Camera System Design

Articles, Edge AI and Vision Alliance, Technical Articles /

This blog post was originally published by Twisthink. It is reprinted here with the permission of Twisthink. The exciting world of embedded cameras is experiencing rapid growth. Digital-imaging technology is being integrated into a wide range of new products and systems. Embedded cameras are becoming widely adopted in the automotive market, security and surveillance markets,

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VariablePrecision

Imagination Reveals PowerVR Neural Network Accelerator (NNA) with 2x the Performance and Half the Bandwidth of Nearest Competitor

News /

First dedicated hardware solution with flexible bit-depth support from 16-bit down to 4-bit LONDON, UK – 21st September, 2017 – Imagination Technologies (IMG.L) reveals its complete, standalone hardware IP neural network accelerator, with industry-leading area efficiency delivered by a specialized PowerVR architecture implementation for neural networks (NNs). Companies building SoCs for mobile, surveillance, automotive and

Imagination Reveals PowerVR Neural Network Accelerator (NNA) with 2x the Performance and Half the Bandwidth of Nearest Competitor 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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