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Brian Dipert

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Lattice and Helion Accelerate Embedded Vision Designs with Turnkey ISP Solution

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FPGA-based Embedded Vision Development Kit Available Now at $199 USD for a Limited Time Helion’s pre-packaged ISP options for Lattice’s Embedded Vision Development Kit offers an efficient and reliable design solution for edge applications. Complete solution reduces development time and speeds time-to-market. Free evaluation version of Helion® ISP now available for the promotionally priced Lattice […]

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“Blending Cloud and Edge Machine Learning to Deliver Real-time Video Monitoring,” a Presentation from Camio

Algorithms, Camio, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Processors, Security, Sensors, Software, Tools, Videos /

Carter Maslan, CEO of Camio, presents the "Blending Cloud and Edge Machine Learning to Deliver Real-time Video Monitoring" tutorial at the May 2017 Embedded Vision Summit. Network cameras and other edge devices are collecting ever-more video – far more than can be economically transported to the cloud. This argues for putting intelligence in edge devices.

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Free Webinar Explores Efficient Processing for Deep Learning

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On September 28, 2017 at 10 am PT (1 pm ET), Dr. Vivienne Sze, Associate Professor in the Electrical Engineering and Computer Science Department at MIT (www.rle.mit.edu/eems), will present a free one-hour webinar, "Efficient Processing for Deep Learning: Challenges and Opportunities," organized by the Embedded Vision Alliance. Here's the description, from the event registration page:

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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

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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, Edge AI and Vision Alliance, Sensors, 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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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

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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, 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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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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