Synopsys Demonstration of Histogram of Gradients (HoG) on the DesignWare EV6x Vision Processor

Gordon Cooper, Product Marketing Manager for Embedded Vision Processors at Synopsys, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Cooper demonstrates a pedestrian detection application using a Histogram of Gradients (HoG) algorithm running on the DesignWare EV6x Vision Processor. In the demo, a camera is capturing […]

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New in the Portfolio: Cost-Effective Basler Lenses 2/3″

The camera manufacturer Basler is expanding its Basler Lenses series with 2 megapixel standard lenses for sensors up to 2/3″. Ahrensburg, 13 September 2017 – After two successful years with the Basler Original lens series 1/2.5″, the family of Basler Lenses has new members: In addition to the Basler Original Equipment lenses with a resolution

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Renesas Electronics and Codeplay Collaborate on OpenCL and SYCL for ADAS Solutions

Open Standard Software Frameworks Facilitate Development Using Renesas' R-Car SoCs to Deliver Computer Vision and Cognitive Processing TOKYO, Japan, EDINBURGH, Scotland, September 13, 2017 – Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, and Codeplay Software Ltd., experts in high-performance compilers and software optimization for multi-core processing, today announced their collaboration to

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“Deep Learning and Vision Algorithm Development in MATLAB Targeting Embedded GPUs,” a Presentation from MathWorks

Avinash Nehemiah, Product Marketing Manager for Computer Vision, and Girish Venkataramani, Product Development Manager, both of MathWorks, presents the "Deep Learning and Vision Algorithm Development in MATLAB Targeting Embedded GPUs" tutorial at the May 2017 Embedded Vision Summit. In this presentation, you'll learn how to adopt a MATLAB-centric workflow to design, verify and deploy your

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BrainChip Introduces World’s First Commercial Hardware Acceleration of Neuromorphic Computing

Enables 16 channels of simultaneous video processing; Provides a low power, up to 6x speed boost to BrainChip Studio’s CPU-based Artificial Intelligence Software for Object Recognition; 7x more efficient than GPU-accelerated deep learning systems San Francisco, California – September 12, 2017 – BrainChip Holdings Ltd. (ASX: BRN) ("BrainChip" or "the Company"), a leading developer of

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Nextchip License CEVA Imaging and Vision Platform for ADAS Vision System

APACHE4 pre-processor includes fully-programmable CEVA-XM4 DSP providing complete flexibility for a variety of ADAS applications, varieties of ADAS workloads, including image enhancement, feature extraction and classification; Companies to attend AutoSens Conference in Brussels, 19-21 September MOUNTAIN VIEW, Calif., – September 12, 2017 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for

Nextchip License CEVA Imaging and Vision Platform for ADAS Vision System Read More +

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Embedded Vision Insights: September 12, 2017 Edition

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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Intel Demonstration of Graphics Acceleration of Both Traditional and Deep Learning Vision Algorithms

Sriram Mirali, Graphics Software Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Mirali demonstrates the acceleration of both traditional and deep learning computer vision algorithms using Intel graphics hardware.

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“How Image Sensor and Video Compression Parameters Impact Vision Algorithms,” a Presentation from Amazon Lab126

Ilya Brailovskiy, Principal Engineer at Amazon Lab126, presents the "How Image Sensor and Video Compression Parameters Impact Vision Algorithms" tutorial at the May 2017 Embedded Vision Summit. Recent advances in deep learning algorithms have brought automated object detection and recognition to human accuracy levels on various test datasets. But algorithms that work well on an

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“PCI Express – A High-bandwidth Interface for Multi-camera Embedded Systems,” a Presentation from XIMEA

Max Larin, CEO of XIMEA, presents the "PCI Express – A High-bandwidth Interface for Multi-camera Embedded Systems" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Larin provides an overview of existing camera interfaces for embedded systems and explores their strengths and weaknesses.  He also examines the differences between integration of a sensor

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