Brian Dipert

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Imaginghub.com Embedded Vision Web Portal Goes Live

Imaginghub is a unique online community portal for engineers, software developers, and hobbyists interested in embedded vision and potential applications, ranging from beginner to professional level. To support the development of embedded vision solutions, Imaginghub has teamed up with major key players of the industry such as Advantech, NVIDIA, and Xilinx. Ahrensburg, 01 September 2016  […]

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VisionSystemsDesign

Evaluating and Implementing Deep Learning Processor Alternatives for Vision

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Convolutional neural networks (CNNs) and other deep learning techniques, as I've recently noted, are quickly becoming legitimate options for implementing object recognition and other computer vision capabilities. With the growing popularity of CNNs, there’s a

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Xilinx Demonstration of Multi-Object Detection

Aaron Behman, Director of Corporate Strategy and Marketing for Embedded Vision at Xilinx, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Behman demonstrates how Xilinx's Alliance Member, iVeia, uses the UltraScale+ MPSoC to perform multi object detection. Combining Xilinx's UltraScale+ MPSoC and iVeia's algorithm, the program

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Sighthound Demonstration of Face Recognition

Steve Chen, Vice President of Sales and Marketing at Sighthound, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Chen demonstrates real-time identification of show attendees using the company's face recognition software. Sighthound develops advanced computer vision software based on its own proprietary research. Delivering industry leading

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Xilinx Demonstration of Collision Avoidance

Aaron Behman, Director of Corporate Strategy and Marketing for Embedded Vision at Xilinx, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Behman demonstrates how its Premier Alliance Member, Xylon, uses its logiADAK for collision avoidance applications. This demonstration implements HOG with SVM to detect the distance

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Synopsys Demonstration of EV52 Processor- and CNN-based Face Detection

Pierre Paulin, Director of R&D for the Synopsys Embedded Vision Processor, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Paulin discusses the features of the EV5x processor family, which features an innovative dedicated convolution neural network (CNN) engine optimized for low power consumption and low area

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EVA180x100

Embedded Vision Insights: August 30, 2016 Edition

FEATURED VIDEOS "Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation," a Presentation from Synopsys Deep learning-based object detection using convolutional neural networks (CNN) has recently emerged as one of the leading approaches for achieving state-of-the-art detection accuracy for a wide range of object classes. Most of the current CNN-based detection algorithm implementations run on high-performance

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Allied Vision Presents Broad Variety of Industrial Cameras at Enova Paris

From 14-15 September 2016, Allied Vision showcases camera solutions for high quality imaging at enova show. 08/29/2016 – Camera manufacturer Allied Vision will exhibit at Enova Paris, a french exhibition for technology and services focused on Electronics, Embedded systems, Internet of Things, Measurement, Vision and Optics, from 14 to 15 September, 2016 at Paris Expo

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