ARM Demonstrations of a Depth Camera and Autonomous Drone

Tim Hartley, Product Manager at ARM, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Hartley shows why computer vision on mobile chips is so exciting right now by demonstrating two of the products at ARM’s booth at the Embedded Vision Summit's Technology Showcase. The first is […]

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StradVision Demonstration of Object Detection and Recognition for ADAS

Junhwan Kim, Automotive Business Development representative at StradVision, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Kim demonstrates the company's object detection and recognition software. He shows how StradVision’s machine learning algorithm can be applied to pedestrian/vehicle detection, and text detection and recognition on Texas Instruments'

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Xilinx Demonstration of Harris Corner Detection Acceleration

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 the Avnet Smart Vision Development Kit in conjunction with Xilinx's SDSoC tool flow can identify latency and enable users to accelerate the

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MathWorks Demonstrations of MATLAB and Simulink for Embedded Vision Development

Andy The, Product Manager at MathWorks, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Andy first demonstrates how Simulink supports HDL development from design through production. By combining Simulink with built-in FPGA hardware support, you can quickly design, tune, and deploy production ready HDL vision algorithms

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BAS1609_PR_Imaginghub_Launch_rgb_Online

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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