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Videos

Renesas Demonstrations of Gaze Tracking and Deep Learning-based Object Recognition

David Olsen, Staff Product Marketing Manager at Renesas, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Olsen demonstrates gaze tracking and deep learning-based object recognition, both running on the company's RZ/G1M microprocessor.

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Almalence Demonstration of SuperResolution

Dan Sakols, Vice President of Business Development at Almalence, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Sakols demonstrates the company's SuperResolution technology, which allows resolution improvement at video frame rates, accelerated on the Qualcomm Hexagon vector processor. SuperResolution on Hexagon permits mobile devices to zoom

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VeriSilicon Demonstration of AlexNet Deep Learning-based Object Recognition

Mahadev Kolluru, Senior Director of Platform Solutions at VeriSilicon, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Kolluru demonstrates AlexNet deep learning-based object recognition running on the company's Vivante VIP Nano vision processing core.

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ZMicro Demonstration of Its Insight Video Enhancement Product

Jason Wade, President of ZMicro, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Wade demonstrates the value of the company's latest video processing system, Insight, which significantly improves visual clarity in real-time video, providing an operator with more information to support better decisions. He discusses the

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IRIDA Labs Demonstrations of Video Stabilization and Deep Learning

Vassilis Tsagaris, CEO at IRIDA Labs, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Tsagaris demonstrates the embedded computer vision engine for high quality video, in this case implemented as an EIS video stabilization solution optimized for Snapdragon SoCs using heterogeneous computing techniques. Vassilis also showcases

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ARM Demonstrations of Deep Learning-based Image Recognition and the Uncanny CV Vision Library

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 demo,

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Morpho Demonstrations of Frame Interpolation and Computational Photography

Toshi Torihara, Vice President at Morpho USA, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Torihara demonstrates the company's new Frame Interpolator algorithm, which generates intermediate frames between 30 fps inputs to create a 60 fps output with a smooth viewing experience at 4K resolution. He

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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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