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“Using Markerless Motion Capture to Win Baseball Games,” a Presentation from KinaTrax

Steven Cadavid, President of KinaTrax, presents the "Using Markerless Motion Capture to Win Baseball Games" tutorial at the May 2017 Embedded Vision Summit. KinaTrax develops a markerless motion capture system that computes the kinematic data of an in-game baseball pitch. The system is installed in several Major League Baseball ballparks including Wrigley Field, home of […]

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“A Fast Object Detector for ADAS using Deep Learning,” a Presentation from Panasonic

Minyoung Kim, Senior Research Engineer at Panasonic Silicon Valley Laboratory, presents the "A Fast Object Detector for ADAS using Deep Learning" tutorial at the May 2017 Embedded Vision Summit. Object detection has been one of the most important research areas in computer vision for decades. Recently, deep neural networks (DNNs) have led to significant improvement

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“Unsupervised Everything,” a Presentation from Panasonic

Luca Rigazio, Director of Engineering for the Panasonic Silicon Valley Laboratory, presents the "Unsupervised Everything" tutorial at the May 2017 Embedded Vision Summit. The large amount of multi-sensory data available for autonomous intelligent systems is just astounding. The power of deep architectures to model these practically unlimited datasets is limited by only two factors: computational

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“How 3D Maps Will Change the World,” a Presentation from Augmented Pixels

Vitaliy Goncharuk, CEO and Founder of Augmented Pixels, presents the "How 3D Maps Will Change the World" tutorial at the May 2017 Embedded Vision Summit. In the very near future, cars, robots, mobile phones and augmented reality glasses will incorporate inexpensive and efficient depth sensing. This will quickly bring us to a new world in

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“Designing a Vision-based, Solar-powered Rear Collision Warning System,” a Presentation from Pearl Automation

Aman Sikka, Vision System Architect at Pearl Automation, presents the "Designing a Vision-based, Solar-powered Rear Collision Warning System" tutorial at the May 2017 Embedded Vision Summit. Bringing vision algorithms into mass production requires carefully balancing trade-offs between accuracy, performance, usability, and system resources. In this talk, Sikka describes the vision algorithms along with the system

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“Designing a Wearable Imaging Device – for Mice,” a Presentation from Inscopix

Shung Chieh, Vice President of Engineering at Inscopix, presents the "Designing a Wearable Imaging Device – for Mice" tutorial at the May 2017 Embedded Vision Summit. Extremely small imaging systems can enable applications in diverse areas such as healthcare, manufacturing and wearable devices. In this presentation, Chieh explores the challenges encountered in designing one such

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“Designing a Stereo IP Camera From Scratch,” a Presentation from ELVEES

Anton Leontiev, Embedded Software Architect at ELVEES, JSC, presents the "Designing a Stereo IP Camera From Scratch" tutorial at the May 2017 Embedded Vision Summit. As the number of cameras in an intelligent video surveillance system increases, server processing of the video quickly becomes a bottleneck. On the other hand, when computer vision algorithms are

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“Vision Challenges in a Robotic Power Tool,” a Presentation from Shaper Tools

Alec Rivers, co-founder of Shaper Tools, presents the "Vision Challenges in a Robotic Power Tool" tutorial at the May 2017 Embedded Vision Summit. Shaper Tools has developed a first-of-its-kind robotic power tool enabled by embedded vision. Vision is used to track the tool's orientation in 3D at 100 Hz to an accuracy of 0.01 inches

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Beyond-visible Light Applications in Computer Vision

Computer vision systems aren’t necessarily restricted to solely analyzing the portion of the electromagnetic spectrum that is visually perceivable by humans. Expanding the analysis range to encompass the infrared and/or ultraviolet spectrum, either broadly or selectively and either solely or in conjunction with visible spectrum analysis, can be of great benefit in a range of

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“Making Cozmo See,” a Presentation from Anki

Andrew Stein, Lead Computer Vision Engineer at Anki, presents the "Making Cozmo See" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Stein describes the vision capabilities of Cozmo, Anki's latest consumer robotics product. Cozmo is a sophisticated entertainment robot focused on personality, interactivity, and game play. It was one of the hottest

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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