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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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Intel and Mobileye Offer Formula to Prove Safety of Autonomous Vehicles

Speaking today at the World Knowledge Forum in Seoul, South Korea, professor Amnon Shashua, Mobileye CEO and Intel senior vice president, offered the autonomous driving industry a way to prove the safety of autonomous vehicles. His solution, published in an academic paper and a layman’s summary paper, provides a formal, mathematical formula to ensure that

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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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BrainChip to Present at TechKnow Invest Roadshow

San Francisco, CA – October 12, 2017 – BrainChip Holdings Ltd. ("BrainChip" or the "Company") (ASX: BRN), a leading developer of software and hardware accelerated solutions for advanced artificial intelligence (AI) and machine learning applications, is pleased to announce that the Company will be presenting at the TechKnow Invest Roadshow in Melbourne, Australia on 24

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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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Embedded Vision Insights: October 10, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications from the edge to the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has experienced

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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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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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