Sensors and Cameras

“Introduction to Optics for Embedded Vision,” a Presentation from Edmund Optics

Jessica Gehlhar, Vision Solutions Engineer at Edmund Optics, presents the "Introduction to Optics for Embedded Vision" tutorial at the May 2018 Embedded Vision Summit. This talk provides an introduction to optics for embedded vision system and algorithm developers. Gehlhar begins by presenting fundamental imaging lens specifications and quality metrics. She explains key parameters and concepts […]

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“Introduction to Optics for Embedded Vision,” a Presentation from Edmund Optics

Jessica Gehlhar, Vision Solutions Engineer at Edmund Optics, presents the "Introduction to Optics for Embedded Vision" tutorial at the May 2018 Embedded Vision Summit. This talk provides an introduction to optics for embedded vision system and algorithm developers. Gehlhar begins by presenting fundamental imaging lens specifications and quality metrics. She explains key parameters and concepts

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“Energy-efficient Processors Enable the Era of Intelligent Devices,” a Presentation from NovuMind

Ren Wu, Founder and CEO of NovuMind, presents the “Energy-efficient Processors Enable the Era of Intelligent Devices” tutorial at the May 2018 Embedded Vision Summit. Artificial intelligence is making waves and headlines. New algorithms, applications and companies are emerging fast. Deep-learning-based systems, trained with massive amounts of data using supercomputers, are more capable than ever

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May 2018 Embedded Vision Summit Vision Entrepreneurs’ Panel

Nik Gagvani, President of CheckVideo, moderates the Vision Entrepreneurs’ Panel at the May 2018 Embedded Vision Summit. Other panelists include László Kishonti, CEO of AImotive; Radha Basu, CEO of iMerit; and Gary Bradski, CTO and Co-founder of Arraiy.com, and CEO and Founder of OpenCV.org. What can we learn from leaders of successful vision-based start-ups? The

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“Reduce Risk in Computer Vision Design: Focus on the User,” a Presentation from Twisthink

Paul Duckworth, Director of Engineering at Twisthink, presents the “Reduce Risk in Computer Vision Design: Focus on the User” tutorial at the May 2018 Embedded Vision Summit. Companies across a wide range of industries are considering ways to apply computer vision to innovate their products and services. With the vast potential of this exciting technology,

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“Introduction to LiDAR for Machine Perception,” a Presentation from Deepen AI

Mohammad Musa, the Founder and CEO of Deepen AI, presents the “Introduction to LiDAR for Machine Perception” tutorial at the May 2018 Embedded Vision Summit. LiDAR sensors use pulsed laser light to construct 3D representations of objects and terrain. Recently, interest in LiDAR has grown, for example for generating high-definition maps required for autonomous vehicles

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“Intelligent Consumer Robots Powering the Smart Home,” a Presentation from iRobot

Mario Munich, Senior Vice President of Technology at iRobot, presents the “Intelligent Consumer Robots Powering the Smart Home” tutorial at the May 2018 Embedded Vision Summit. The Internet Of Things (IoT) has rapidly developed in the past few years, enabled by affordable electronics components and powerful embedded microprocessors, ubiquitous internet access and WiFi in the

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“Understanding Automotive Radar: Present and Future,” a Presentation from NXP Semiconductors

Arunesh Roy, Radar Algorithms Architect at NXP Semiconductors, presents the “Understanding Automotive Radar: Present and Future” tutorial at the May 2018 Embedded Vision Summit. Thanks to its proven, all-weather range detection capability, radar is increasingly used for driver assistance functions such as automatic emergency braking and adaptive cruise control. Radar is considered a crucial sensing

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“Architecting a Smart Home Monitoring System with Millions of Cameras,” a Presentation from Comcast

Hongcheng Wang, Senior Manager of Technical R&D at Comcast, presents the “Architecting a Smart Home Monitoring System with Millions of Cameras” tutorial at the May 2018 Embedded Vision Summit. Video monitoring is a critical capability for the smart home. With millions of cameras streaming to the cloud, efficient and scalable video analytics becomes essential. To

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“The Role of the Cloud in Autonomous Vehicle Vision Processing: A View from the Edge,” a Presentation from NXP Semiconductors

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the “Role of the Cloud in Autonomous Vehicle Vision Processing: A View from the Edge” tutorial at the May 2018 Embedded Vision Summit. Regardless of the processing topology—distributed, centralized or hybrid —sensor processing in automotive is an edge compute problem. However, with

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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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