Videos

“End to End Fire Detection Deep Neural Network Platform,” a Presentation from Tyco Innovation

Divya Jain, Technical Director at Tyco Innovation, presents the "End to End Fire Detection Deep Neural Network Platform" tutorial at the May 2017 Embedded Vision Summit. This presentation dives deep into a real-world problem of fire detection to see what it takes to build a complete solution using CNNs. Fire is specifically challenging because it […]

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“Designing CNN Algorithms for Real-time Applications,” a Presentation from Almond AI

Matthew Chiu, Founder of Almond AI, presents the "Designing CNN Algorithms for Real-time Applications" tutorial at the May 2017 Embedded Vision Summit. The real-time performance of CNN-based applications can be improved several-fold by making smart decisions at each step of the design process – from the selection of the machine learning framework and libraries used

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XIMEA Demonstration of Its Xilinx- and PCI Express-based Products

Max Larin, CEO and head of product development at XIMEA, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Larin explains how with the help of Xilinx FPGAs, in particular Kintex® UltraScale™ and Artix™ 7 FPGAs, the PCI Express technology used in cameras and embedded vision systems

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NET GmbH Demonstration of the Company’s Latest Freely Configurable Cameras

Manfred Jünke (Research & Development) from NET GmbH demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Jünke demonstrates how NET´s latest freely configurable cameras improve the overall performance of applications in quality control and automation. For this, he showcases the all-in-one smart vision system CORSIGHT for

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“The Coming Shift from Image Sensors to Image Sensing,” a Presentation from LG

Paul Gallagher, Senior Director of Technology and Product Planning for LG, presents the "Coming Shift from Image Sensors to Image Sensing" tutorial at the May 2017 Embedded Vision Summit. The image sensor space is entering the fourth disruption in its evolution. The first three disruptions primarily focused on taking “pretty pictures” for human consumption, evaluation,

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Nik Gagvani, Founder and President of CheckVideo, presents the "Intelligent Video Surveillance: Are We There Yet?" tutorial at the May 2017 Embedded Vision Summit. The video surveillance market has been an early adopter of computer vision technology. After more than a decade of experience with deployed systems, what have we learned? This talk covers the

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Nik Gagvani, Founder and President of CheckVideo, presents the "Intelligent Video Surveillance: Are We There Yet?" tutorial at the May 2017 Embedded Vision Summit. The video surveillance market has been an early adopter of computer vision technology. After more than a decade of experience with deployed systems, what have we learned? This talk covers the

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“Edge Intelligence: Visual Reinforcement Learning for Mobile Devices,” a Presentation from Imagry

Adham Ghazali, co-founder and CEO of Imagry, presents the "Edge Intelligence: Visual Reinforcement Learning for Mobile Devices" tutorial at the May 2017 Embedded Vision Summit. Real-life visual data encompasses a tremendous amount of information and presents a huge challenge for the design and development of a perceptual engine. Smart machines equipped with visual understanding technology

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Au-Zone Technologies Demonstration of the DeepView ML Toolkit for Embedded Platforms

Pierre-Luc Beaubien, Senior Software developer at Au-Zone Technologies, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Beaubien demonstrates how the company's DeepView ML Toolkit was used to develop and train a CNN-based traffic sign recognition classifier, subsequently deployed on NXP’s i.MX8 with DeepViewRT, the hardware-accelerated RunTime

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AImotive Demonstration of the Self-driving Ecosystem

Árpád Takács, Outreach Scientist at AImotive, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Takács presents the company's self-driving ecosystem. He explains the key components of self-driving car development: aiDrive, a full-stack software; aiKit, a development toolkit for data handling, training and testing; and aiWare, a

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