Videos

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

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Software, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

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

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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

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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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NXP Demonstration of Traffic Sign Recognition with Neural Networks

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Rafal Malewski, Head of the Graphics Technology Engineering Center at NXP Semiconductors, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Malewski demonstrates traffic sign recognition with neural networks. This embedded solution supports real-time vision and rendering. Its object recognition capabilities employ traditional segmentation along with a

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NXP Demonstration of a Real-time CNN Image Classifier and Pedestrian Detection on the S32V234 Processor

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Ali Ors, Director of R&D, ADAS at NXP Semiconductors, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Ors demonstrates a real-time CNN image classifier and pedestrian detection on NXP’s automotive-grade S32V234 ADAS vision processor. He demonstrates an optimized implementation of a convolutional neural network used to

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“Another Set of Eyes: Machine Vision Automation Solutions for In Vitro Diagnostics,” a Presentation from Microscan Systems

Algorithms, Edge AI and Vision Alliance, Medical, Processors, Sensors and Cameras, Software, Tools, Videos /

Sadie Zeller, Manager of Global Product Management and the Clinical Vertical Market at Microscan Systems, presents the "Another Set of Eyes: Machine Vision Automation Solutions for In Vitro Diagnostics" tutorial at the May 2017 Embedded Vision Summit. In vitro diagnostics (IVD) are tests that can detect diseases, conditions, or infections. The use of automation, including

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

Algorithms, Edge AI and Vision Alliance, Entertainment, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Tools, Videos /

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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Nextchip Demonstration of ADAS Functions on Its Pre-processor and ISP

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Mathias Sunghoon Chung, Global Business Development Manager at Nextchip, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Chung demonstrates ADAS (advanced driver assistance systems) functions running on the company's pre-processor and ISP (image signal processor).

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Nextchip Demonstration of HDR and LFM Processing on Its ISP

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Mathias Sunghoon Chung, Global Business Development Manager at Nextchip, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Chung demonstrates HDR (high dynamic range) and LFM (LED flicker mitigation) processing running on the company's ISP (image signal processor).

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