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“Enabling the Full Potential of Machine Learning,” a Presentation from Wave Computing

Derek Meyer, CEO of Wave Computing, presents the "Enabling the Full Potential of Machine Learning" tutorial at the May 2017 Embedded Vision Summit. With the growing recognition that “data is the new oil,” more companies are looking to machine learning to gain competitive advantages and create new business models. But the machine learning industry is […]

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“Approaches for Vision-based Driver Monitoring,” a Presentation from PathPartner Technology

Jayachandra Dakala, Technical Architect at PathPartner Technology, presents the "Approaches for Vision-based Driver Monitoring" tutorial at the May 2017 Embedded Vision Summit. Since many road accidents are caused by driver inattention, assessing driver attention is important to preventing accidents. Distraction caused by other activities and sleepiness due to fatigue are the main causes of driver

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Synopsys Demonstration of Deep Learning with VGG16 on the DesignWare EV6x Vision Processor

Gordon Cooper, Product Marketing Manager for Embedded Vision Processors at Synopsys, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Cooper shows highly accurate object classification using the VGG16 neural network running on the DesignWare EV6x Vision Processor (on a HAPS FPGA-based prototyping platform). The EV6x includes

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Synopsys Demonstration of Histogram of Gradients (HoG) on the DesignWare EV6x Vision Processor

Gordon Cooper, Product Marketing Manager for Embedded Vision Processors at Synopsys, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Cooper demonstrates a pedestrian detection application using a Histogram of Gradients (HoG) algorithm running on the DesignWare EV6x Vision Processor. In the demo, a camera is capturing

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“Deep Learning and Vision Algorithm Development in MATLAB Targeting Embedded GPUs,” a Presentation from MathWorks

Avinash Nehemiah, Product Marketing Manager for Computer Vision, and Girish Venkataramani, Product Development Manager, both of MathWorks, presents the "Deep Learning and Vision Algorithm Development in MATLAB Targeting Embedded GPUs" tutorial at the May 2017 Embedded Vision Summit. In this presentation, you'll learn how to adopt a MATLAB-centric workflow to design, verify and deploy your

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Intel Demonstration of Graphics Acceleration of Both Traditional and Deep Learning Vision Algorithms

Sriram Mirali, Graphics Software Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Mirali demonstrates the acceleration of both traditional and deep learning computer vision algorithms using Intel graphics hardware.

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“How Image Sensor and Video Compression Parameters Impact Vision Algorithms,” a Presentation from Amazon Lab126

Ilya Brailovskiy, Principal Engineer at Amazon Lab126, presents the "How Image Sensor and Video Compression Parameters Impact Vision Algorithms" tutorial at the May 2017 Embedded Vision Summit. Recent advances in deep learning algorithms have brought automated object detection and recognition to human accuracy levels on various test datasets. But algorithms that work well on an

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“PCI Express – A High-bandwidth Interface for Multi-camera Embedded Systems,” a Presentation from XIMEA

Max Larin, CEO of XIMEA, presents the "PCI Express – A High-bandwidth Interface for Multi-camera Embedded Systems" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Larin provides an overview of existing camera interfaces for embedded systems and explores their strengths and weaknesses.  He also examines the differences between integration of a sensor

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“Embedded Vision Made Smart: Introduction to the HALCON Embedded Machine Vision Library,” a Presentation from MVTec

Olaf Munkelt, Co-founder and Managing Director at MVTec Software GmbH, presents the "Embedded Vision Made Smart: Introduction to the HALCON Embedded Machine Vision Library" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Munkelt demonstrates how easy it is to develop an embedded vision (identification) application based on the HALCON Embedded standard software

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