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“New Dataflow Architecture for Machine Learning,” a Presentation from Wave Computing

Chris Nicol, CTO at Wave Computing, presents the "New Dataflow Architecture for Machine Learning" tutorial at the May 2017 Embedded Vision Summit. Data scientists have made tremendous advances in the use of deep neural networks (DNNs) to enhance business models and service offerings. But training DNNs can take a week or more using traditional hardware […]

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“How to Test and Validate an Automated Driving System,” a Presentation from MathWorks

Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Test and Validate an Automated Driving System" tutorial at the May 2017 Embedded Vision Summit. Have you ever wondered how ADAS and autonomous driving systems are tested? Automated driving systems combine a diverse set of technologies and engineering skill sets from

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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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“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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“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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Visual Intelligence Opportunities in Industry 4.0

In order for industrial automation systems to meaningfully interact with the objects they're identifying, inspecting and assembling, they must be able to see and understand their surroundings. Cost-effective and capable vision processors, fed by depth-discerning image sensors and running robust software algorithms, continue to transform longstanding industrial automation aspirations into reality. And, with the emergence

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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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“Adventures in DIY Embedded Vision: The Can’t-miss Dartboard,” a Presentation from Mark Rober

Engineer, inventor and YouTube personality Mark Rober presents the "Adventures in DIY Embedded Vision: The Can’t-miss Dartboard" tutorial at the May 2017 Embedded Vision Summit. Can a mechanical engineer with no background in computer vision build a complex, robust, real-time computer vision system? Yes, with a little help from his friends. Rober fulfilled a three-year

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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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