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 […]
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
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
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
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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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
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
Andrew Rabinovich, Director of Deep Learning at Magic Leap, presents the "Performing Multiple Perceptual Tasks With a Single Deep Neural Network" tutorial at the May 2017 Embedded Vision Summit. As more system developers consider incorporating visual perception into smart devices such as self-driving cars, drones and wearable computers, attention is shifting toward practical formulation and
Boris Babenko, Senior Software Engineer at Orbital Insight, presents the "Using Satellites to Extract Insights on the Ground" tutorial at the May 2017 Embedded Vision Summit. Satellites are great for seeing the world at scale, but analyzing petabytes of images can be extremely time-consuming for humans alone. This is why machine vision is a perfect
Arun Chhabra, CEO of 8tree, presents the "Designing Vision Systems for Human Operators and Workflows: A Case Study" tutorial at the May 2017 Embedded Vision Summit. During the past several decades, manual measurement methods – using rulers and dial gauges – have been the status quo for inspecting dents, bumps, lightning strikes and corrosion blend-out
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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