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Visual Intelligence Opportunities in Industry 4.0

Algorithms, AMD, Articles, Basler, Edge AI and Vision Alliance, Industrial Vision (Computer Vision), MVTec, Processors, Sensors and Cameras, Software, Technical Articles, Tools /

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

Algorithms, Industrial Vision (Computer Vision), MVTec, Object Identification, Optical Character Recognition, Processors, Software, Tools, Videos /

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

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

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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“Performing Multiple Perceptual Tasks With a Single Deep Neural Network,” a Presentation from Magic Leap

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

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

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“Using Satellites to Extract Insights on the Ground,” a Presentation from Orbital Insight

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

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

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“Designing Vision Systems for Human Operators and Workflows: A Case Study,” a Presentation from 8tree

8tree, Aerospace and Defense, Algorithms, Augmented Reality, Processors, Sensors and Cameras, Software, Tools, Videos /

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

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“Ultra-Efficient VPU: Low-power Deep Learning, Computer Vision and Computational Photography,” A Presentation from FotoNation

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Petronel Bigioi, General Manager at FotoNation, presents the "Ultra-Efficient VPU: Low-power Deep Learning, Computer Vision and Computational Photography" tutorial at the May 2017 Embedded Vision Summit. This talk focuses on bringing intelligence to the edge to enable local devices to see and hear. It explores the power-consumption-vs.-flexibility dilemma by examining hard-coded and programmable architectures. It

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“Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry,” a Presentation from Lux Research

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

Mark Bünger, VP of Research at Lux Research, presents the "Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry" tutorial at the May 2017 Embedded Vision Summit. The auto and telecom industries have been dreaming of connected cars for twenty years, but their results have been mediocre and mixed. Now, just

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“Introduction to Optics for Embedded Vision,” a Presentation from Edmund Optics

Edge AI and Vision Alliance, Sensors and Cameras, Summit 2018, Tools, Videos /

Jessica Gehlhar, Vision Solutions Engineer at Edmund Optics, presents the “Introduction to Optics for Embedded Vision” tutorial at the May 2017 Embedded Vision Summit. This talk provides an introduction to optics for embedded vision system and algorithm developers. Gehlhar begins by presenting fundamental imaging lens specifications and quality metrics. She explains key parameters and concepts

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“Computer-vision-based 360-degree Video Systems: Architectures, Algorithms and Trade-offs,” a Presentation from videantis

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Marco Jacobs, VP of Marketing at videantis, presents the "Computer-vision-based 360-degree Video Systems: Architectures, Algorithms and Trade-offs" tutorial at the May 2017 Embedded Vision Summit. 360-degree video systems use multiple cameras to capture a complete view of their surroundings. These systems are being adopted in cars, drones, virtual reality, and online streaming systems. At first

“Computer-vision-based 360-degree Video Systems: Architectures, Algorithms and Trade-offs,” a Presentation from videantis Read More +

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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