Sensors and Cameras

“The Roomba 980: Computer Vision Meets Consumer Robotics,” a Presentation from iRobot

Mario Munich, Senior Vice President of Technology at iRobot, presents the “Roomba 980: Computer Vision Meets Consumer Robotics” tutorial at the May 2018 Embedded Vision Summit. In 2015, iRobot launched the Roomba 980, introducing intelligent visual navigation to its successful line of vacuum cleaning robots. The availability of affordable electro-mechanical components, powerful embedded microprocessors and […]

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“How Simulation Accelerates Development of Self-Driving Technology,” a Presentation from AImotive

László Kishonti, founder and CEO of AImotive, presents the “How Simulation Accelerates Development of Self-Driving Technology” tutorial at the May 2018 Embedded Vision Summit. Virtual testing, as discussed by Kishonti in this presentation, is the only solution that scales to address the billions of miles of testing required to make autonomous vehicles robust. However, integrating

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“Developing Computer Vision Algorithms for Networked Cameras,” a Presentation from Intel

Dukhwan Kim, computer vision software architect at Intel, presents the “Developing Computer Vision Algorithms for Networked Cameras” tutorial at the May 2018 Embedded Vision Summit. Video analytics is one of the key elements in network cameras. Computer vision capabilities such as pedestrian detection, face detection and recognition and object detection and tracking are necessary for

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“Visual-Inertial Tracking for AR and VR,” a Presentation from Meta

Timo Ahonen, Director of Engineering for Computer Vision at Meta, presents the “Visual-Inertial Tracking for AR and VR” tutorial at the May 2018 Embedded Vision Summit. This tutorial covers the main current approaches to solving the problem of tracking the motion of a display for AR and VR use cases. Ahonen covers methods for inside-out

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“Understanding and Implementing Face Landmark Detection and Tracking,” a Presentation from PathPartner Technology

Jayachandra Dakala, Technical Architect at PathPartner Technology, presents the “Understanding and Implementing Face Landmark Detection and Tracking” tutorial at the May 2018 Embedded Vision Summit. Face landmark detection is of profound interest in computer vision, because it enables tasks ranging from facial expression recognition to understanding human behavior. Face landmark detection and tracking can be

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“What’s Hot? The M&A and Funding Landscape for Machine Vision Companies,” A Presentation from Woodside Capital Partners

Rudy Burger, Managing Partner at Woodside Capital Partners, presents the “What’s Hot? The M&A and Funding Landscape for Machine Vision Companies” tutorial at the May 2018 Embedded Vision Summit. The six primary markets driving computer vision are automotive, sports and entertainment, consumer and mobile, robotics and machine vision, medical, and security and surveillance. This presentation

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“Data-driven Business Models Enabled by 3D Vision Technology,” a Presentation from FRAMOS

Christopher Scheubel, Head of IP and Business Development at FRAMOS, presents the “Data-driven Business Models Enabled by 3D Vision Technology” tutorial at the May 2018 Embedded Vision Summit. This presentation describes which applications are enabled by low-cost 3D vision technology, such as home robotics, smart cities/communities and drones for precision farming, and which business models

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“Balancing Safety, Convenience and Privacy in the Era of Ubiquitous Cameras,” a Presentation from Intel

Charlotte Dryden, Director of the Visual Computing Developer Solutions team at Intel, presents the “Balancing Safety, Convenience and Privacy in the Era of Ubiquitous Cameras” tutorial at the May 2018 Embedded Vision Summit. Computer vision-enabled cameras are proliferating rapidly and will soon be ubiquitous – in, on and around vehicles, homes, toys, stores, public transit,

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“What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications,” a Presentation from Ryad B. Benosman

Ryad B. Benosman, Professor at the University of Pittsburgh Medical Center, Carnegie Mellon University and Sorbonne Universitas, presents the “What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Benosman introduces neuromorphic, event-based approaches for image sensing and processing. State-of-the-art image sensors suffer from

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“Computer Vision for Industrial Inspection: From PCs to Embedded,” a Presentation from NET GmbH

Thomas Däubler, CTO of NET New Electronic Technology GmbH, presents the “Computer Vision for Industrial Inspection: The Evolution from PCs to Embedded Solutions” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Däubler introduces current industrial inspection computer vision applications and solutions, and explores how vision solutions are evolving for this market. In

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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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