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Dear Colleague,
Newly published on the Alliance website are the first 7 of
what will eventually be nearly 100 presentation recordings from last
month’s Embedded
Vision Summit, as well as the downloadable set of presentation slides that I mentioned last time. Additional presentation
recordings, along with nearly 50 demonstration videos, will
follow in the coming weeks. Bookmark and regularly revisit the 2018
Summit Replay page to access new content as it appears; for
timely notification of the publication of this and other new website
content, subscribe to the Alliance’s RSS feed and Facebook,
Google+,
LinkedIn
company and group,
and Twitter social
media channels. And mark your calendar for next year’s Summit,
scheduled for May 20-23, 2019, again at the Santa Clara (California)
Convention Center!
Brian Dipert
Editor-In-Chief, Embedded Vision Alliance
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The Evolution of Depth Sensing: From Exotic to Ubiquitous
In this presentation, Erik Klaas,
co-founder and CTO
of 8tree, covers the following topics:
- Why is metrology important?
- Categorization of common methodologies for dimensional
measurements
- Examples and applications of image-based dimensional
measurement
- Market segmentation, size, challenges and opportunities
- What does 8tree do?
- A view into the future
Introduction to Light Field Imaging
Dr. Christian Perwass, R&D Project
Manager at Robert Bosch GmbH, discusses light field imaging’s
capabilities, applicability, and implementation challenges and
solutions
in this presentation.
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Using Drones with Embedded Vision to Safeguard Vineyard Health
In this presentation, Charles Nespoulous,
co-founder of Chouette, covers the following topics:
- Viticulture challenges
- The precision viticulture solution
- Chouette overview
- Implementation challenges
- Chouette’s implementation approach
- Business model
- Future challenges
Instrumenting Greenhouses as Data-driven Manufacturing
Facilities
Matt King, Chief Technology Officer at
IUNU, explains in this presentation how his company is enabling
increased efficiency in commercial greenhouses using robotic cameras,
computer vision and machine learning.
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