Emerging Tech SIG: The Rebirth of Computer Vision in the Internet of Things
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The Rebirth of Computer Vision in the Internet of Things
Money is pouring into the Internet of Things, built around smart sensors connected to the Internet. But the richest sense of all, vision, has largely been bypassed, used for only a fraction of its potential.
Until recently, machine vision – used most widely in manufacturing – and mainstream computing technology have existed in parallel worlds. Along with other factory floor technologies, computer vision tends to be machine-specific, lacking in open APIs, and making little if any use of the Internet. Many of the advances we take for granted in modern computing – ubiquitous connectivity, unlimited data storage in the cloud, insights drawn from massive unstructured data sets – have yet to be applied systematically to the factory floor in general and to computer vision specifically.
But this closed world is being broken open by a convergence of emerging technologies:
· The proliferation of cheap, high pixel-density camera sensors
· Open implementations of vision algorithms, machine learning, and statistical tools
· Large amounts of cheap computing power, becoming virtually limitless in the cloud
These technologies offer all the raw materials needed for a generational advance in computer vision capabilities. It’s a shift from focusing on the raw material of digital images – the pixels and bitmaps generated by specific cameras – to extracting data from images and using statistical and data science techniques to draw insights.
Join Sight Machine CEO and co-founder Jon Sobel for a discussion of these developments and the resulting opportunities. Sight Machine applies advanced visual analytics and Big Data techniques to factory-floor computer vision to tackle manufacturing quality problems. Its systems collect, analyze and draw insights from vast amounts of image and sensor data in real time.
About Our Speaker:
Jon Sobel, Sight Machine CEO and co-founder
Jon Sobel is CEO and co-founder of Sight Machine Inc. With dual headquarters in San Francisco and Ann Arbor, Mich., Sight Machine applies advanced visual analytics and Big Data techniques to factory-floor computer vision to tackle manufacturing problems. Its systems collect, analyze and draw insights from vast amounts of image and sensor data in real time.
Jon has deep experience with the adoption of new technologies and has served on the management teams of companies in pioneering industries including Tesla Motors, SourceForge, and in its early years, Yahoo. At both Tesla and Yahoo he served as general counsel and secretary.
Jon holds an A.B. from Princeton, a J.D. from the University of Michigan, and an MBA from Wharton.
Machine learning is the next Internet.
--Tony Tether, Director, DARPA
Shooting a picture is recognizing an event and at the same instant and within a fraction of a second rigorously organizing the forms you see to express and give meaning to the event. It is a matter of putting your brain, your eye and your heart in the same line of sight. It is a way of life.
Machine learning is today’s discontinuity.
--Jerry Yang, CEO, Yahoo
The Internet of Things is not a concept; it is a network, the true technology-enabled Network of all networks.
Please make sure to drop by and visit our event Demo Table Sponsor:
Yet another reason to come down: You could be a lucky winner of an event pass worth $1095 to SolidCon 2014, or the winner of one of the five books in Internet of things or Big Data, courtesy of O-Reilly Media.
Future Emerging Tech SIG presentations:
Wed., March 26
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Greg Brown, McAfee VP and CTO of Cloud and Internet of Things
Emerging Tech SIG:
As with all SVForum SIGs:
free for members
$20 for non-members
(or join SVForum, our parent organization, for only $145 for 12 months -- and then attend all its great SIGs free and get discounts to its conferences and programs).
No registration required, but pre-registration will connect you in to the evening's community:
As with all SVForum SIGs, we open with a half hour of networking and free pizza.
6:30 - 7:00 p.m. Registration / Networking / Refreshments / Pizza
7:00 - 9:00 p.m. Presentation and Q&A
Pillsbury Winthrop and Holland in the Valley
Thank you to our 2014 Facilities Host: Pillsbury Winthrop
4 Embarcadero Center, 22nd Floor
San Francisco, CA
We're meeting at Pillsbury Winthrop in SF, just off the confluence of Market and Embarcadero streets as well as of BART, Muni Metro, and the Market and Fisherman's Wharf historic streetcar lines. And after 6, you can even drive there and park!
Parking: below-ground lot below Embarcadero 4 ( $10 or $12 at that time?); parking garage on Clay Street (about a block away) at about $7 for the whole night; parking on the street, but may be metered (SF is changing its meter rules every month, it seems)
BART: Embarcadero Station
Muni Metro: Embarcadero Station