May 2016 Embedded Vision Summit Introductory Presentation (Day 2)
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Transcript of May 2016 Embedded Vision Summit Introductory Presentation (Day 2)
Copyright © 2016 Embedded Vision Alliance 1
Welcome to Day 2 of the Embedded Vision Summit!
Santa Clara, California May 3, 2016
Jeff Bier, Founder, Embedded Vision Alliance / President, BDTI
Copyright © 2016 Embedded Vision Alliance 2
• Jeff Dean (Google):
• Deep learning has permeated all aspects of Google’s operators
• You can implement deep neural networks efficiently by training
with 32-bit floats and then quantize to 8-bit integers
• Bruce Daley (Tractica):
• Deep learning software market > $10B by 2024, driven
by apps like ad services, agriculture, manufacturing
• Chris Rowen (Cadence):
• Approximately 100% of sensor data will be image sensor data
• >100x energy and 20x performance from network & architecture optimization
What We Learned Yesterday
Copyright © 2016 Embedded Vision Alliance 3
• Raj Talluri (Qualcomm):
• 8.7B smartphones will be shipped in next 5 years …
every single one of which is a computer vision platform
• Peter Shannon (Firelake):
• Computer vision is inductive reasoning problem …
and this makes vision software development fundamentally
different from traditional software development
• Paul Kruszewski (WRNCH):
• Video game industry blossomed once tools, middleware, and framework
matured … and the same will happen in computer vision
What We Learned Yesterday
Copyright © 2016 Embedded Vision Alliance 4
• Andreas Gal (Silk Labs):
• Increasingly powerful embedded processors give system developers the
option of putting visual intelligence at the edge instead of the cloud … and
this has important training and privacy considerations
• Stefan Heck (NAUTO):
• The actual cost of driving a car is $3/mile, 99% waste, and results in 33,000
fatalities a year … but computer vision can help
• Allen Rush (AMD):
• Computer vision will be essential to high quality augmented/virtual reality
What We Learned Yesterday
Copyright © 2016 Embedded Vision Alliance 5
• While we’re in the early days of vision software development infrastructure, vision
provides compelling benefits in a wide range of applications
• Deep learning was everywhere
• CNN tutorial spent a day on it (slides will be available)
• Vision Technology Showcase (you can’t swing a dead cat without putting it in
front of a CNN demo that identifies it as a dead cat… and if you don’t believe
me, just go there—it’s open from 10 am to 7 pm)
• Mentioned in almost every Business Insights track presentation yesterday
What We Learned Yesterday
Copyright © 2016 Embedded Vision Alliance 6
Using Neural Networks for Vision in Products?
Yes, extensively 15%
Yes, in a minor role 17%
Not yet, but planning to do
so 29%
No 29%
Don't know 10%
Source: Embedded Vision Alliance
Embedded Vision Developer Survey, Nov. 2015
N=417
Copyright © 2016 Embedded Vision Alliance 7
Which Vision Libraries and APIs Do You Use?
63%
18%
6% 3%
11%
84%
47%
28%
21%
14%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
OpenCV OpenGL OpenVX FastCV Other
1st Choice
Top 3
Source: Embedded
Vision Alliance
Embedded Vision Developer
Survey, Nov. 2015
N=385
Copyright © 2016 Embedded Vision Alliance 8
• Auviz — AuvizVCA, video content analysis platform for FPGAs
• Auviz Systems & PLDA Group — FPGA-based
computer vision accelerators with QuickPlay
• Cadence —Tensilica Vision P6 DSP
• Khronos — Released OpenVX 1.1 specification
• Movidius — Fathom Neural Compute Stick and
Fathom deep learning software framework
• Qualcomm — Snapdragon Machine Learning SDK
Product Announcements at the Summit
Copyright © 2016 Embedded Vision Alliance 9
Tuesday, May 3 — Day Two
Lunch
Welcome Remarks
Keynote: Using Vision to Enable Autonomous Land, Sea and Air Vehicles
1:00 PM
2:00 PM
1:00 PM
9:00 AM
10:45 AM
Vision Technology Showcase Reception 7:30 PM
3:00 PM
10:30 AM
Plenary Session: Computer Vision 2.0: Where We Are and Where We’re Going
Technical Insights Track
Business Insights Track
Enabling Technologies Track
Vision Technology Showcase (10:00 AM-7:30 PM)
Technical Insights Track
Business Insights Track
Enabling Technologies Track
Vision Technology Showcase 5:30 PM
5:30 PM
Copyright © 2016 Embedded Vision Alliance 10
Wednesday, May 4 — Day Three
Lunch 12:00 PM
1:00 PM
9:00 AM
12:00 PM
Vision Technology Workshops
Synopsys Workshop:
Designing Low-power, Low-cost Vision Solutions Using
DesignWare EV Processors
Khronos Workshop:
Accelerate Your Vision Applications with OpenVX
Designing Low-power, Low-cost Vision Solutions Using
DesignWare EV Processors
Accelerate Your Vision Applications with OpenVX
1:00 PM
5:00 PM
Alternate OpenVX Workshop:
Tuesday, May 17, 2:00 - 6:00 PM AMD, Sunnyvale
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