may 2016 embedded vision summit introductory presentation (day 2)

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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

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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

bit.ly/23mbN9N

Copyright © 2016 Embedded Vision Alliance 11

Floorplan

Copyright © 2016 Embedded Vision Alliance 12

Thanks to Our Lead Sponsors

Copyright © 2016 Embedded Vision Alliance 13

Embedded Vision Alliance Member Companies

Copyright © 2016 Embedded Vision Alliance 14

Using Vision to Enable Autonomous

Land, Sea and Air Vehicles

Larry Matthies

Senior Scientist

NASA Jet Propulsion Laboratory

Tuesday Keynote