The Four Key Trends Driving the Proliferation of Visual Perception

Transcription

1 The Four Key Trends Driving the Proliferation of Visual Perception Jeff Bier Founder, Embedded Vision Alliance President, BDTI December 4,

2 Crossing Critical Thresholds Computer vision increasingly works well enough for real-world applications Computer vision can be deployed at low cost and power consumption Computer vision is increasingly usable by non-specialists 2

3 Total Revenue in $ millions Acceleration of Innovation and Deployment Unprecedented acceleration in investment, innovation and deployment of vision technology and solutions across a broad range of markets $30,000 Computer Vision Total Revenue $25,000 $20,000 $15,000 $10,000 $5,000 $ Source: Rudy Burger, Woodside Capital Software Services Hardware Source: Tractica 3

4 Crossing Critical Thresholds Computer vision increasingly works well enough for real-world applications Computer vision can be deployed at low cost and power consumption Computer vision is increasingly usable by non-specialists 4

5 Deep Learning Matches Typical Human Performance Source: 5

6 Deep Learning Matches Skilled Human Performance Source: Guilin Lin et al., NVIDIA 6

7 Deep Learning Exceeds Human Performance Source: Learning to See in the Dark, Chen Chen, Qifeng Chen, Jia Xu and Vladlen Koltun, CVPR

8 Use of Neural Networks to Perform Computer Vision Functions Don't know 4% No 11% Yes, extensively 35% Not yet, but planning to 34% Source: Embedded Vision Alliance, Computer Vision Developer Survey, 11/2017 Yes, in a minor role 16% 8

9 Crossing Critical Thresholds Computer vision increasingly works well enough for real-world applications Computer vision can be deployed at low cost and power consumption Computer vision is increasingly usable by non-specialists 9

10 3D Cameras Enable Robust Vision Source: Microsoft Source: Intel Source: Occipital 10

11 3D Perception Source: pcc.disam.etsii.upm.es Source: appleinsider.com 11

12 Current Use of 3D Perception in Products Don't know 8% Yes, currently using 30% No 41% Yes, plan to start in a year or more 11% Yes, plan to start in the next year 10% Source: Embedded Vision Alliance, Computer Vision Developer Survey, 11/

13 Processors: 1000x in 3 Years 1. Algorithms 2. Processors 3. Frameworks, tools, middleware 13

14 Cambrian Explosion of Inference Processors Roughly 50 companies developing processors for deep learning training or inference (most for inference), including Source: Ren Wu, NovuMind 14

15 Type of Processor Used for Vision Tasks 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 76% 5% 60% 6% 40% 32% CPU GPU FPGA Dedicated deep learning processor 29% 27% Ranked as one of top three 13% 8% 14% 24% DSP Vision-specific Mobile Source: Embedded Vision Alliance, Computer Vision Developer Survey, 11/

16 Crossing Critical Thresholds Computer vision increasingly works well enough for real-world applications Computer vision can be deployed at low cost and power consumption Computer vision is increasingly usable by non-specialists 16

17 Democratization It s rapidly getting easier to: Develop effective computer-vision based systems and applications Deploy those solutions at scale Why? Deep learning shifts focus from algorithm development to training Huge, accelerating investment in tools Cloud computing Source: Chris Adzima, WCSO 17

18 The Cloud Shuffles the Deck Time-to-market Upgradability Accuracy Coordination among distributed devices Device cost Recurring costs Internet connectivity, bandwidth required Response time Privacy/security = Advantage Edge Cloud 18

19 How is Your Neural Network Deployed? 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 75% Inference implemented in an embedded or mobile device 42% 5% Inference in datacenter Other Source: Embedded Vision Alliance, Computer Vision Developer Survey, 11/

20 The Cloud Enables Fast, Easy Scaling Five years ago, a start-up developing a large-scale, centralized visionbased solution would have had to build most of the infrastructure Today, all of the software and hardware infrastructure is available off the shelf Source: Camio Source: Pavan Kumar, CocoonCam 20

21 What s Enabling This Acceleration? Computer vision increasingly works well enough for real-world applications Computer vision can be deployed at low cost and power consumption Computer vision is increasingly usable by non-specialists 22

22 Where Are We Going? Cocoon Cam Watch the video: Source: Pavan Kumar, Cocoon Cam 23

23 Where Are We Going? DEKA Research Source: States Chronicle 24

24 Empowering Product Creators to Harness Embedded Vision The Embedded Vision Alliance ( is a partnership of 90+ leading computer vision technology and systems companies Mission: Inspire and empower product creators to incorporate visual intelligence into their products The Alliance provides practical technical educational resources for product developers Website offers tutorial articles, video presentations, etc. Register for the newsletter at Alliance membership provides companies with early insights and connections to customers and partners 26

25 Join Us At the Embedded Vision Summit The only industry event focused on enabling developers to create machines that see Awesome! I was very inspired! Fantastic. Learned a lot and met great people. Wonderful speakers and informative exhibits! Embedded Vision Summit 2019 highlights: Inspiring keynotes by leading innovators Practical technical, business and product talks Learn edge and cloud vision techniques and trade-offs Half- and full-day workshops on May 23 May 20-23, 2019 Santa Clara, California Visit for details 27

26 Embedded Vision Alliance Members Companies OMRON 28

27 Questions? me for: PDF file of these slides Discount code and questions about the Embedded Vision Summit, May 20-23, 2019 in Santa Clara, California Information about how your company can become a Member of the Embedded Vision Alliance Jeff Bier Founder, Embedded Vision Alliance Chairman, Embedded Vision Summit President, BDTI bier@embedded-vision.com Walnut Creek, CA U.S.A. 29