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【分析レポート:技術】機器内蔵のマシンビジョン(機械視覚)

Machine Vision in Devices

4Q 2017 | Technology Analysis Report | PT-2014 | 25 pages | PDF | Powerpoint |

 

出版社 出版年月価格 ページ数
ABI Research
ABIリサーチ
2017年11月お問い合わせください 25

サマリー

AI and machine learning are increasingly becoming part of everyday life and further impacting how we use our devices. Part of this technology growth comes the need for devices and applications to become more aware of the user’s surroundings which engenders the need for vision systems to capture this information and process it for inferencing. Applications for computer vision are rather extensive, ranging from image cataloging/sorting to securing an individual’s phone through facial recognition and detecting objects/persons in public.

Market movers like Apple, Google, Microsoft, Intel, Qualcomm, Huawei, NVIDIA etc. have started to implement this technology into consumer and enterprise level devices – over time this technology will trickle down to wider breadth of devices and pricing tiers. More nascent markets like AR and VR already rely on vision tech, but will benefit greatly as more developers create new and expand upon existing ways to use devices and users assimilate these applications into their daily lives.  

This presentation covers the computer vision market at the device level and serves as a primer to ABI Research’s future coverage of the market. While not comprehensive from a market perspective the presentation covers some of significant markets including: mobile devices, automotive, AR, VR, Smart Home, and sUAVs. Worldwide forecasts are also provided at the device level for the aforementioned markets.

 

 

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(株式会社データリソース 03-3582-2531、office@dri.co.jp)

 



目次

  • Primer
  • Vision: Two Interrelated Parts
  • Vision
  • AI Moving to the Devices
  • Hardware Considerations
  • Device, Hybrid Cloud, Cloud
  • Market TAM
  • Mobile Devices
  • Augmented Reality + Mobile
  • Virtual Reality + Mobile
  • Virtual Reality
  • Smart Home
  • sUAV
  • Automotive
  • Other Markets and Summary

Companies Mentioned

  • AR Technologies
  • ML
  • Google
  • Intel Corporation
  • NN, Inc.
  • Moving technologies
  • DSP Group
  • Processing Technologies
  • CPU
  • CNN
  • HTC

 

 

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プレスリリース

[プレスリリース原文]

Computer Vision Will Help 650 Million Mobile Devices See and Do More Than Ever
 
Oyster Bay, New York - 20 Nov 2017

We are entering an era where devices can see rather than simply respond to touch.  Recent smartphone launches from Apple (iPhone X), Huawei (Mate 10), and Google (Pixel 2 and Google Clips) are starting to shift the focus from what we see and do with our devices, to what the devices see and do for us.  Major features such as security (e.g. Apple Face ID), social networking (Apple animojis), and content (Google Clips) are early examples of this confluence of computer vision, artificial intelligence (AI), and machine learning. 

These devices also highlight a trend where both computer vision and AI are moving to the end device instead of relying on the cloud, engendering additional market opportunity for chip suppliers to bring to market more robust SoCs and GPUs and solutions like accelerators and VPUs. ABI Research forecasts that by 2022, over 650 million mobile devices will support more advanced vision applications on the device.  Our phones will move from retouching our photos in the cloud to using vision to recognize when we are upset and perhaps starting some music to ease our troubled minds.

“The combination of AI, machine learning, and computer vision will help us use and interact with our devices in new and more profound ways – we will move from one-to-one connections between devices and the Web and remote services to an increasingly connected ecosystem of components that work together,” says Michael Inouye, Principal Analyst at ABI Research. “While some of the markets supporting embedded vision like VR and AR may appear to be new, they are in fact much older than the recent product launches – they are simply spreading because the technology has reached a critical level where science fiction and imagination are starting to become reality.” 

Mobile devices will remain the largest market opportunity by volume of devices for computer vision. Even the expansion of markets like AR and VR will fall short of mobile devices; further, many of these AR/VR applications will leverage or rely on smartphones.  Computer vision will in some ways be bounded by what the camera can see.  Google Clips offers a new take on cameras which attempts to automatically look for and capture great moments.  Smartphone cameras intelligence may be most limited by their field of view.  They will be blind when they are in our pockets; a 180-degree front-facing camera may have immensely more useful intelligence compared to approximately 100 degrees of many devices today.

These findings are from ABI Research’s Machine Vision in Devices report. This report is part of the company’s Video, VR & OTT research service, which includes research, data and analyst insights.

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