Machine Vision in Devices Image

Machine Vision in Devices


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 the 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. 

Table of Contents: 

  • 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