Enabling Real-time Machine Vision and Deep Learning on Small Devices

  • Laurent Itti, JeVois Inc

The next generation of consumer devices will require more natural interfaces, stronger situation awareness, and better perceptual capabilities, both to inform users and to interact with them. Computer vision and deep learning are crucial enablers, yet they have remained difficult to implement on embedded systems. I will survey machine vision and deep learning frameworks and technologies available for deployment today, and demonstrate real-time implementations on $5 Arm Cortex-A7 processors of algorithms ranging from barcode reading, to face recognition, and object recognition using deep neural networks.

  • Date:Thursday, October 18
  • Time:11:30 AM - 12:20 PM
  • Location:Executive Ballroom 210G
  • Session Type:Conference Session
  • Room:Executive Ballroom 210G
  • Pass Type:All-Access Pass
  • Secondary Track:Embedded Software Development
Laurent Itti
JeVois Inc