“Visual AI at the Edge: From Surveillance Cameras to People Counters,” a Presentation from Synaptics

Patrick Worfolk, Senior Vice President and CTO of Synaptics, presents the “Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters” tutorial at the May 2021 Embedded Vision Summit.

New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI devices with small, low-cost, low-power cameras. Synaptics has embarked on a roadmap of edge-AI DNN processors targeted at a range of real-time computer vision and multimedia applications. These span from enhancing the image quality of a high-resolution camera’s output using Synaptics’ VS680 multi-TOPS processor to performing computer vision in battery-powered devices at lower resolution using the company’s Katana Edge-AI SoC.

In this talk, Worfolk shows how these edge AI SoCs can be used to:

  • Achieve exceptional color video in very low light conditions
  • De-noise and distortion-correct both 2D and 3D imagery from a time-of-flight depth camera that images through a smartphone OLED display
  • Perform super-resolution enhancement of high-resolution video imagery, and
  • Recognize objects using lower-resolution sensors under battery power.

See here for a PDF of the slides.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone: +1 (925) 954-1411
Scroll to Top