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Synaptics Showcases Range of Edge AI Vision Solutions at Embedded Vision Summit

SAN JOSE, Calif.May 25, 2021 – Synaptics, Incorporated (SYNA) will showcase a range of its AI-enabled vision solutions at this week’s Embedded Vision Summit, with a particular focus on how product developers can implement efficient and high-performance computer vision and multimedia processing at the edge. The virtual event runs May 25-28 and Synaptics will offer demonstrations of its latest Smart Edge AI solutions in real world applications, as well as a special presentation by Synaptics Fellow, Patrick Worfolk.

Synaptics’ solutions are ideally suited for enabling smart displays, smart cameras, video soundcards, set-top boxes, voice-enabled devices and computer-vision IoT products. At the event, the company will feature its VideoSmart VS600 family of edge-computing video SOCs and  Katana ultra-low power solution to demonstrate how enhancements in AI processing capabilities on edge devices are enabling richer and more efficient vision and video experiences.

Demonstrations include:

  • A video conference application that leverages machine learning algorithms to support uses that range from biometrics and automatic access of calendar and video conferencing applications through face and voice identification to a smarter framing of the scene in front of the camera, and understanding the language for auto-subtitling, all on the edge.
  • Real-time video post-processing using machine learning that shows significant enhancements in video scaling and post-processing compared to what had been possible with traditional scaling integrated in SoCs. The demonstration will show a side-by-side comparison of scaling using a traditional hardware scaler and the Synaptics-enabled solution.
  • Ultra-low power vision on the edge, featuring the Katana Edge AI processor and Tensai CC compiler developed by Eta Compute. The demonstration will showcase how Tensai CC compiles a neural network and generates power-, cycle- and memory-optimized code that takes advantage of the Katana architecture enabling a wide range of battery-powered vision use cases.

Patrick Worfolk will be presenting his talk “Visual AI at the Edge: From Surveillance Cameras to People Counters” at 10:30 AM on Thursday May 27 (all sessions are also available on-demand to registered attendees). The presentation will detail how 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. These applications range from enhancing the image quality of a high-resolution camera’s output on higher compute edge SoCs to performing TinyML based computer vision in battery-powered devices at lower resolution. Applications that will be discussed include:

  • Deep night vision: exceptional full color video in very low light conditions
  • Imaging through display: De-noise and distortion correction of both 2D and 3D imagery from a time-of-flight depth camera that images through a smartphone OLED display,
  • Super-resolution: enhancement of high-resolution video imagery
  • Object recognition using lower-resolution sensors running on battery powered embedded devices

To register for the Embedded Vision Summit, visit the virtual event registration page.

About Synaptics Incorporated

Synaptics (Nasdaq: SYNA) is changing the way humans engage with connected devices and data, engineering exceptional experiences throughout the home, at work, in the car and on the go. Synaptics is the partner of choice for the world’s most innovative intelligent system providers who are integrating multiple experiential technologies into platforms that make our digital lives more productive, insightful, secure and enjoyable. These customers are combining Synaptics’ differentiated technologies in touch, display and biometrics with a new generation of advanced connectivity and AI-enhanced video, vision, audio, speech and security processing.

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