From Light to Insight - AI Enabled Time of Flight Sensors

#sensor #sensing
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Abstract: 

In this talk, we will dive on a journey into a decade of evolution of Time-of-Flight (ToF) sensing. In the last 10 years, ToF sensors have come a long way. Improvements include ranging from 10cm to 10m, from single zones to 2000 zones, and from simple sensors to complete systems with lenses and diffusers. Currently, these sensors are equipped with AI processors that enable smart presence detection, head orientation, hand gesture detection, and air quality monitoring. We will explore the design, architecture and operation of ToF sensors and discuss several intriguing applications enabled by AI applied on ToF sensor stream.

 

 


  Date and Time

  Location

  Hosts

  Registration


  • Date: 12 Mar 2025
  • Time: 06:50 PM to 08:00 PM
  • All times are (UTC-07:00) Pacific Time (US & Canada)
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  • Contact Event Host

  • Bernard Herrera-Soukup

    IEEE SFBA MEMS & Sensors Chapter, Chair

    http://sites.ieee.org/scv-mems/ 

  • Starts 07 March 2025 12:00 AM
  • Ends 12 March 2025 07:00 PM
  • All times are (UTC-07:00) Pacific Time (US & Canada)
  • No Admission Charge

  Speakers

John Kvam of ST Microelectronics

Biography:

John Kvam is a Field Applications Engineer at STMicroelectronics, John has over 40 years of experience in the development of software and sensors. He has worked in the fields of signal analysis, satellite communication, digital TV, and real-time applications. For the last few years John has dedicated his career to making Time-of-Flight a reality. He is ST’s first technical point of contact for applications such as laser assisted autofocus, object detection and ranging. Since the late 70s, John has designed software for companies such as Argosystems, CLI/VTEL, Thomson, Inc., and Grundig.




Agenda

6:70 - 7 PM: Registration

7-8PM: Talk and Q&A