Announcing the Winners of the TensorFlow Lite for Microcontrollers Challenge!

Posted by Pete Warden for the TensorFlow team

TF Challenge Winners! Graphic

In May 2021, we published the TensorFlow Microcontroller Challenge, inviting developers to push the boundaries of TensorFlow Lite for Microcontrollers. Our sincere thanks go out to all those who participated in our competition and contributed to its success! Submissions came from 20 countries across 6 continents.

We’re excited to announce the five winning entries.

  • Mapping Dance by Eduardo Padrón: Take control of lighting and video projections with your dance moves.
  • Move! by Yongjae Kim, Jonghyun Baek, Eunji Lee, Yeonhee Kim, and Jueun Choi: Stay active, using movement to control a variety of games.
  • Snoring Guardian by Naveen Kumar: A snore-no-more device embedded in your pillow.
  • Squat Counter by Manas Pange: Focus on your form, while this tracker counts your squats.
  • Voice Turn by Alvaro Gonzalez-Vila: A safer way for cyclists to signal using their voice.

These projects push boundaries, spark joy, and show off the helpfulness of TensorFlow Lite for Microcontrollers. The teams who created them will each receive a prize and meet with the TensorFlow team.

To view the winning entries, check out the TensorFlow Lite for Microcontrollers collection on Experiments with Google. Read More