Choking Hazard Detection

Project information

  • Category: Computer Vision
  • Context: University of Washington
  • Year:: 2023

We explore how Neural Radiance Fields (NeRFs) can support the task of identifying toys that are potential choking hazards for babies. We will create a 3D representations of the toys in a room and based on its dimensions, classify the toy as choking hazard or not.

  • ML/DL Tech: CV, NeRFs, Nvidia Instant-NGP, Yolov5
  • Languages and Tools: Python, PyTorch, numpy, COLMAP,