Framing Cutters

At Aragon, the lunch lines get fairly hectic. People cut, push, and often wait in lines for 10+ minutes to get a small meal. This process of serving food is not helped by those who cut; in fact, it slows down the serving of food and decreases school spirit. At the end of this project, we will have a working model capable of detecting people cutting in line. Though it may not be adopted at Aragon due to technological constraints, it remains the first step towards change.

Tools and References:

  • YOLOv8 YOLOv8 Architecture
  • HiEve (Human in Events) Dataset HiEve dataset example
  • PyTorch pytorch logo
  • Camera (computer camera for early-stage) mac camera