Junzhe Wu

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Project

EVCS

Brief Visual Checkout System for Cashierless Store Details
  • Built an Unreal Engine simulator of a real cashier-less store to generate datasets.
  • Solved the problem of rare availability of public datasets and time-consuming real simulation.
  • Used OpenPose to extract the positions of human hands and trained YOLO to identify products.
  • Use background subtraction and feature tracking to get uncovered item image for classification.
  • Explored problems like illumination changes, occlusion.
Technologies

Unreal Engine, YOLO

Lab

Advised by Prof. Pei Zhang

Year

2022