CVMI - Computer Vision Monitoring Interface

An operator-facing industrial program designed to use upstream package movement data to predict movement trajectories in the future. Capable of working in real time, the project uses OpenCV + Python + YOLO alongside real, physical data and a strongly validated regression model to rapidly output predicted trajectory data. Achieved a correlation of 0.89 with a statistical significance of 99.99%, potentially reducing required product footprint by up to 10%. Product feature has been passed onto full-time engineers for future development.

Maker Techniques:

Test Planning

Python

OpenCV/YOLO Computer Vision

User Experience/UI Design

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