Ethan Chang
Computer systems engineering
Hometown: Novato, California, United States
Graduation date: Spring 2026
Additional details: Honors student
FURI | Spring 2024
Sensor Fusion System for Improving Motion Amount Quantification within Computer-Vision-Enabled Worker Analysis
In general, machine learning models are as accurate as the datasets that they are fed; in the context of computer vision, this accuracy is determined by sensor quality, input variability, and environmental stability. This project aims to reduce the impact of the aforementioned variables on computer vision models by developing a sensor fusion system to consolidate inputs from multiple sensors. This would decrease costs and increase accuracy, making it feasible for computer vision technology to be applied to existing workplaces.
Mentor: Shenghan Guo
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