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Machine Learning & Perception

Traffic Inefficiency Identification via Computer Vision

Cut traffic-data-collection labor by 80% with a YOLOv8 pipeline, after consulting Hawaii's DOT.

YOLOv8 vehicle detection with bounding boxes and a live vehicle count

YOLOv8 with Microsoft Mosaic Imaging detects and tracks vehicles across stitched high-resolution intersection composites, replacing manual counting over six months of field testing.

It’s paired with a novel traffic-efficiency model that drops the time hyperparameter and optimizes to minimize interquartile range while maximizing efficiency — developed after consulting Hawaii’s Department of Transportation.

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Let’s build something precise.

Open to internships and research collaborations across precision hardware, mechatronics, and applied ML. Email is the fastest way to reach me.