Led computer vision development for a BU capstone autonomous drone designed to detect geese using real-time object recognition.

My role

Owned the detection pipeline, from curating and labeling a custom dataset of 200+ images to training and evaluating goose-recognition models.

Method

Applied YOLOv5 and CNN-based detection methods to identify geese and localize targets with bounding boxes.

Autonomous goose-chasing drone — image 3
YOLO-based goose detection with localized bounding boxes
Autonomous goose-chasing drone — image 4
CNN detection evaluation