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This project aims to support the development of an automated chick sorting device that uses software, cameras, and conveyors. Techniques to increase the consistency of chick reactions to maintain separation along a conveyor and to induce wing spreads will be explored. The wing spread is required to expose to biological markers that exist on the wing tips. With more consistent and reliable chick reactions, a machine learning model will be better equipped to train and inference the data.
Erik Scheme
Chick Pick
Engineering
Agriculture
University of New Brunswick
Accelerate
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