The Inspection of Centrifuged Blood Samples Application Note discusses how Cognex Deep Learning is used to automate the inspection of centrifuged blood samples. Traditional machine vision systems struggle with biological sample variations, lighting changes, and different tube types, which makes human inspection inconsistent. Cognex's deep learning-based solution can accurately identify and classify blood sample phases (plasma, buffy coat, and red blood cells), assess quality, and detect clots, turbidity, and color. The system is trained on images to generalize appearance and improve inspection scalability, delivering consistent results with minimal IT or programming requirements.

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