Cognex's deep learning design has the ability to distinguish real defects from acceptable coating irregularities, addressing these complex detection challenges. Defect detection tools undergo extensive training involving different classes of glass bottles and multiple angles to thoroughly learn normal component variations, including the acceptable range of coating defects. Then, when analyzing drug bottles, they scan, evaluate, and label features outside the accepted range, all while minimizing false reports caused by coating defects.