Conventional machine vision systems can accurately calculate quantities of drugs and vials but lack flexibility and adaptability for certain error scenarios, unlike Cognex Deep Learning. Capabilities extend further than counting, encompassing misaligned, reversed, or color-confused containers, thereby improving Overall Equipment Effectiveness (OEE). Component location tools train with containers orientated towards various directions, resulting in consistent recognition across all possibilities, generating reliable counting methodologies considering peripheral distortions simultaneously.