High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test

This work provides an automated solution for quality control of drug liquid bottles, which is critical for pharmaceutical manufacturers to ensure product safety and quality.

This paper addresses the challenge of online automatic inspection of drug liquid bottles in production lines by designing an implantable visual inspection system. It proposes an ensemble learning algorithm based on multi-feature fusion to detect defects in these bottles.