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December 10, 2025Pharmaceutical Development and Technology

AI-Guided Real-Time Detection of Flow Irregularities and Bottlenecks in Pharmaceutical Vial Filling Lines Using Vision-Based Models

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Authors

STSai Vijay ThattukollaSTSai Vinay Thattukolla

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Overview

AI-guided system improves operational efficiency and detects flow irregularities in pharmaceutical lines, highlighting its rule-based approach.

Key Points

  • The research focuses on improving the detection of flow irregularities in pharmaceutical vial filling lines using AI models.
  • Developed a vision-based model to detect bottlenecks and irregularities in real-time.
  • Integrated the solution into existing pharmaceutical lines for scalability and non-invasiveness.
  • Validated the approach in GMP-regulated environments for compliance.
  • Achieved macro average precision of 95.24% in risk classification.
  • Reached a recall rate of 95.83% during validation.
  • F1 score of 95.21% indicates strong overall model performance.

Cite This Study

Thattukolla et al. (2025) studied this question.

synapsesocial.com/papers/69401d412d562116f28f83achttps://doi.org/10.1080/10837450.2025.2602581
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