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Updated: Jul 7, 2025

High Throughput Analysis of Liquid Droplet Impacts
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High Throughput Analysis of Liquid Droplet Impacts

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Image processing-based online analysis and feedback control system for droplet dripping process.

Hang Chen1, Ying Tian1, Sheng Zhang1

  • 1Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.

International Journal of Pharmaceutics
|December 24, 2023
PubMed
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This study introduces a novel image processing feedback control system for real-time pill weight monitoring during droplet formation. This non-destructive Process Analytical Technology (PAT) ensures consistent droplet quality in manufacturing.

Area of Science:

  • Pharmaceutical manufacturing
  • Process Analytical Technology (PAT)
  • Quality control systems

Background:

  • Droplet applications are widespread, necessitating stringent quality control.
  • Non-destructive, online analysis techniques like PAT are crucial for precise substance content control in droplets.
  • Controlling droplet quality is vital in pharmaceutical processes, such as pill manufacturing.

Purpose of the Study:

  • To develop and assess a novel feedback control system for real-time quality control of dripping pills.
  • To utilize image processing for non-destructive monitoring of pill weight during the dripping process.
  • To demonstrate the potential for broader industrial applications of the developed system.

Main Methods:

  • Leveraging existing dripping and image acquisition systems.
Keywords:
Dripping pillsDroplet quality controlFeedback controlImage processingProcess analytical technology

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  • Designing a feedback control system based on image processing algorithms.
  • Real-time analysis of droplet images to estimate pill weight.
  • Assessing the efficacy of the developed control system.

    • Main Results:

    • Successful development of a novel feedback control system for dripping pills.
    • The system enables real-time monitoring of pill weight via image analysis.
    • Satisfactory outcomes were achieved, demonstrating the system's efficacy.
    • The system provides real-time feedback for controlling pill weight.

    Conclusions:

    • The proposed image processing-based system effectively controls pill weight in real-time during dripping.
    • This non-destructive approach enhances quality control in pharmaceutical manufacturing.
    • The developed technology has potential for widespread application in various industries requiring precise droplet control.