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Achievement of Dynamic Tablet Defect Detection Mechanism Using Biaxial Slope Symmetry Algorithm

  • 0Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung, Taiwan.
Journal of Pharmaceutical Sciences +

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March 14, 2024

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March 14, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces a novel biaxial scanning slope symmetry algorithm for efficient tablet defect detection. The method offers a simple, cost-effective solution for pharmaceutical quality control, ensuring product integrity.

Area Of Science

  • Pharmaceutical Manufacturing
  • Quality Control
  • Image Processing

Background

  • Tablet appearance inspection is crucial in pharmaceutical manufacturing.
  • Current automated methods (AI, optical instruments) are often complex and costly.
  • A need exists for simpler, real-time defect detection solutions.

Purpose Of The Study

  • To develop a cost-effective, real-time tablet defect detection algorithm.
  • To leverage the inherent symmetry of tablet appearance for quality control.
  • To implement a simple arithmetic-based approach for defect identification.

Main Methods

  • A biaxial scanning slope symmetry algorithm was developed.
  • Tablets were scanned simultaneously along X and Y axes using image sensors.
  • Sensor output signals were digitized and stored.
  • Center point coordinates and section slopes were calculated.
  • Square Mean Error (SME) was used to quantify shape defects.

Main Results

  • The algorithm successfully detects tablet shape defects.
  • The method is based on simple arithmetic operations.
  • Experimental results confirm fast and accurate detection performance.
  • The approach offers a dynamic, real-time inspection capability.

Conclusions

  • The proposed biaxial scanning slope symmetry algorithm provides an efficient and accurate method for tablet defect detection.
  • This technique offers a low-cost, simple alternative to complex automated systems.
  • The algorithm is suitable for real-time quality control in pharmaceutical production.

Keywords: