AIMC Topic: Tablets, Enteric-Coated

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Deep learning-based defect detection in film-coated tablets using a convolutional neural network.

International journal of pharmaceutics Jan 18, 2025
Film-coating is a critical step in pharmaceutical manufacturing. Traditional visual inspections for film-coated tablet defect assessment are subjective, inefficient, and labor-intensive. We propose a novel approach utilizing machine learning and imag...
Neural Networks, Computer Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Tablets Drug Compounding Technology, Pharmaceutical Tablets, Enteric-Coated
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Enhancing YOLOv8n with Mamba-like linear attention for defect detection and coating thickness analysis of irregular film tablet.

International journal of pharmaceutics Jun 10, 2025
This study presents a real-time system that integrates deep learning and machine vision for defect detection and coating thickness measurement of irregularly shaped film-coated tablets. To overcome the accuracy and speed limitations of the traditiona...
Deep Learning Image Processing, Computer-Assisted Tablets Drug Compounding Technology, Pharmaceutical Chemistry, Pharmaceutical Excipients Tablets, Enteric-Coated
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