MobileNet architecture -Based Pill Detection System for Accurate Drug Identification in Healthcare

  • Unique Paper ID: 177413
  • Volume: 11
  • Issue: 12
  • PageNo: 544-548
  • Abstract:
  • Accurate pill identification is vital for patient safety, especially in environments like hospitals, pharmacies, and eldercare, where medication errors can be life-threatening. Manual verification methods are prone to error, particularly with visually similar pills. This paper presents a lightweight, efficient, and accurate pill detection and classification system using the MobileNet architecture, optimized for deployment on mobile and edge devices. Leveraging transfer learning and a curated pill image dataset, the system is capable of identifying pills based on shape, color, imprint, and size. Experimental results show that the MobileNet-based model achieves high classification accuracy with minimal latency, making it ideal for real-time, on-device healthcare applications. The system improves drug safety and supports healthcare professionals in minimizing medication errors.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 544-548

MobileNet architecture -Based Pill Detection System for Accurate Drug Identification in Healthcare

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