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Development of an Automatic Pill Image Data Generation System.

Juhui Lee1,2, Soyoon Kwon1,3, Jong Hoon Kim2

  • 1Department of Biomedical Engineering, College of Health Science, Gachon University, Incheon, Korea.

Healthcare Informatics Research
|February 15, 2023
PubMed
Summary
This summary is machine-generated.

An automated pill filming system was developed to capture diverse pill images from multiple angles. This system efficiently generates high-quality, uniform background images for improved pill identification and data analysis.

Keywords:
AutomatismData SystemsInternet of ThingsMotor SkillsTablets

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Area of Science:

  • Computer Vision
  • Medical Imaging
  • Pharmaceutical Technology

Background:

  • Visual identification is crucial for pill recognition and information retrieval.
  • Existing image processing studies lack automated pill image data generation systems.

Purpose of the Study:

  • To propose and develop an automated system for generating pill image data from various angles.
  • To address the need for a system that captures comprehensive pill visual data.

Main Methods:

  • Designed a three-component system: structure, controller, and graphical user interface (GUI).
  • Utilized 3D printing with polylactic acid for lightweight construction.
  • Implemented a reciprocating seesaw mechanism with a webcam for image capture and automated data storage.

Main Results:

  • The system generates 300 pill images per workflow.
  • Data collection per pill takes 21 minutes and 25 seconds.
  • Images are saved as .jpg files with 1280 × 960 resolution and 96 DPI.

Conclusions:

  • The developed system automatically generates pill image data from multiple angles.
  • The controlled environment ensures uniform backgrounds, simplifying image processing.
  • The generated high-quality, diverse dataset can advance research in pill image analysis.