다양한 색상 및 형태를 갖는 알약의 자동 분류 시스템 = Automatic Classification System of Tablets with Various Colors and Shapes

다국어 초록 (Multilingual Abstract)

The classification of the tablets recovered according to prescription changes is usually carried out manually by a number of pharmacists at the hospitals. Relatively high-wage pharmacists carry out the reclassification of the tablets, which results in a large loss of time and labor, and if the tablets are incorrectly classified, this can lead to medical accidents. In order to overcome these problems, a new automatic tablet classifying machine has been introduced. In the conventional automatic tablet classifying machine, tablets having various shapes, sizes, and colors are transferred to a classifying machine through the line feeder. Problems such as breakaway of the tablets from the line feeder, pilling of the tablets in the line feeder, and appearance contamination of the tablets occur. In this paper, we propose a system that automatically classifies the shape, size, and color of tablets through individual supply method by vacuum adsorption and image processing.

참고문헌 (Reference)

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3 배종욱, "이진화와 색상 히스토그램을 이용한 동전 계산 시스템" 한국정보과학회 21 (21): 424-429, 2015

4 정윤주, "딥 컨볼루션 신경망을 이용한 자동차번호판 영역 검출 시스템" 한국멀티미디어학회 20 (20): 1166-1174, 2017

5 "Vibratory Feeder Bowls"

6 "Line Feeder Transformers"

7 Emtros Ltd., "Classification Apparatus of Recovery Pills, 10-1620858"

8 S. Rashmi, "Algorithm and Technique on Various Edge Detection: A Survey" 4 (4): 2013