• Title/Summary/Keyword: 알약

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Outline detection of pills using circular kernel and B-Spline (원형 커널과 B-Spline을 이용한 알약 외곽선 검출)

  • Hong, June-hyeok;Jung, Ji-hoon;Park, June-oh;Ko, Byoung-chul;Nam, Jae-Yeal
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.338-340
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    • 2011
  • 본 논문에서는 조제용 알약영상에서 자동 조제 결과를 검증하기 위한 방법의 전 단계로 알약의 외곽선을 검출 하는 방법을 제시한다. 입력 알약 조제 영상에 대해 원형 모양의 커널을 씌우고, 모폴로지 연산을 통해 대략적인 알약의 모양을 생성한다. 이후에, 알약 외곽선으로 부터 일정 간격으로 픽셀을 샘플링하여 B-Spline곡선으로 보간 함으로써 글씨 및 바코드로 인한 잡영을 제거 하였다. 이렇게 생성된 알약의 외곽선 영상은 약품 처방전에 명시되어 있는 대로 약품이 처방되어 있는지는 검증하는데 사용될 수 있는 중요한 요소 기술이다.

Systems for Pill Recognition and Medication Management using Deep Learning (딥러닝을 활용한 알약인식 및 복용관리 시스템)

  • Kang-Hee Kim;So-Hyeon Kim;Da-Ham Jung;Bo-Kyung Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.1
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    • pp.9-16
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    • 2024
  • It is difficult to know the efficacy of pills if the pill bag or wrapper is lost after purchasing the pill. Many people do not classify the use of commercial pills when storing them after purchasing and taking them, so the inaccessibility of information on the side effects of pills leads to misuse of pills. Even with existing applications that search and provide information about pills, users have to select the details of the pills themselves. In this paper, we develope a pill recognition application by building a model that learns the formulation and colour of 22,000 photos of pills provided by a Pharmaceutical Information Institution to solve the above situation. We also develope a pill medication management function.

Pill Identification System Using Image Processing in Smart Phone (스마트 폰의 영상 처리를 통한 알약 인식 시스템)

  • Hwang, Jin-sung;Kim, Kyung-yeon;Jeon, Ye-rin;Choi, Ye-rim;Park, Kwang-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.1010-1011
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    • 2013
  • In this paper, we have developed a system for identifying pills and providing their information by image processing to assist the health care of the elderly. A wide variety of pills can lead to the difficulty of distinguishing for the elderly at home and results in unusage and abandonment of the pills. To resolve this problem, we obtain images from a camera of a smart phone, extract features such as shape, line and color by image processing, classify pills, and provide information including the name, effect and directions for the usage of the pills.

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A Study on TensorFlow based Image Processing: Focusing by Pill Classification (텐서플로우 기반 이미지 프로세싱에 대한 연구: 알약분류 중심으로)

  • Joe, Soo-Hyoung;Kang, Jin-Goo;Kim, Jung-Hoon;Lee, Sung-Jun;Kim, Gyeyoung;Kim, Youngjong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.559-561
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    • 2019
  • 이미지 프로세싱이란 기존의 이미지에 대해 컴퓨터를 이용하여 새로운 이미지로 창작하거나 수정하는 일련의 작업 과정이다. 우리는 알약의 이미지를 가져와 machine이 인지 할 수 있도록 수정한 후, 사진에 찍힌 알약을 구별하고 사용자 에게 그 알약의 정보들을 제공 할 수 있는 텐서플로우 기반의 이미지 프로세싱 방법에 대해 연구 하였다.

Medicine-taking time alarm using weight sensor (무게 센서를 이용한 약 먹는 시간 알람기)

  • Kim, Sun-ok;Kim, Tae-Gyun;Kwon, Eun-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.165-167
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    • 2021
  • 본 논문은 노약자와 장애인의 편의를 도모하기 위하여 주기적으로 약을 복용해야하는 시간을 알려주는 시스템이다. 무게 센서를 사용하여 7일간 복용해야 하는 알약들의 전체 무게를 측정하고, 사용자가 알약을 복용하면 줄어든 알약의 무게를 다시 측정하여 복용 여부를 판단하는 시스템이다. 또한 알약을 복용하지 않은 사용자에게 이를 알려주기 위해 설정된 특정 시간에 다시 알려주는 작업을 수행하도록 구성하였다. 본 논문에서는 시뮬레이션을 통하여 이와 같은 시스템의 작업 수행 과정을 세분화하여 보여줌으로써 사용자들이 잊지 않고 약을 복용하는 것을 도와주고자 한다.

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Automatic Pill Dispenser Based on Arduino (아두이노 기반의 자동 알약 배급기)

  • Kim, Ji-Min;Kim, Min-Ji;Lee, Su-Jin;Kim, Sung-Chan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.854-856
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    • 2016
  • Nowadays, the interests about medical service and health concerting, in other words "Healthcare",are increasing. For healthcare, one of the most convenient and populated methods is taking nutritional supplements like vitamin everyday. According to social currency, we realize ' Automatic Pill Dispenser (APD)' in order to make the storage of pills easy and to help people take pills steadily periodically. First, the APD alerts at the time when the user sets. To prevent polluting pills, if the ultrasonic sensor recognizes user hands, and then after the APD distributes pills through activating the motor. If there are more the APDs, for example, hospitals can manage manpower more efficiently. Furthermore, If it is recorded which and how much pills are distributed automatically, It can be expected that people can take the pills more efficiently and healthfully.

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CBIRS/TB Using Color Feature Information for A tablet Recognition (알약 인식을 위해 색 특징정보를 이용한 CBIRS/TB)

  • Koo, Gun-Seo
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.2
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    • pp.49-56
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    • 2014
  • This thesis proposes CBIRS/TB method that uses a tablet's color distribution information and form distinctive in content-based search. CBIRS/TB can avoid misuses and improper tablet uses by conducting content-based search in commonly prescribed tablets. The existing FE-CBIRS system is limited to recognizing only the image of color and shape of the tablet, that leads to applying insufficient form-specific information. While CBIRS/TB utilizes average, standard deviation, hue and saturation of each tablets in color, brightness, and contrast, FE-CBIRS has partial-sphere application problem; only applying the typical color of the tablet. Also, in case of the shape-specific-information, Invariant Moment is mainly used for the extracted partial-spheres. This causes delayed processing time and accuracy problems. Therefore, to improve this setback, this thesis indexed color-specific-information of the extracted images into categorized classification for improved search speed and accuracy.

IoT-based Taking Medicine Automation System

  • Kim, Sun-Ok;Kwon, Eun-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.4
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    • pp.161-168
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    • 2021
  • In this paper, it is a system that informs people who take medication periodically to facilitate the convenience of the elderly and the disabled. It is a system that measures the full weight of pills that need to be taken for a week using a weight sensor, and then determines whether or not the pills are taken by measuring the weight of the reduced pills again when the user takes them. For people with disabilities who are unable to move, it includes the function of automatically transporting medicine to the user-set location at the time of use using a line tracer based autonomous vehicle. It is also configured to inform users who have not taken the pill through an alarm that includes visual and auditory functions at a specific time to inform them of this. This work attempts to help users take their medication without forgetting by segmenting the task performance process of such a system through simulations.