Abstract
Development of Smart Pillbox Using 3D Printing Technology and Convolutional Neural Network Image Recognition
Highlights
Pill packaging is one of the key tasks of every hospital and clinic
In addition to human factors, medication safety is a major consideration, i.e., whether the quantity and content of the drugs are correct. Some companies, such as TOSHO in Japan[1] and JVM in Korea[2] have developed an automated drug-packaging system with which prescriptions are accepted from various units of the hospital through a computer, and the drugs are delivered according to the prescription
The pills are counted and placed in a medicine bag and sealed, with a label printed to complete the packaging of the medicine. We modify this concept of an automated drugpackaging system to develop a personalized or family-type medicine management system or a smart pillbox
Summary
Pill packaging is one of the key tasks of every hospital and clinic. In large hospitals, the pharmacy department must exert much effort in handling many types of medicine for packaging. In addition to human factors, medication safety is a major consideration, i.e., whether the quantity and content of the drugs are correct. To solve this problem, some companies, such as TOSHO in Japan[1] and JVM in Korea[2] have developed an automated drug-packaging system with which prescriptions are accepted from various units of the hospital through a computer, and the drugs are delivered according to the prescription. In the development of the application software (app) for use with a smartphone with basic functions, such as timing and counters, the dispensing of pills only requires defining
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