Smart-sensors-based Medicine Identification System

Medication errors have long accounted for the majority of medical errors.The most significant cause of medication errors is human factors.Medical staff may give the wrong medicine during the medicine distribution process.In this paper, we discuss a medicine identification system to replace medical personnel dispensing medicine.In the medicine identification system, we classify and identify medicine on the basis of shape, color, and imprint data sets.In addition, we transplanted the medicine recognition hardware mechanism to the mobile nursing work vehicle so that medical staff can save time in distributing medicines at designated locations.The medicine identification results showed that the identification rate of various medicine types is markably high, and the probability of medicine identification errors is reduced to 34%.