Study of Medicine Dispensing Machine and Health Monitoring Devices

Advancement in information technology and improved communication medium has solved many social issues. It has a great contribution to the healthcare sector. Issues like unavailability of primary health care or healthcare personnel in the outback area still remain unsolved. Many have put forth the concept of vending machines in solving the problem of medicine availability in rural or tribal areas. These vending machines controlled by the microcontroller like Raspberry Pi or BeagleBone and stepper motor are essential part of hardware of these machines which dispenses medicines, and a comparative study of such systems is mentioned in this paper along with study of algorithm which works effectively on classification and prediction of diseases; many machine learning algorithms are used specifically to deal with classification and prediction of diseases which have high accuracy. A study of IoT-based systems which solve problems of unavailability of healthcare personnel by transmitting healthcare data of patients and remotely analysing this transmitted healthcare data such as the body temperature, pulse rate and other different parameters using sensors is also mentioned. Study of medicine dispensing machine and health monitoring system embedded into one machine. The proposed system hardware means the dispensing machine works 24 h with less battery for wearable devices. This paper supports the study of healthcare system machines and realizes the actual understanding or importance of primary health care in rural areas for minor and major diseases.