Abstract: Health threat is not an age-dependent issue due to our hectic schedule and irregular lifestyle in the modern era. Internet of Things offer a relatively easier solution for patients’ real-time health monitoring from a remote place like from the hospital as well as home or from any other places. One of the very important aspects is surveillance of saline level in hospitals. Often due to negligence and casualty of hospital staff the saline bottle is not changed and as such it proves fatal for the patients. This paper focuses on developing a saline level monitoring system using IR sensors and load sensor along with a machine learning based approach which predicts the time when the saline bottle needs to be changed ahead of time so that there is absolutely no faulty situations coming up. The proposed system helps in increasing the overall patient care.

Keywords: Internet of Things, Machine Learning, Node MCU, IR sensor, Load Sensor

PDF | DOI: 10.17148/IARJSET.2020.7428

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