IOT Based Saline bottle for Healthcare


As the world population is increasing, the need of health prevention is also increasing day by day. Hence, it is mandatory for everyone in this world to take care of their health properly. In these recent years, there is a rapid progress in medical care due to the technological advancements in the various fields of sensors, micro-controllers, and computers for assuring fast recovery of patients in the hospitals. The major and fundamental requirement of the hospitalized patients is that every patient should be provided with a better treatment and observation and should be supplied the correct amount of vital nutrition at the correct time. Among the various treatments, the saline therapy is the most important treatment that many patients receive from the hospitals. The bottle of saline is fed to the patients to treat dehydration and thus improve their health. In the hospitals, whenever a saline is fed to the patients, the patient needs to be continuously administered by a nurse or a care-taker. But unfortunately, there are some critical situations, i.e., patient's blood re-flexing back into the saline tubing system due to the negligence towards the saline completion and busy schedules of the responsible doctors, nurses, or the care-takers, so a huge number of patients are dying or are being harmed in the hospitals. Hence to prevent the patient from getting harmed and to protect their lives during saline feeding hours, the saline level monitoring and automatic alert system has been developed. The proposed system facilitates a sophisticated method of controlling saline drop rate by monitoring the saline system remotely by using Internet Of Things platform. The proposed system consists of a sensor used for monitoring the critical level of the saline liquid in the saline bottle and a mechanism that will stop the saline flow automatically after the saline bottle is completely empty. This proposed system can be utilized efficiently in homes as well as hospitals



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB Raspberry pi/arduino,other hardware components (please call) • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL