IOT Based IV Drip Monitoring and Control System with Compact Medical Stretcher

Abstract

The majority of incidents, including
intravenous combination, are attributed to
organizational complexity and an inadequate
therapeutic benefit provider-to-patient ratio.
The developing number of occurrences like
these calls for the improvement of a robotized
intravenous organization prepares. This
paper describes the programming perspective
of an intravenous liquid mixture control
framework, including the development of a
graphical user interface for mixture
verification and the establishment of a
database for IV medications. The stream
control robotized. The study also compared
the physical drop rate with the sensorobserved exploratory drop rate. In over 20
tests also, the system is incorporated with an
automated bed which the patient can be
controlled using voice commands for his/her
comfort.