Abstract
In this paper, authors proposed smart health monitoring system which reduces human effort, gives accurate and quick result. The proposed system is implemented using efficient method of face recognition of patients. New case for a first time patient generated and registered in the database using face recognition. During the regular check-up of the patients, the database will be updated. The database is maintained on to the cloud with the prototype Healthboard. Healthboard consist of Graphical User Interface (GUI) which allows registration of new case by face recognition of patient and default parameters like pulse rate, blood pressure etc. are noted and updated on the database. The default health parameters measured using sensor which are interface with IoT Module. Here ESP-32 is used as an Internet of Things (IoT) module. Healthboard GUI is designed using python. Face recognition algorithm designed using Open Vision Computer (OpenCV) library and Amazon DynamoDB is used as a cloud.
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