Raspberry Pi-based wireless automatic assistance control system used by health center staff

Abstract

The ongoing COVID-19 pandemic has severely strained healthcare systems worldwide, necessitating the implementation of various biosecurity measures by governments to mitigate further virus transmission. Consequently, researchers have increasingly focused on developing automation technologies to minimize direct human contact. However, within healthcare centers, some work assistance processes still rely on inefficient methods wherein each worker fills out an assistance form in the presence of a supervisor. This outdated approach not only leads to time wastage but also introduces errors in the records. To address this issue, we propose the development of a wireless automatic attendance control system utilizing a Raspberry Pi device. This system will be implemented for the staff of healthcare centers, enabling them to record their entry and exit times using either a mobile device or a fingerprint reader. The recorded data will be accessible through a user interface and securely stored in the cloud. By adopting this system, it will be possible to monitor and enforce labor discipline among workers automatically. Through the implementation of the attendance control system, we have observed its optimal functionality, achieving an efficiency rate of 97.16% in registering and storing the entry and exit times of all workers in the database. This level of efficiency is deemed acceptable, given the swift and secure nature of the process.