Internet of Things-Based Monitoring and Mapping of Absentee Visualization on the Shop-Floor

Abstract

In all the companies, attendance of the employee is taken after the employee enters the factory through their signature or biometrics which would consume a lot of time. The main objective is if the attendance of the operators is taken even before they enter the premises, the supervisor gets to know if a particular employee is absent. This can be done by virtually connecting the finger-print sensor output to the cloud and so that the supervisor can access the cloud and get the information of the operators who have boarded the buses. The R-307 fingerprint sensor is used as the main input. The Raspberry Pi will process the data and the global system for mobile communication (GSM) will send the text message to the respective supervisors. The finger-print sensor can determine the finger-print stored in the database with an average response time of 0.8 seconds.