Hybrid human resources localization and tracking system

Abstract

Organizational success and productivity depend on the effective and efficient utilization of Human Resources (HR). In view of the importance of HR, organizations put high premium on their safety, wellbeing and adequate monitoring. Several researchers have come up with solutions for monitoring HR movements but the major challenge has been the inability of a single technique to adequately and comprehensively monitor and provide accurate positioning data due to the changing environments of the workplace. This paper presents the implementation of a hybrid HR monitoring system using Global Positioning System (GPS), Radio Frequency Identification (RFID), cameras and sensors. The model is implemented using Python programming language as frontend and MySQL database management system as backend. Case study of the monitoring of selected staff of Information and Communication Technology Application Centre (ICTAC) of Adekunle Ajasin University, Akungba-Akoko, Nigeria was used to test the adequacy and practical functions of the model. Obtained data on positioning accuracy, signal sensitivity, cost of deployment and coverage area formed the basis for evaluation and comparative analysis.