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Hybrid human resources localization and tracking system

机译:混合人力资源本地化和跟踪系统

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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.
机译:组织成功和生产力取决于人力资源的有效和高效利用(HR)。鉴于人力资源的重要性,组织对其安全,福祉和充分的监测提供了高溢价。几位研究人员提出了监控人力资源运动的解决方案,但主要挑战是由于工作场所的不断变化而充分和全面监测的单一技术无法提供精确的定位数据。本文介绍了使用全球定位系统(GPS),射频识别(RFID),摄像机和传感器的混合人力资源监控系统。该模型使用Python编程语言作为前端和MySQL数据库管理系统作为后端实现。 Ackungle Ajasin University的信息和通信技术应用中心(ICTAC)监测案例研究,Akungba-Akoko,尼日利亚用于测试模型的充分性和实际功能。获得关于定位精度,信号灵敏度,部署成本和覆盖区域的数据形成了评估和比较分析的基础。

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