Real-Time Online Attendance System Based on Fingerprint and GPS in the Smartphone

L. Kamelia, E. A. Z. Hamidi, Wahvudin Darmalaksana, Afit Nugraha
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引用次数: 25

Abstract

Real-time online attendance method is helpful for workers who do a lot of activities outside the office or workers with multi-schedule. The attendance system using online biometric fingerprint system will reduce the problems caused by manual system usage such as lags in data management. The purpose of the research is to constructs an online presence system that combines fingerprint modules and GPS. The ZFM-20 fingerprint module is used as the system's main input as well as a security tool as an entrance to get access to the entire system. GPS module is applied to determine the user's location and sends it to the smartphone. Arduino module in the system will send a text message to the parties concerned about the user's location data automatically. Each module works well and testing the entire system showed the system work reliable according to the initial scenario. The User can access the report using SMS, website, and application on the Android smartphone. The fingerprint sensor can determine the fingerprint stored in the database with an average response time of 1.39 seconds, and GPS can determine latitude and longitude with an average error of 0.007352% and 0.0003% respectively.
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基于智能手机指纹和GPS的实时在线考勤系统
实时在线考勤方法对于在办公室外从事大量活动的员工或工作时间多的员工很有帮助。采用在线生物指纹识别系统的考勤系统将减少人工系统使用带来的数据管理滞后等问题。本课题的研究目的是构建一个结合指纹模块和GPS的在线呈现系统。ZFM-20指纹模块作为系统的主要输入和安全工具,作为进入整个系统的入口。GPS模块用于确定用户的位置并将其发送到智能手机。系统中的Arduino模块会自动向相关方发送有关用户位置数据的短信。各模块运行良好,整个系统的测试结果表明,系统按照初始方案运行可靠。用户可以通过Android智能手机的短信、网站和应用程序访问报表。指纹传感器确定数据库中存储的指纹的平均响应时间为1.39秒,GPS确定经纬度的平均误差分别为0.007352%和0.0003%。
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