Smarttendance: A BLE-Based Mobile Application for Real-Time Session Attendance Tracking

IF 3.7 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Vladimir Pleština;Luka Munivrana;Sven Gotovac
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Abstract

Tracking attendance in organized sessions is a crucial but time-consuming task in many institutional and professional environments. Traditional methods, such as manual roll calls or paper-based sign-ins, are inefficient, error-prone, and difficult to scale. This paper presents Smarttendance, an automated attendance tracking system that leverages Bluetooth Low Energy (BLE) technology and mobile applications to verify participant presence in real time. The system enables a session coordinator to scan for nearby participants whose mobile devices broadcast anonymized unique identifiers, significantly reducing administrative overhead while improving accuracy and transparency. Developed using Flutter and Dart, Smarttendance offers cross-platform compatibility, currently supports Android devices and is architected for future compatibility with iOS. A dedicated backend infrastructure supports secure identity management and real-time attendance data storage. Experimental evaluation conducted across multiple physical scenarios — including line-of-sight conditions in a $6\times 10$ m classroom, detection through a Ytong block wall, and detection with devices enclosed in a wooden cabinet — demonstrates 100% detection success across all conditions ( $n = 20$ per condition), with mean detection latencies ranging from 294 ms to 1125 ms depending on environmental factors. The proposed solution is energy-efficient, utilizing BLE’s low-power communication model to minimize device battery consumption while maintaining reliable detection accuracy.
Smarttendance:一个基于ble的实时会话出席跟踪的移动应用程序
在许多机构和专业环境中,跟踪有组织会议的出席情况是一项至关重要但耗时的任务。传统的方法,如手动点名或基于纸张的登录,效率低下,容易出错,而且难以扩展。本文介绍了Smarttendance,这是一种利用蓝牙低功耗(BLE)技术和移动应用程序实时验证参与者在场的自动考勤系统。该系统使会议协调者能够扫描附近的参与者,他们的移动设备广播匿名唯一标识符,大大减少了管理开销,同时提高了准确性和透明度。smarttenance使用Flutter和Dart开发,提供跨平台兼容性,目前支持Android设备,并为将来与iOS兼容而设计。专用的后端基础设施支持安全身份管理和实时考勤数据存储。在多种物理场景下进行的实验评估——包括在6美元× 10美元教室的视线条件下,通过Ytong砌块墙进行检测,以及用封闭在木柜中的设备进行检测——表明,在所有条件下(每个条件n = 20美元),检测成功率为100%,平均检测延迟从294毫秒到1125毫秒不等,具体取决于环境因素。提出的解决方案是节能的,利用BLE的低功耗通信模型最大限度地减少设备电池消耗,同时保持可靠的检测精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.70
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