基于RFID的非生物识别教室出勤系统：通过重量传感器集成实现代理出勤检测
RFID-Based Non-Biometric Classroom Attendance System: Proxy Attendance Detection via Weight Sensor Integration
AI总结：
本文提出一种无生物识别的物联网出勤系统，通过重量传感器和RFID技术解决传统出勤方法存在的代理出勤问题，实现低成本、可重复的出勤管理方案。
摘要：
教育机构中传统出勤跟踪方法导致结构问题，消耗教学时间并威胁学术诚信。出勤时间从小学的几分钟到高等教育的十分钟以上，加上代理出勤问题（代他人签到），凸显了电子系统的必要性。现有电子解决方案大多依赖生物识别认证，在欧洲通用数据保护条例（GDPR）、土耳其个人数据保护法（KVKK）和美国家庭教育权利与隐私法（FERPA）下存在法律和伦理风险。仅使用RFID的系统无法防止通过卡片传输进行的代理出勤。本文提出一种无生物识别的物联网出勤系统，解决上述缺陷。原型包括RFID模块、RFID卡、重量传感器、蓝牙模块和Arduino UNO微控制器。学生刷卡后，重量传感器测量与由三个Kaggle数据集编译的350个个体（年龄18-22岁）的统计参考范围进行比较；不记录任何个人生物数据。基于Python的GUI通过蓝牙实现学生管理、课程跟踪和CSV报告。在接近真实教室的条件下进行的定性测试显示，RFID读取、重量验证、蓝牙通信和GUI模块以预期方式集成运作。所提系统提供了一种低成本且可重复的解决方案，旨在减少代理出勤而不存储生物数据。
英文摘要：
Attendance tracking in educational institutions, when conducted through traditional methods, leads to structural problems that consume instruction time and threaten academic integrity. Attendance durations spanning several minutes in primary and secondary education and exceeding ten minutes in higher education, combined with the proxy attendance problem of signing on behalf of someone else, demonstrate the need for electronic systems. Most existing electronic solutions rely on biometric authentication, which raises legal and ethical risks under the European General Data Protection Regulation (GDPR), the Turkish Personal Data Protection Law (KVKK), and the United States Family Educational Rights and Privacy Act (FERPA). Systems using RFID alone provide no built-in safeguard against proxy attendance through card transfer. This study proposes a biometric-free IoT attendance system addressing both deficiencies. The prototype consists of an RFID module, RFID cards, weight sensors, a Bluetooth module, and an Arduino UNO microcontroller. After the student presents their RFID card, the weight sensor measurement is compared against a statistical reference range of 350 individuals (aged 18-22) compiled from three Kaggle datasets; no personal biometric data is recorded. A Python-based GUI performs student management, course tracking, and CSV-based reporting via Bluetooth. Qualitative tests in conditions close to a real classroom have shown that the RFID reading, weight verification, Bluetooth communication, and GUI modules operate in an integrated manner as expected. The proposed system offers a low-cost and reproducible solution that aims to reduce proxy attendance without storing biometric data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
