Harnessing IoT for Intelligent Attendance Tracking

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Abstract

This abstract provides an overview of an Attendance Monitoring System that leverages IoT, Cloud, AI, and ML technologies to enhance efficiency and accuracy in tracking attendance records. The system integrates IoT-enabled devices, such as biometric sensors, RFID/NFC scanners, or facial recognition cameras, to capture attendance data in real-time. These devices are strategically placed at key entry points, classrooms, or workspaces, ensuring a seamless and non-intrusive attendance recording process. Attendance data is securely stored in the cloud with the real time data process. By using these advanced technologies of IOT, cloud, AI and ML the data is secured and accessed by the authorized people. This attendance monitoring system brings transparency in the workspace and improves organizational efficiency and productivity.

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Keywords

RFID Radiofrequency identification module),Camera module, Biometric (fingerprint sensor),cloud, AI, Raspberry Pi 3 Model B