Precise Integrated Contactless Attendance Tracking, Recording and Analyzing System

Managing employee attendance is a key factor for a large organization since the staff is the main resource for them. In Sri Lanka, currently, there are various methods used to track the attendance of employees, and the traditional manually assigning paper-based signature mechanism, fingerprint method, card strap Radio Frequency Identification (RFID), and biometric-based attendance recording systems such as fingerprint recognition methods are generally used. Most of the systems offer either one-way or two-way authentication for recording the attendance.In this project, we aim to upgrade the customary used individual authentication systems into a single, integrated contactless and biometric-based identity system. To achieve this, a facial recognition mechanism along with the card strap of RFID and fingerprint authentication mechanism(optional) are combined into a singular attendance managing system which can provide the flexibility to use multi-optional biometric identification methods to verify one's identity and mark their attendance. To address the Covid 19 pandemic situation, the system is also equipped with a contactless InfraRed (IR) thermal sensor to detect the temperature of each employee before they mark attendance. As a result, it automates the manual temperature monitoring method of employees without the involvement of another person. The resultant attendance is recorded data in a cloud service platform (Amazon Web Services(AWS)) in real-time and later analyze the stored attendance data using a Database platform. Due to the high secureness of the system, unethical activities conducted by employees when marking attendance can be avoided thus increasing the performance of the organization in the long-term run.