Cloud-Integrated Fingerprint-Based Attendance System for Smart Campus Applications

Abstract

Traditional authentication methods, such as Radio - frequency identification and identification cards, have several flaws; the biometric technique of authentication provides an immediate substitute for them. Biometrics, such as fingerprints, personalities, and ECG signals, are one-of-a-kind human characteristics that cannot be altered or copied. This simplifies the implementation of real-time systems. Automatic attendance systems are widely used in companies and schools to track people’s whereabouts. This initiative has a wide range of the applications in schools, colleges, corporate organizations, and workplaces where attendance must be marked properly and on time. As a result of the fingerprint reader, the system will be more secure for consumers. The ESP8266 Wi-Fi Module will gather biometric data from many individuals and transmit it to a server through the internet technology. Fingerprints are enrolled on the site using a Fingerprint Reader, and validation is performed on the client via the network transfer of fingerprint patterns.