Facial Recognition-Based Time and Attendance System

In recent years, the need for efficient, accurate, and contactless attendance management systems has led to the development and adoption of facial recognition-based time and attendance solutions. These systems utilize biometric facial recognition technology to automate the process of recording employee attendance in workplaces, educational institutions, and other organizational settings. Unlike traditional methods that rely on manual sign-ins, ID cards, or fingerprint scans, facial recognition systems offer a seamless, hygienic, and tamper-proof solution that enhances both security and productivity.A Facial Recognition-Based Time and Attendance System operates by capturing and analyzing the unique facial features of individuals using computer vision and machine learning algorithms. At the core of the system is a facial recognition engine that uses image processing techniques to detect and identify human faces. Each user’s facial features—such as the distance between the eyes, nose shape, and jawline structure—are converted into a mathematical model known as a facial signature or embedding. These signatures are stored in a secure database during the enrollment phase.