IoT Based Face Recognition System for Attendance Monitoring: A Review

Abstract

The Internet of Things (IoT)-based face recognition system for attendance monitoring is a cutting-edge solution that uses facial recognition technology and the power of IoT to streamline the attendance management process. Traditional attendance systems, including manually entered paper records or card systems, are error-prone, time-consuming, and incapable of real-time monitoring. By automating the attendance process, increasing accuracy, and offering real-time data analysis, this solution overcomes these issues. The system's three main components are IoT devices, a facial recognition module, and a cloud-based attendance management platform. IoT devices, such as webcams or smart devices with cameras, are strategically placed wherever attendance needs to be tracked. These gadgets take pictures of people's faces and send the information to the face recognition module. The face recognition module analyses and recognizes faces in real-time by using sophisticated algorithms and machine learning approaches. To verify a person's identification, it compares the acquired facial photos with a database of people who have already registered. To ensure correct recognition, the module is capable of handling a variety of environmental factors, including changes in lighting, position variations, and face expressions. The cloud-based attendance management platform receives the attendance data after the face is recognized. The technology offers real-time analytics and reporting capabilities in addition to securely storing attendance information. Administrators or teachers can use it to remotely access attendance data, monitor attendance trends, spot patterns, and create detailed reports. Compared to conventional attendance systems, the IoT-based facial recognition system has a number of advantages. It does away with the necessity for manual record-keeping, minimizing administrative work and risk of mistakes. The system offers real-time monitoring, enabling prompt response in the event of any anomalies or discrepancies. Because the system can identify and alert for unauthorized individuals, it also improves security by preventing unauthorized access. To sum up, the IoT-based facial recognition system for attendance monitoring is a reliable and effective solution that makes use of IoT and facial recognition technologies to automate and streamline the attendance management process. In addition to providing precise and real-time attendance tracking, it also eases administrative duties, enhances security, and gives insightful data that can help with decision-making.