The attendance system is essential in schools and colleges. There are several drawbacks to manual attendance systems, including the fact that they are less dependable and difficult to maintain. This enhances accuracy while requiring less time than previous ways using an attendance system using facial recognition technology. There are several current attendance systems, such as IoT facial detection, PIR, and so on. For facial recognition, hardware devices are also helpful. The problem is to ensure that all sensors function well without damage. The aim is to use the hair cascade algorithm to create a system with the best accuracy of all of the methods and methods. Images may be taken between 50 and 70 cm away. A graphical user interface is meant to let users with one click to collect images, build datasets and train datasets. After recognition of the face, it shows the student's name and roll number. In the attendance sheet, the information is automatically provided together with the date and time.
Keywords
face detection, face recognition, Haar features, histogram of oriented gradient, PIR sensor
