Automated Face Detection System for Attendance Management in Educational Institutions

Face detection and face recognition are very important technologies these days, furthermore we noticed that they got have a variety of uses such as cellphones, army uses, and some high risk information offices. We decided to make a device that detects and recognize the face as a student attendance system and can be a substitute for the regular paper attendance system and finger print attendance system. The main function in our project is going to be done using Lab VIEW because, Lab VIEW is a very helpful programming tool in regards of facial uses and very helpful in other uses. Our project is based on a main program in Lab VIEW that detects and recognize faces with giving scores and parameters, furthermore the subsystems are an Excel sheet that is integrated with the program, and a messaging device that is for either a message for absent students or to the student’s parents. Face detection attendance system uses facial recognition technology. This technology works by capturing an image of the face and analyzing it to identify unique facial features such as the distance between the eyes, nose, and mouth, the shape of the jaw line, etc. These features are then compared to a database of registered faces to determine the identity of the person. The technology also uses machine learning algorithms to improve its accuracy and speed as it is used. This allows the system to quickly and accurately recognize faces even in low light conditions or when the person is wearing glasses or a face mask.