Abstract:
In the face detection and recognition system, the process flow is initiated by being able to detect the facial features from a camera or a picture store in a memory. The algorithm processes the image captured and identifies the number of faces in the image by analysing from the learned pattern and compare them to filter out the rest. This image processing uses multiple algorithm that takes facial features and compare them with known database. The motivation behind this project is to simplify the means by which attendance is taken during lectures and how much time it takes. The use of ID cards or manually calling out attendance and writing it down on sheets is not productive and efficient. This system will detect the number of faces on the class and will also identify them from the store database. With the face detection and recognition system in place, it will be easy to tell if a student is actually present in the classroom or not.
This system helps the faculty members to avoid the difficulties in attendance marking. This helps to avoid the all type of malpractices during the attendance. The automatic attendance management will replace the current manual method. Consolidating attendance of each student is always a risk factors for the faculties. This project will replace this scenario. Calculation of the attendance will get an easier process.
