Activity Management System Using Image Processing

Abstract

The main agenda of this project is the formation of the automatic attendance system by using image processing that can save the valuable time of teachers and students. It is used the computer algorithms to perform the image processing to detect and recognize faces for attendance. In case of attendance, image processing allows a large amount of algorithms and libraries that have the various advantage such as it can ignore noise and distortion during processing an image. The main reason for the quality of face recognition is that here Python and OpenCV are used as programming language and library, capturing more images on real time for comparing with trained image data. Moreover, the mobile application is designed to help students to know their activities such as total attendance, the number of absence in the class and application will give notification to students either they attend to class or not. We have designed a desktop software and mobile application which will use local storage and online server. There will be data related to the database in the online server and related to the image in the local.