In the era of cloud computing, face recognition, one of the most useful applications of image processing, is essential. Human face recognition is a key issue for verification, especially when it comes to tracking student attendance. The objective of this work is to implement an image processing-based automated system for monitoring attendance to both capture the photos and store the dataset. This classroom camera system recognises faces and logs the information in an excel spreadsheet.