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ABSTRACT
A Facial recognition system is an application of computer vision that can perform two major tasks of identifying and verifying a person from a given database. This database consists of images that can be used to train a deep-learning model. This facial recognition can be used in school for taking attendance, as the traditional format which is being enforced has resulted to be inaccurate, time-consuming, and vulnerable in most cases of large class environments. Facial recognition proves to be more effective in taking attendance than other methods. In any environment, security is very important to prevent the facial recognition system from being accessed by unauthorized persons. This system is designed with a login page for authentication, which requests for username and password to log into the system, the system provides a mailing platform where the attendance will be sent to the school authority for record keeping. This study develops a deep-learning-based facial recognition system used to detect the face of students in a class environment.