Browsing by Author "Md. Abu Obaidah"

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    Face Recognition LogIn System
    (North South University, 2022) Md. Ibrahim Khalil Ullah; Md. Mehraj Uddin; Oali Ullah; Md. Abu Obaidah; 1812015042; 1813213643; 1612545042
    We can identify human faces using a web camera which is known as Face Detection. This is a very effective technique in computer technology. There are used different types of attendance systems such as log in with the password, punch card, fingerprint, etc. With rapid growth in the application of AI, Access Control Systems are walking in a new technology lane. Powered by deep learning technologies or cognitive analytics, login pages can implement more secure, efficient, and easy to use authentication systems. In this project, we have introduced a Facial Recognition type LogIn System that can identify a specific face by analyzing and comparing patterns of a digital image. This system is the Tensorflow LogIn System based on face detection. Primarily, the device captures the face images and stores the captured images into the specific path of the computer relating the information into a database. When anybody tries to enter into any website through this LogIn System, the system captures the image of that particular person and matches the image with the stored image. If this image matches with the stored image then the system allows the person to enter the website, otherwise the system denies entry.