Browsing by Author "Md. Abu Obaidah"

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    Open Access
    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.
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    Open Access
    Seeing AI App For Visually Iimpaired People
    (North South University, 2022-09-10) Tabassum Sadia Shahjahan; Alia Maliha Aysharjo; Md. Abu Obaidah; 1931819042; 1711418642
    This report mainly represents the design and implementation of an Mobile App which will basically work as an assistant for the blind or visually impaired people. Through this application the blind people will be able to detect object and get a feedback about the object through a voice recognition ,the person will also be able to recognize colors through this particular app, and now a days it’s quite difficult for people to read books or any instructions with bare eyes this app will also help the blind or visually impaired people to read books or any sort of reading objects for them. This is mainly an mobile based app which will detect objects through Mobilenet SSD algorithm and for speech conversion we have used Google API. This app is mainly an application of Artificial intelligence bringing sight to visually impaired and low vision people by turning the visual world .