Browsing by Author "1931313042"

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    AI Dekho (Smar t spect acle for visually challenged people)
    (North South University, 2023) Shajeda Par vin; MD Shadman Zar if; Dr. Atiqur Rahman; 1931313042; 1931796042
    Our study addresses t he hardships experienced by individuals lacking good vision. The cur rent technology t hat helps t he visually impaired people is quite expensive and does not work well for recognizing people’s faces and objects around t hem. The paper introduces a new idea of g lasses t hat can help visually impaired people. As t he wear able market expands, t he primary aim is to enhance people’s lives through t he use of wear able technology. The primary goal of t his project is to provide assistance to visually impaired individuals through t he utilization of g lasses equipped wit h a distinctive camera. The camera helps t hem to identify people and objects, which is important for t heir daily lives. A collection of pictures showing regular people is put together to help wit h identifying t hem. This met hod uses cameras to help people who can’t see well. The main goal is to make special g lasses t hat can recognize faces and objects in real-time using library called OpenCV. The system has two parts, one t hat faces t he user and one t hat connects to a computer. The findings indicate its ability to identify individuals and surroundings, although concerns remain regarding its speed and data transmission methodologies. It aims to redevelop t he wear able wit h more features and cloud computing technologies.