Abstract
The technology is growing vastly. Everyone in humanity has some limitations. One of those limitations is visual disability. So we are here with a system that helps the visually disabled people. The framework here contains object detection with voice assistance within an app and a hardware part attached to the blinds stick for distance calculation. The app is designed to support the blind person to explore freely anywhere he wants. The working of the framework begins by surveilling the situations around the user and distinguishing them utilizing a camera. The app will then detect the objects present in the input video frame by using the SSD algorithm comparing it with the trained model. The video captured is partitioned into grids to detect the object obstacle. In this way, the subtleties of the object detected can be achieved and along with it distance measurement can also be calculated using specific algorithms. A Text to Speech TTS converter is utilized for changing over the data about the object detected into an audio speech format. The framework application passes on the scene which the blind people is going in his her territorial language with the snap of a catch. The technologies utilized here makes the framework execution effective. Sabin Khader | Meerakrishna M R | Reshma Roy | Willson Joseph C "Godeye: An Efficient System for Blinds" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31631.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31631/godeye-an-efficient-system-for-blinds/sabin-khader
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