Smart Blind Stick.

A smart stick with an external camera and a Convolutional Neural Network (CNN) algorithm helps visually impaired people navigate their environment more autonomously. Users are able to more easily and confidently traverse their environment on their own because to the system's ability to recognise items in front of them and offer audio output to identify them. A Raspberry Pi computer, the Tensor Flow library, the Coco Dataset, and a Pi camera are used to perform the suggested fix. With a quick response time, minimal power consumption, and a lightweight, foldable form that is simple for users to handle and use, the smart stick is made with the user in mind. The proposed approach could, in general, considerably enhance the standard of living of individuals who are blind by boosting their mobility and autonomy. The smart stick's external camera takes pictures of the things the user is looking at, which are subsequently processed using the CNN algorithm. This algorithm can identify many items, including people, automobiles, and barriers, and it can voice-output the information to the user so they can recognise it. This makes it easier for users to move around and avoid potential dangers. The camera's photos can be processed effectively uses of the by using the Coco Dataset, which increases the algorithm's precision in detecting and classifying various objects. [ABSTRACT FROM AUTHOR]