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Advancement of Item ID Glasses for Outwardly Disabled Individuals

Ritesh Shinde

Abstract


It is extremely challenging for a person who has complete vision loss to get around. Meandering around the house is simple as they invest greatest energy around there yet it becomes troublesome when they head outside. In this paper, glasses for blind people that can identify objects are created. Machine learning methods are used to accomplish this. In python, there are libraries like TensorFlow and OpenCV. Utilizing these libraries, it is feasible to foster the article expectation model. These contents can be executed on any PC. Remembering this ease of use as well as smallness Raspberry pie 4 is chosen for these brilliant glasses. The data are sent to the processor by the glass's camera module. Then it is contrasted and the articles in the casing with a predefined dataset and it predicts the article. Later it changes over text yield into a sound sign. This's prototype is being made and tested

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References


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