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Development of Object Identification Glasses for Visually Impaired People

Prathmesh Kulkarni, Ritesh Patil, Manoj Kastoore, Abhishek Shinde, Ravindra Munje

Abstract


Someone with the complete loss of vision, for him or her it is very difficult to navigate around places. Roaming around the home is easy as they spend maximum time over there but it becomes difficult when they go outside. In this paper, object identification glasses for blind persons are developed. This is achieved with the help of machine learning techniques. In python, there are libraries like TensorFlow and OpenCV. Using these libraries, it is possible to develop the object prediction model. These scripts can be executed on any computer. Keeping this user-friendliness as well as compactness in mind Raspberry pie 4 is selected for these smart glasses. The camera module on the glass sends the data to the processor. Then it is compared with the objects in the frame with a predefined dataset and it predicts the object. Later it converts text output into an audio signal. The prototype for this is developed and tested.

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References


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