Abstract:
People who have problems with their eyesight or who have lost their vision are considered to be visually impaired. The challenges that people who are visually impaired confront when attempting to carry out regular tasks are numerous. In addition to this, dealing with money is a significant challenge for them. They are unable to identify the paper currencies since the different categories all use paper with a similar feel and are roughly the same size.
Patients who are visually challenged might benefit from using our money detector software to identify and locate money. Using this program, blind persons are able to talk and provide commands to open the camera of a smartphone. The camera will then click a photo of the note and notify the user by voice how much the money note is worth. This application is intended for blind people.
This Android app makes advantage of speech to text translation in order to translate the instructions that the blind patient provides. Speech Recognition is a technique that enables users to submit spoken input into systems. Users can do this by speaking into a microphone.
This android application makes use of a technology known as text to voice to read the value of a note to the user, and it then turns the text value into speech. This application leverages Azure’s own vision API, which implements a machine learning classification algorithm, to recognize cash based on photos captured with a smartphone camera or on paper.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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