Medicine Identification Application for Visually Impaired People

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Angel Negi, Aishwarya Bhure, Dhanashree Patil, Akshita Maskara, Madhuri Bhalekar

Abstract

Reading is a fundamental part of our lives. Information and text is present
everywhere in magazines, in newspapers, in receipts, in letters, bank documents etc. But text
present on medicine and its cover is something which is important and needs to be
crosschecked every time we buy it. While buying medicines, people tend to make sure that
they are buying a correct one by cross checking the medicine name, expiry date,
manufacturing date and the MRP so that they do not get fooled. It is one of the easiest tasks
to perform for normal people as they can read. But what about the people with visual
impairment? How will they be able to get their medicine details?
The proposed application tries to imitate this job for them and helps them better understand
their medicines. The application scans the medicine content side and uses the advanced
technologies like Tesseract optical character recognition (OCR), Computer Vision, Text to
Speech technology to extract the required information and makes it available to the user in
the form of audio. The application helps visually impaired people to independently carry out
this task without the hindrance of a third person

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