Abstract
The mechanism which implement in this device is to help visual impairment people and also to modify the hardcopy hospital data into softcopy. The modified softcopy file will be stored as a backup in the drop box. In this project, a device which developed by a web is converts an image text to speech. The basic structure of the system is to capture an image, extract only the interest region (i.e. The image region which has text) and converts that text speech. The device is implemented with the help of system and a web camera. It locates the parts of images which contains the text and eliminate the background by various image pre-processing from the captured image. Two tools are required to convert the captured image (which contains text only).
Highlights
In our world of 7.8 billion humans,2.2 billion people are visually impaired out of which, one billion people cases could have barred or have been absent unaddressed(WHO,2019).In on a daily basis routine, reading is a major importance for humankind
This machine is a performance of text to speech exchange for sightless and visually impaired people
We are converting image to text to speech, personnel assistant based on Google with home mechanization
Summary
In our world of 7.8 billion humans,2.2 billion people are visually impaired out of which, one billion people cases could have barred or have been absent unaddressed(WHO,2019).In on a daily basis routine, reading is a major importance for humankind. This machine is a performance of text to speech exchange for sightless and visually impaired people. Our algorithm processed beneficially and reads the text powerfully.
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