International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN:2583-1062
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Paper Details

REAL TIME OBJECT DETECTION FOR VISUALLY CHALLENGED PEOPLE USING MACHINE LEARNING (KEY IJP************541)

  • Prof. Sneha A. Khaire,Dhanraj Nikam,Ajinkya Pawar,Chaitanya Devkar,Shubham Pagar

Abstract

Newer mobile phones have superior hardware and faster processing, which are powerful enough to support the development of applications that let users interact with the outside world at their own pace. This system makes use of both the camera and the camera app on your smartphone. It also scans OCR. Using a technology called optical character recognition (OCR), printed, handwritten, or typed text from an image may be transformed into machine-readable text. Using the camera on your phone, this method will help you take a picture of or scan a document that is now in your possession. Any English-language text in the image will be read by a programme once it has been scanned, and the findings will be converted into voice. According to the authors, one of the most important modalities for assisting persons with low vision and blindness in the modern accessible space is voice communication.

DOI LINK : 10.58257/IJPREMS31126 https://www.doi.org/10.58257/IJPREMS31126
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