REAL TIME OBJECT DETECTION FOR VISUALLY CHALLENGED PEOPLE USING MACHINE LEARNING

REAL TIME OBJECT DETECTION FOR VISUALLY CHALLENGED PEOPLE USING MACHINE LEARNING

Prof. Sneha A. Khaire¹, Dhanraj Nikam², Ajinkya Pawar³, Chaitanya Devkar⁴, Shubham Pagar⁵

Assistant Professor¹  BE Students^2,3,4,5

Department of Computer Engineering,

Sandip Institute of Technology and Research Centre, College of Engineering, Nashik - 422213

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Abstract - The latest generation of mobile phones have excellent hardware capabilities and quicker processing, which are strong enough to enable the creation of applications that enable users to connect and engage with the outside world at their own pace. This system reads OCR and utilizes the camera app on your smartphone in addition to the camera.

Optical Character Recognition (OCR) is a tool that converts printed, handwritten, or typed text into machine-readable text from a picture. This system will assist you in taking a photo of or scanning a document that is currently in your possession using the camera on your phone. After the image has been scanned, an application will read any English-language text and turn the results into speech. The speech communication channel is regarded by the authors as one of the most crucial modalities to help the blind and low vision people in the state-of-the-art accessibility area.

Key Words:  OCR, camera app, speech, blind, vision