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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Authors
R. KUMARAN,M. BRINDHA,P. HARUNYAA,S. ARCHANA
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Keywords
MCU microcontroller, neural network and Optical Character Recognition
Abstract
Speech and text is the main medium for human communication. A person needs vision to access the information in a text. However, those who have poor vision can gather information from voice. This project has been built by using Node MCU microcontroller. It is controlling the peripherals like Camera and headset which act as an interface between the system and the user. Optical Character Recognitions (OCR) is implemented in this project to recognize characters which are then read out by the system through a headset. The camera is mounted on spectacles/head device; it captures a full view of the paper into the system. it is ensured that there are good lighting conditions. The content on the paper should be written in English and be of good font size. When all these conditions are met the system takes the photo, processes it and if it recognizes the content written on the paper it will announce on the Bluetooth headset speaker that the content on the paper has been successfully processed. After this it speaks out the content that was converted in to text format in the system from processing the image of the paper. In this proposed system, PC Based Reader for Blind helps a blind person to read a paper without the help of any human reader. It also achieves sound bite hearing system for both blind and deaf peoples, we will hear using vibrator when we bite it. It uses the Optical character recognition technology for the identification of the printed characters using image sensing devices and computer programming. It converts images of typed or printed text into machine encoded text. In this research these images are converted into the audio output (Speech) through the use of OCR and Text-to-speech synthesis. The conversion of printed document into text files is done using PC which again uses PyTesseract library and Python programming. The text files are processed & convert into the audio output (Speech) using GOOGLE Text-to-speech (gTTS) & python programming language and audio output is achieved. For visually and hearing impaired person, they can hear sound by using soundbite hearing system using vibrator. Object information using a deep learning object recognition technique. Object recognition algorithms are designed based on the You Only Look Once architecture, an object recognition deep learning model, to detect objects using a camera. In this dissertation, system analyzes accurate object information and obtain a location using a deep learning object recognition technique.
IJCRT's Publication Details
Unique Identification Number - IJCRT2304264
Paper ID - 234143
Author type - Indian Author
Page Number(s) - c248-c256
Pubished in - Volume 11 | Issue 4 | April 2023
DOI (Digital Object Identifier) -
No Of Downloads - 135
Author Country - India, 639111, Karur, Karur, 639111, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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R. KUMARAN,M. BRINDHA,P. HARUNYAA,S. ARCHANA, "TEXT/OBJECT RECOGNITION FOR VISUALLY IMPAIRED PEOPLE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.c248-c256, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT2304264.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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