scholarly journals VirtualEye: Android Application for the Visually Impaired

2021 ◽  
Author(s):  
Jay Bagrecha ◽  
Tanay Shah ◽  
Karan Shah ◽  
Tanvi Gandhi ◽  
Sushila Palwe
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Android Application ◽  
Visually Impaired People ◽  
Currency Note ◽  
Visually Challenged ◽  
Blind User ◽  
User Friendly

In India, almost 18 million visually impaired people have difficulties in managing their day-to-day activities. Hence, there is a need to develop an application that can assist them every time and give vocal instructions in both English and Hindi. In this paper, we introduced a robust lightweight Android application that facilitates visually impaired individuals by providing a variety of essential features such as object and distance detection, Indian currency note detection, and optical character recognition that can enhance their quality of life. This application aims to have a user-friendly GUI well suited to the needs of the blind user and modules like Object Recognition with Image Captioning so that the visually challenged user can gain a better understanding of their surroundings.

scholarly journals Effective Shopping Method for Visually Impaired People using Optical Character Recognition

2019 ◽  
Vol 9 (1) ◽  
pp. 5304-5306
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Detection Method ◽  
General Terms ◽  
Visually Impaired People ◽  
Impaired People ◽  
Text Reading ◽  
Blind User ◽  
Blind Persons

Visual impairment persons are not able to do all works as normal persons especially during purchasing products in supermarket. To help the blind peoples recognise the objects a text reading method is proposed along with the help of camera. A motion detection method is used to detect the presence of the object. The audio instructions about all the objects and their location in supermarket are notified to the blind user that helps them to move freely inside the supermarket. The proposed system aims to make more convenient for the blind persons to purchase in a sophisticated environment. This system also provides easy shopping, consumers time is saved, etc. The implementation of proposed system is done using artificial intelligence and OCR technology. General Terms Visually impaired people, smart shopping, OCR.

scholarly journals Smart Reader Glass for Blind and Visually Impaired People

2021 ◽  
Author(s):  
S. Anbarasi ◽  
S. Krishnaveni ◽  
R. Aruna ◽  
K. Karpagasaravanakumar
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Cost Effective ◽  
Blind And Visually Impaired ◽  
Novel Technology ◽  
Visually Impaired People ◽  
Impaired People ◽  
User Friendly ◽  
Recognition Technique

Visually impaired people fail to read the text with existing technology. The proposed project targeted to design a spectacle with a camera by which the blind visually impaired people can read whatever they want to read based on contemporary OCR (optical character recognition) technique and text-to-speech (TTS) engines. This proposed smart reader will read any kind of documents like books, magazines and mobiles. People can access this novel technology with blindness and limited vision. The earlier version of the proposed project was developed successfully with mobile reader which had certain drawbacks such as high cost due to the need of android mobile, not user friendly and improper focusing. To overcome these disadvantages, a spectacle type reader with camera is proposed in this project, which will be cost effective and more efficient.

scholarly journals A Smart Reader for Blind People

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1566-1568
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Raspberry Pi ◽  
Human Communication ◽  
Human Needs ◽  
Normal People ◽  
Optical Character ◽  
Visually Impaired People ◽  
Visually Challenged

This paper presents an intelligent bot for aiding the visually challenged people. Presently, 81% are visually impaired who live in the developing countries. Nowadays Human communication is mainly focused on text and speech. To read the text a human needs a vision. Survey conducted on several papers and systems provides hardware consisting of a camera interface with Raspberry Pi for processing the text. The camera captures text image of a handwritten or printed text. The raspberry pi makes use of Optical Character Recognition (OCR) software installed in it, to perform the conversion of an image to text and similarly text to speech conversion. The assistant is applicable for visually impaired people as well as for normal people in order to increase their level of comfort.

scholarly journals Mobile app with reading speech-translated OCR images for visually impaired people

2020 ◽  
pp. 26-31
Author(s):  
Francisco Vázquez-Guzmán ◽  
Liliana Elena Olguín-Gil ◽  
Eduardo Vázquez-Zayas ◽  
Brawhim Jesseth Nicanor-Pimentel
Keyword(s):  
Mobile Application ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Mobile App ◽  
Social Environments ◽  
Educational Work ◽  
Visual Disabilities ◽  
Visually Impaired People ◽  
Tone Of Voice

This research allows to have an overview of the different technologies that can be used to benefit people with visual disabilities. In the association "Sentir con los ojos del corazón" located in Tehuacán, Puebla, México, people with visual disabilities are served who do not have the technological tools available to understand their environment, such as restaurant menus, signs on doors, reading a book and any setting that contains a text, making life difficult in a world where most texts are oriented towards visual people. There are few applications for people with visual disabilities that allow them to improve their lives in the different areas in which they operate. Therefore, it is proposed to design a mobile application that interacts with a virtual assistant to translate the images into text to speech through optical character recognition (OCR), allowing them to function in different educational, work, social environments, among others. This project allows the Inclusion of people with visual disabilities to improve the quality of life using applications for mobile devices and to be self-sufficient in their daily life, later managing to translate in different languages, with different intensities and tone of voice, using different platforms.

scholarly journals A scene perception system for visually impaired based on object detection and classification using CNN

2020 ◽  
Vol 32 ◽  
pp. 03039
Author(s):  
Lalita Moharkar ◽  
Sudhanshu Varun ◽  
Apurva Patil ◽  
Abhishek Pal
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Scene Perception ◽  
Data Entry ◽  
Recognition System ◽  
Indian Languages ◽  
Visually Impaired People ◽  
Perception System ◽  
Simple Systems

In this paper we have developed a system for visually impaired people using OCR and machine learning. Optical Character Recognition is an automated data entry tool. To convert handwritten, typed or printed text into data that can be edited on a computer, OCR software is used. The paper documents are scanned on simple systems with an image scanner. Then, the OCR program looks at the image and compares letter shapes to stored letter images. OCR in English has evolved over the course of half a century to a point that we have established application that can seamlessly recognize English text. This may not be the case for Indian languages, as they are much more complex in structure and computation compared to English. Therefore, creating an OCR that can execute Indian languages as suitably as it does for English becomes a must. Devanagari is one of the Indian languages spoken by more than 70% of people in Maharashtra, so some attention should be given to studying ancient scripts and literature. The main goal is to develop a Devanagari character recognition system that can be implemented in the Devanagari script to recognize different characters, as well as some words.

scholarly journals A Simplified Research for Mathematical Expression Recognition and Its Conversion to Speech

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1033-1038
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Recognition Rate ◽  
Mathematical Expression ◽  
Expression Recognition ◽  
Advanced Mathematics ◽  
Data Set ◽  
Visually Impaired People ◽  
Impaired People

The number of visually impaired people appearing for various examination is increasing every year while on the other hand, there are several blind aspirants who are willing to enrich their knowledge through higher studies. Mathematics is one of the key language (subject) for those who are willing to pursue higher studies in science stream. There is a lot of advanced Braille techniques and OCR to speech conversion software's made available to help visual impaired community to pursue their education but still the number of visually impaired students getting admitted to higher education is less. This is not because most of the data is on paper in the form of books and documents. So, there is a great need to convert information from the physical domain into the digital domain which would help the visually impaired people to read the advanced mathematics text independently. Optical Character Recognition (OCR) systems for mathematics have received considerable attention in recent years due to the tremendous need for the digitization of printed documents. Existing literature reveals that, most of the works concentrated on recognizing handwritten mathematical symbols and some works revolve around complex algorithms. This paper proposes a simple, yet efficient approach to develop an OCR system for mathematics and its conversion to speech. For Mathematical symbol recognition, Skin and Bone algorithm is proposed, which proved its efficiency on a variety of data set. The proposed methodology has been tested on 50 equations comprising various symbols such as integral, differential, square, square root and currently achieving recognition rate of 92%.

scholarly journals Raspberry Pi based Object Detection and Text Reader using Voice Assistance

2021 ◽  
Vol 9 (VIII) ◽  
pp. 157-160
Author(s):  
Sushmitha M
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Experimental Result ◽  
Raspberry Pi ◽  
Visually Impaired People ◽  
Impaired People ◽  
Scanned Image ◽  
Recognition Software ◽  
Processor Board

Communication is the basic requirement for humans to connect and it requires text and speech but visually impaired people cannot able to perform this. This project helps them to read the image. This project is an automatic document reader for visually impaired people, developed on the Raspberry Pi processor board. It controls the peripherals like a camera, a speaker which acts as an interface between the system and the user. Here, we use a raspberry pi camera which is used to capture the image and scan the image using Image Magick software. Then the output of the scanned image is given to OCR(optical character recognition) software to convert the image to text. It converts the typed or printed text to the machine code. Then we use Text to Speech (TTS), which is used to convert speech to text. The experimental result is very helpful to blind people as there was much analysis of the different objects.

scholarly journals Prototype to Help Visually Impaired Person in Reading Printed Learning Materials using Raspberry PI

2018 ◽  
Vol 7 (3.1) ◽  
pp. 82
Author(s):  
Jaichandran R ◽  
Somasundaram K ◽  
Bhagyashree Basfore ◽  
Menaka I.S ◽  
Uma S
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Raspberry Pi ◽  
Learning Materials ◽  
Line Spacing ◽  
Impaired Person ◽  
Audio Output ◽  
Visually Impaired Persons

This paper presents a prototype to help visually impaired persons in reading printed learning materials using Raspberry PI. Tesseract an open source optical character recognition technique is used extract texts in printed images and converted to audio output using text-to-speech conversion software. Prototype is experimented using printed text pages with various font sizes and line spacing as test cases. Results show that the prototype is better in converting printed texts to speech. However quality of image, font size, and line space affects performance of prototype in converting printed texts to speech.. 

scholarly journals Voice Based Information Sharing System for Visually Impaired People

2019 ◽  
pp. 296-298
Author(s):  
R. Gomathijayam ◽  
A. Jenifer
Keyword(s):  
Visually Impaired ◽  
Interactive Voice Response ◽  
Communication Technologies ◽  
Normal Person ◽  
Visually Impaired People ◽  
Visually Challenged ◽  
Impaired Person ◽  
The One ◽  
User Friendly ◽  
Previous Training

In today’s world communication has become so easy due to integration of communication technologies with internet. However, the visually challenged people find it very difficult to utilize this technology because of the fact that using them requires visual perception. Even though many new advancements have been implemented to help them use the computers efficiently no naïve user who is visually challenged can use this technology as efficiently as a normal naïve user can do that is unlike normal users they require some practice for using the available technologies. This paper aims at developing an email system that will help even a naïve visually impaired person to use the services for communication without previous training. The system will not let the user make use of keyboard instead will work only on mouse operation and speech conversion to text. Also this system can be used by any normal person also for example the one who is not able to read. The system is completely based on interactive voice response which will make it user friendly and efficient to use.

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