AI Based Reader For Blinds

Near-sighted participants and illiterate people report several difficulties for understanding printed text or capture text using current technology including problems with alignment focus precision mobility and efficiency. The present project that supports the visually impaired which effectively

Project Title

AI Based Reader For Blinds

Project Area of Specialization

Computer Science

Project Summary

Near-sighted participants and illiterate people report several difficulties for understanding printed text or capture text using current technology including problems with alignment focus precision mobility and efficiency.
The present project that supports the visually impaired which effectively and efficiently rates printed and capture text of specific font this project uses the algorithm that can be used by the people to read text or comment the project is on implementing image on it the design is inspired by earliest studies with visually impaired people and it is moderate and portable which enables a more efficiency in this project we have developed a code to read text using command from for challenge and illiterate proposed full included system has a camera which captures the image for you feat printed text on image reading object counting process defeated image internal work with the software module that is OCR and OpenCV libraries the techniques involved in the segmenting the image and merging consciousness regions based on their attitudinal distribution of color or intensity in order to recognize important creation sorted part of image if specific size contains all the important features we simply crop this image to character recognition image cropping and object counting most of the access technology tools build for the people with blindness and limited vision and electric a watershed algorithm convert image into grayscale the watershed transformation treats the image it operates upon like a topographic map the brightness of each point in its sides height and find the lines at comes along at host or top of which optical character recognition OCR is converter of our image at is captured image of printed text into Unicode.
 

Project Objectives

This project is also useful for visually impaired people who cannot read text document illiterate or have a learning disability optical character recognition OCR is used to identify the text that has been created with
on computerized system makes it possible to reply techniques such as machine translation text to speech and text mining to the capture page the final standard types of payment is served to the output device the
output device can be headset connected to a speaker which can speak how the types document allowed extra hardware is not required for accepting output in our implementation we also set the volume speed
sound and great of sound show external head side and speaker is not necessary.
 

Project Implementation Method

The proposed project uses the methodology of a Camera-Based Assistive device that can be used by blind peoples to read Text document. The framework is on implementing a picture capturing technique during a
software package. A maximum number of blind people use Braille for reading documents and books which are complicated to create and fewer readily available. This offers rise to the necessity for the
advance of devices that might bring relief to the excruciating tasks that the blind people need to go starting to end. Block diagram of proposed smart reader a camera view for the blind person to ensure the good quality of
an image with some fewer distortions. When application start first check all availability and connectivity
of all devices.
When the capture button is clicked, this method captures the document image placed ahead of the camera which is connected to the ARM microcontroller through USB. After selecting the method button the
captured document image undergoes Optical Character Recognition (OCR) Technology. OCR technology allows the conversion of scanned images of printed text or symbols into text or information that will be
understood or edited employing a computer virus. In our system for OCR technology, we are using the TESSERACT library. Using Text-to-speech library the information is converted to audio. Camera acts as
a main vision in detecting the image of the placed document, then the image is processed internally and separates the label from a picture by using open CV-library and identifies the text which is through voice.
Now the converted text into audio output has listened either by connecting headsets via 3.5mm audio jack or by connecting speakers via Bluetooth.
 

Benefits of the Project

As indicated by the review more than 285 million individuals are assessed to be outwardly tested worldwide and visually impaired people around 50 million worlds. The primary location named reserve person who reads is an assistive peruse framework dependent on the operation of a camera for superficially hindered persons for checking the content on the hard-duplicated reports, on paper content, names, and items.
The current innovation has a great deal of difficulties to the externally weakened individuals in getting to the composed content or hard-duplicated content. Additionally, issues like portability arrangement issue
live so I gadget is necessary that survey the poor individuals to peruse the content viably. • Blind peoples no need to use tactile writing system.

• This system understands and processes fast compared to tactile writing system.
• Blind people can easily access our system and read written text.
• System is low cost.

 

Technical Details of Final Deliverable

The Raspberry Pie is a processor board that will control the other peripherals in project, including its camera speaker LCD etc. This will create an interface between the user and the system in the project. It is
just to make it easier for blind people to read a paper, in which blind people can easily read any paper without any human interface. This technology has a lot of challenges to the visually impaired people in
accessing the written text. There is also the problem of alignment and fonts issue occurs as well. So, this technology assists the needy people to read the text effectively and resolves the common issues.
We have successfully implemented conversion of text image into audio format. We also developed technique for object detection in an image and cropping of textual part of image using OPENCV libraries.
Our algorithm successfully processes the image and reads it out clearly with set volume. And also detect the object and crop the text part of image. This is an efficient as well as helpful device for the visually
impaired, illiterate, or has a learning disability people. We have applied our algorithm on many images and found that it successfully does its conversion. Block diagram of Blind reader system. The written text is placed underneath a camera by the individual to check for fine quality of the image. An assistive system provides text localization algorithm with some precision. On startup, the system checks if all devices and their connectivity is correct. The Raspberry Pi develops interface that shows the status of the clicked image. It is an embedded system which has integrated peripheral devices like camera, screen HDMI, power supply.
 

Final Deliverable of the Project

Hardware System

Core Industry

Medical

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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