scholarly journals Visual, navigation and communication aid for visually impaired person

2021 ◽  
Vol 11 (2) ◽  
pp. 1276
Author(s):  
Sagor Saha ◽  
Farhan Hossain Shakal ◽  
Mufrath Mahmood
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Visual Navigation ◽  
Raspberry Pi ◽  
Deaf Person ◽  
Communication Aid ◽  
Daily Task ◽  
The Face ◽  
Impaired Person

The loss of vision restrained the visually impaired people from performing their daily task. This issue has impeded their free-movement and turned them into dependent a person. People in this sector did not face technologies revamping their situations. With the advent of computer vision, artificial intelligence, the situation improved to a great extent. The propounded design is an implementation of a wearable device which is capable of performing a lot of features. It is employed to provide visual instinct by recognizing objects, identifying the face of choices. The device runs a pre-trained model to classify common objects from household items to automobiles items. Optical character recognition and Google translate were executed to read any text from image and convert speech of the user to text respectively. Besides, the user can search for an interesting topic by the command in the form of speech. Additionally, ultrasonic sensors were kept fixed at three positions to sense the obstacle during navigation. The display attached help in communication with deaf person and GPS and GSM module aid in tracing the user. All these features run by voice commands which are passed through the microphone of any earphone. The visual input is received through the camera and the computation task is processed in the raspberry pi board. However, the device seemed to be effective during the test and validation.

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 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 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 Impediments Perception Assistant for Efficacious Assistive Locomotion for Purblind Personage

2021 ◽  
Vol 9 (VI) ◽  
pp. 59-65
Author(s):  
Ishani Rede
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Vibration Signals ◽  
Navigation Strategy ◽  
Energy Consuming ◽  
To Come ◽  
Impaired Person ◽  
Blind Individuals ◽  
To Receive

Visually impaired or partially blind people measure usually counts on exterior aid which could be delivered by humans, educated dogs, or completely different electronic appliances as backing techniques for the bigger psychological feature techniques. The most downside with blind individuals is that they navigate their path to where they need to travel. They usually need assistance from others. This project is determined to support the blind person to beat the deficit of visual ability, by victimization different senses like sound and bit. This project is determined to support the visually impaired person to whip the absence of visual-sense modality, by using distinct connotations like touch and sound (Voice). The detector module is aspired to utilize the precept of ultrasonic ripples to see the change in incoming/outgoing object. The structure also comprises a buzzer to receive an alarm tone (prebuild vocal instructions) and a motor to come up with vibration signals. The network uses ultrasonic ripple signals to acquaint the visually impaired person about incoming/outgoing hurdles. As the expanse between the band and hurdle decreases, the force of vibration signals increases. Thus, the structure formulates the navigation strategy for the needy easy. This architecture bids an inexpensive, credible, mobile, low energy consuming, and athletic solution for navigation with noticeable quick interruptions. The architecture also has another module in which it revamps images into a speech layout. This module will assist visually undermined people in browsing various images as they will be able to read them by hearing them. The Optical Character Recognition [OCR] is expended to do these tasks.

scholarly journals Visual Assistant for Blind People using Raspberry Pi

2021 ◽  
pp. 671-675
Author(s):  
Tejal Adep ◽  
Rutuja Nikam ◽  
Sayali Wanewe ◽  
Dr. Ketaki B. Naik
Keyword(s):  
Visually Impaired ◽  
Daily Life ◽  
Artificial Vision ◽  
Raspberry Pi ◽  
Blind People ◽  
Python Language ◽  
Visually Impaired People ◽  
Impaired People ◽  
Visual Aid ◽  
Impaired Person

Blind people face the problem in daily life. They can't even walk without any aid. Many times they rely on others for help. Several technologies for the assistance of visually impaired people have been developed. Among the various technologies being utilized to assist the blind, Computer Vision-based solutions are emerging as one of the most promising options due to their affordability and accessibility. This paper proposes a system for visually impaired people. The proposed system aims to create a wearable visual aid for visually impaired people in which speech commands are accepted by the user. Its functionality addresses the identification of objects and signboards. This will help the visually impaired person to manage day-to-day activities and navigate through his/her surroundings. Raspberry Pi is used to implement artificial vision using python language on the Open CV platform.

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 Design and Implementation of Facial Recognition System for Visually Impaired using Image Processing

2019 ◽  
Vol 8 (4) ◽  
pp. 4803-4807
Keyword(s):  
Image Processing ◽  
Face Recognition ◽  
Face Detection ◽  
Visually Impaired ◽  
Recognition System ◽  
Raspberry Pi ◽  
Design And Implementation ◽  
The Face ◽  
Visually Impaired Students ◽  
Facial Recognition System

One of the most difficult tasks faced by the visually impaired students is identification of people. The rise in the field of image processing and the development of algorithms such as the face detection algorithm, face recognition algorithm gives motivation to develop devices that can assist the visually impaired. In this research, we represent the design and implementation of a facial recognition system for the visually impaired by using image processing. The device developed consists of a programmed raspberry pi hardware. The data is fed into the device in the form of images. The images are preprocessed and then the input image captured is processed inside the raspberry pi module using KNN algorithm, The face is recognized and the name is fed into text to speech conversion module. The visually impaired student will easily recognize the person before him using the device. Experiment results show high face detection accuracy and promising face recognition accuracy in suitable conditions. The device is built in such a way to improve cognition, interaction and communication of visually impaired students in schools and colleges. This system eliminates the need of a bulk computer since it employs a handy device with high processing power and reduced costs.

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