scholarly journals A Smart Assistance System for Visually Impaired People

2021 ◽  
Vol 10 (12) ◽  
pp. 64-68
Author(s):  
Muppla Jagadeesh ◽  
◽  
Mr.P Ajay Kumar Reddy ◽  
Dr.S.Nanda Kishor ◽  
◽  
...  
Keyword(s):  
Visually Impaired ◽  
Assistance System ◽  
Raspberry Pi ◽  
Visually Impaired People ◽  
Impaired People ◽  
Modification Procedure ◽  
Unit Of Measurement ◽  
The Individual ◽  
Transformation Strategy

Resolving the problems of individuals with Visual, Hearing, and Vocal Impairment through a solitary serving framework could be a tough task. Various current investigations focus on the resolution of the problems of 1 of them on top of challenges however not all. The work centers around chase down a noteworthy procedure that guides the externally weakened by permitting them to listen to what's self-addressed as text and it's accomplished by the tactic that catches the image through a camera and converts the content accessible as voice signals. This planned framework provides a path to people with Hearing weakening to image scan that is in morphology by discourse to message modification procedure and that we, in addition, provides a route to the vocally disabled to handle their voice by the guide of text to voice transformation strategy. each one of those 3 arrangements was regulated to be in an exceedingly solitary exceptional framework. each one of those exercises consists of the employment of Raspberry Pi. The outwardly barred individual's unit of measurement is helped by the cycle whereby the image to text and text to discourse is given by the Tesseract OCR (online character acknowledgment). The deaf individuals assist with the cycle of associate application that creates them grasp what the individual says is also shown attributable to the message. Vocally hindered individuals can pass on their message by text. Therefore totally different individuals will hear the message in an exceeding speaker.

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 Mobility Assistive Device for the Visually Impaired

2020 ◽  
Vol 6 (12) ◽  
pp. 129-133
Author(s):  
Puru Malhotra and Vinay Kumar Saini
Keyword(s):  
Real Time ◽  
Structural Design ◽  
Visually Impaired ◽  
Assistive Device ◽  
Raspberry Pi ◽  
Traditional Use ◽  
Smart Glasses ◽  
Visually Impaired People ◽  
Impaired People ◽  
Walking Stick

he paper is aimed at the design of a mobility assistive device to help the visually impaired. The traditional use of a walking stick proposes its own drawbacks and limitations. Our research is motivated by the inability of the visually impaired people to ambulate and we have made an attempt to restore their independence and reduce the trouble of carrying a stick around. We offer a hands-free wearable glass which finds it utility in real-time navigation. The design of the smart glasses includes the integration of various sensors with raspberry pi. The paper presents a detailed account of the various components and the structural design of the glasses. The novelty of our work lies in providing a complete pipeline for analysis of surroundings in real-time and hence a better solution for navigating during the day to day activities using audio instructions as output.

scholarly journals Smart Shoes For Visually Impaired

2020 ◽  
Author(s):  
Zaiyan Khan ◽  
Rishikesh Varvade ◽  
Jinan Fiaidhi
Keyword(s):  
Visually Impaired ◽  
Human Life ◽  
Detection Capability ◽  
Visually Impaired People ◽  
Processing Power ◽  
Novel Structure ◽  
The World ◽  
Impaired People ◽  
Autonomous Mobility ◽  
The Individual

Sight is viewed as the most significant sense and the visually impaired individuals are seen upon with feel sorry for by others. Innovation encourages the visually impaired individuals to speak with nature, the correspondence procedure and the dispersal of data has gotten quick and on a more extensive scale to incorporate all pieces of the world which incredibly influenced to the human life, subsequently expanding the methods for amusement and comfort and diminished affliction and hardship in numerous things. We have surveyed the existing solutions meant for autonomous mobility for the visually impaired people. In this paper, we have proposed a novel structure, Smart Shoes with sensors installed in them to control an outwardly debilitated individual smoothly and to alarm him/her of the impediments that lay in front of him in his way. The structure is meant to build up a simple to utilise processing power of Arduino in conjunction with the object detection capability of ultrasonic sensor to oblige the extraordinary needs, used to manage the individual coextending the highlights of the Smart Shoes.

scholarly journals Helping Hand for Unsighted People-Acoustic sight

2020 ◽  
Vol 9 (3) ◽  
pp. 533-536
Keyword(s):  
Visually Impaired ◽  
Vital Role ◽  
Raspberry Pi ◽  
System Support ◽  
Normal Person ◽  
Safe Navigation ◽  
Visually Impaired People ◽  
Impaired People ◽  
The Moment

—Technology is best when it brings people together. Today technology plays a vital role in humanity. Also applied science can make the impossible possible. The proposed project aims to show equality in the safe navigation of visually impaired people just like a normal person. The project aims to help the secure guidance of humans with bad eyesight. This system support the sole in attaining the landing place, leading them across the way and alert them about the barrier that are expected in their path through the vibration and generate simulated speech output through headset. Therefore, this technology hold back them from striking the barrier. It add on value to conventional canes with barrier predicting, preventing human from accident and reducing difficulties in navigation. An ultrasonic sensor is execute to determine the distant of obstacles from the person. It is a Raspberry Pi based platform that is used to alert the person of impending obstacles. Also can create the place for all other components and it has functioning code. Here, a vibration motor is used to warn the person from the collision. Combined with the role of guiding, it also has aid preventing plan in case of emergency. The GPS is included to find the location of person and the location is sent to the person’s family through the notification by means of Blynk app. Accordingly, The project convince the visually impaired people can travel alone without getting fear or accidents at the moment.

scholarly journals Real-Time Object Detection using Deep Learning and Open CV

2019 ◽  
Vol 8 (12S) ◽  
pp. 411-414
Keyword(s):  
Neural Network ◽  
Object Detection ◽  
Visually Impaired ◽  
Deep Neural Network ◽  
Raspberry Pi ◽  
Detailed Review ◽  
Real World Application ◽  
Satisfactory Performance ◽  
Visually Impaired People ◽  
Impaired People

The object detection is used in almost every realworld application such as autonomous traversal, visual system, face detection and even more. This paper aims at applying object detection technique to assist visually impaired people. It helps visually impaired people to know about the objects around them to enable them to walk free. A prototype has been implemented on a Raspberry PI 3 using OpenCV libraries, and satisfactory performance is achieved. In this paper, detailed review has been carried out on object detection using region – conventionaal neural network (RCNN) based learning systems for a real-world application. This paper explores the various process of detecting objects using various object detections methods and walks through detection including a deep neural network for SSD implemented using Caffe model.

scholarly journals An Outdoor Navigation Assistance System for Visually Impaired People in Public Transportation

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Salvador Martinez-Cruz ◽  
Luis A. Morales-Hernandez ◽  
Gerardo I. Perez-Soto ◽  
Juan P. Benitez-Rangel ◽  
Karla A. Camarillo-Gomez
Keyword(s):  
Public Transportation ◽  
Visually Impaired ◽  
Assistance System ◽  
Navigation Assistance ◽  
Visually Impaired People ◽  
Impaired People ◽  
Outdoor Navigation
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