scholarly journals An Autonomous System of Pattern and Colour Identification for the Visually Impaired

2021 ◽  
Vol 10 (2) ◽  
pp. 600-603
Keyword(s):  
Real Time ◽  
Entire Range ◽  
Visually Impaired ◽  
Autonomous System ◽  
Clustering Algorithm ◽  
Pattern Detection ◽  
Visual Disability ◽  
Independent System ◽  
Impaired Person ◽  
Sense Of Touch

A visually impaired person can identify the shape of an object by the sense of touch but to recognize the colour and pattern of a textile would require the assistance of a helper. The paper proposes a system which can assist a person with visual disability in real time. The proposed system will be able to detect both the colour as well as pattern of the textile. For pattern detection, Hough line transform is implemented and for colour detection k-means clustering algorithm is implemented. Both used together can detect the colour and pattern, thus making the user independent of assistance of another. The system can detect patterns such as plain, vertical stripes, horizontal stripes, diagonal pattern and checks. Also the system detects the entire range of colours and the colour range is not limited. The main scope is to build an independent system which will be self-sufficient. The system also converts the identified data to audio for assistance to the visually impaired.

scholarly journals Efficient Multi-Object Detection and Smart Navigation Using Artificial Intelligence for Visually Impaired People

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 941
Author(s):  
Rakesh Chandra Joshi ◽  
Saumya Yadav ◽  
Malay Kishore Dutta ◽  
Carlos M. Travieso-Gonzalez
Keyword(s):  
Artificial Intelligence ◽  
Object Detection ◽  
Real Time ◽  
Visually Impaired ◽  
Auditory Information ◽  
Visually Impaired People ◽  
Video Frames ◽  
Average Accuracy ◽  
Impaired People ◽  
Impaired Person

Visually impaired people face numerous difficulties in their daily life, and technological interventions may assist them to meet these challenges. This paper proposes an artificial intelligence-based fully automatic assistive technology to recognize different objects, and auditory inputs are provided to the user in real time, which gives better understanding to the visually impaired person about their surroundings. A deep-learning model is trained with multiple images of objects that are highly relevant to the visually impaired person. Training images are augmented and manually annotated to bring more robustness to the trained model. In addition to computer vision-based techniques for object recognition, a distance-measuring sensor is integrated to make the device more comprehensive by recognizing obstacles while navigating from one place to another. The auditory information that is conveyed to the user after scene segmentation and obstacle identification is optimized to obtain more information in less time for faster processing of video frames. The average accuracy of this proposed method is 95.19% and 99.69% for object detection and recognition, respectively. The time complexity is low, allowing a user to perceive the surrounding scene in real time.

Real-time Bangladeshi Currency Detection System for Visually Impaired Person

2019 ◽  
Author(s):  
Md. Ferdousur Rahman Sarker ◽  
Md. Israfil Mahmud Raju ◽  
Ahmed Al Marouf ◽  
Rubaiya Hafiz ◽  
Syed Akhter Hossain ◽  
...  
Keyword(s):  
Real Time ◽  
Visually Impaired ◽  
Detection System ◽  
Impaired Person

scholarly journals Real Time Object Recognition and Classification using Deep Learning

2019 ◽  
pp. 355-359
Author(s):  
Kiruthiga N ◽  
Divya E ◽  
Haripriya R ◽  
Haripriya V.
Keyword(s):  
Deep Learning ◽  
Object Recognition ◽  
Object Detection ◽  
Real Time ◽  
Visually Impaired ◽  
Detection Algorithm ◽  
Indoor Environments ◽  
Wide Range ◽  
Impaired Person ◽  
First Time

Navigation in indoor environments is highly challenging for visually impaired person, particularly in spaces visited for the first time. Various solutions have been proposed to deal with this challenge. In this project consider as the real time object Recognition and classification using deep learning algorithms. Object detection mainly deals with identification of real time objects such as people, animals, and objects. Object detection algorithm uses a wide range of image processing applications for extracting the object's desired portion. This enables one to identify the objects and calculate the accuracy of the object and deliver through voice. Using this information, the system determines the user's trajectory and can locate possible obstacles in that route.

scholarly journals OBSTACLE DETECTION AND ELECTRONIC NAVIGATION SYSTEM FOR VISUALLY IMPAIRED PERSONS

2014 ◽  
pp. 151-153
Author(s):  
PRATEEK MISHRA ◽  
RAJ KISHOR PAL ◽  
SHIVOM KUSHWAHA ◽  
TUSHAR SRIVASTAVA ◽  
SURESH SHARMA
Keyword(s):  
Real Time ◽  
Navigation System ◽  
Visually Impaired ◽  
Detection System ◽  
Obstacle Detection ◽  
Final Destination ◽  
Visually Impaired People ◽  
The Common ◽  
Impaired Person ◽  
Visually Impaired Persons

In This Paper we present a real time domain obstacle detection system for the visually impaired persons to improve their mobility in daily life with the help of obstacle detection sensor installed in their walking stick .System is having a lower cost so it is easily purchasable so it can have a major significance in life of visually impaired persons. This Paper proposes a system to detect any object attached to the floor regardless to their height [1]. Obstacle on the floor in the front of user can be reliably detected in real time using the proposed system implemented by the IR sensor installed on the walk stick of the visually impaired person. Project also contains a navigation system for visually impaired persons to make the life of such persons easier up to some extent. This project is suited for the area where the possibility of blind person is high (like blind school, college)[6]. For transport facility of blind we have first decided the common bus roots of blind then we have placed RF tag to all those buses with unique code. At the second side we have placed RF reader, microcontroller and voice processor. The RF reader receive unique code, microcontroller process this code with defined code, if match found, voice processor get activated and starts speaking bus name, initial destination and final destination. The obstacle detection is also included in the project with voice. The system aims at increasing the mobility of visually impaired people by offering new sensing abilities.

Touching Blind Bodies: A Critical Inquiry into Pedagogical and Cultural Constructions of Visual Disability in the Nineteenth Century

2018 ◽  
Author(s):  
Heather Tilley ◽  
Jan Eric Olsén
Keyword(s):  
Nineteenth Century ◽  
Visually Impaired ◽  
Blind People ◽  
Embodied Experience ◽  
Visual Disability ◽  
Visually Impaired People ◽  
Educational Challenges ◽  
Impaired People ◽  
The Senses ◽  
Cultural Constructions

Changing ideas on the nature of and relationship between the senses in nineteenth-century Europe constructed blindness as a disability in often complex ways. The loss or absence of sight was disabling in this period, given vision’s celebrated status, and visually impaired people faced particular social and educational challenges as well as cultural stereotyping as poor, pitiable and intellectually impaired. However, the experience of blind people also came to challenge received ideas that the visual was the privileged mode of accessing information about the world, and contributed to an increasingly complex understanding of the tactile sense. In this chapter, we consider how changing theories of the senses helped shape competing narratives of identity for visually impaired people in the nineteenth century, opening up new possibilities for the embodied experience of blind people by impressing their sensory ability, rather than lack thereof. We focus on a theme that held particular social and cultural interest in nineteenth-century accounts of blindness: travel and geography.

Implementation of Navigation System for Visually Impaired Person

2012 ◽  
Vol 2 (8) ◽  
pp. 181-182
Author(s):  
Tanika Gupta ◽  
◽  
Sakshi Jain ◽  
Rajat Bhatia ◽  
Ms. Anuradha Ms. Anuradha
Keyword(s):  
Navigation System ◽  
Visually Impaired ◽  
Impaired Person

SEMINAL BREAKTHROUGH IN TACTILE PICTOGRAM DESIGN FOR VISUALLY IMPAIRED IN TRAIN STATION

2020 ◽  
Vol 13 (2) ◽  
pp. 55-60
Author(s):  
Fariz Fadhlillah
Keyword(s):  
Public Transportation ◽  
Visually Impaired ◽  
Great Opportunity ◽  
Train Station ◽  
Impaired Ability ◽  
Semiotic Approach ◽  
The Media ◽  
Impaired Person ◽  
Pictorial Form ◽  
The Ideal

One of the ideal public transportation facilities for the visually impaired in daily activities is trains. To be used at maximum, there is a need for communicative media to support the independence of orientation and mobility for the visually impaired in the train station. The media plays a role in supporting visually impaired individuals to know where they are, where to go, and how to reach the destination. The previous result regarding visually impaired ability to identify pictorial form which is designed with Primadi Tabrani’s ancient visual language semiotic approach shows a great opportunity for a pictogram to be the solution. However, the challenge is how to make the visually impaired person understand the meaning description that has been designed into tactile pictogram by touch. Basic consideration in designing process is the clarity of visual form when being touched, which is influenced by the way the shape is drawn and the tactile height

Touch Tap See: A Navigation Assistant for the Visually Impaired Person

2019 ◽  
Author(s):  
Deepti Patole ◽  
Sunayana Jadhava ◽  
Khyatee Thakkar ◽  
Saket Gupta ◽  
Shardul Aeer
Keyword(s):  
Visually Impaired ◽  
Impaired Person
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