Object Detection System for Visually Impaired Persons Using Smartphone

2021 ◽  
pp. 1631-1642
Author(s):  
D. Ravi Kumar ◽  
Hiren Kumar Thakkar ◽  
Suresh Merugu ◽  
Vinit Kumar Gunjan ◽  
Suneet K. Gupta
Keyword(s):  
Object Detection ◽  
Visually Impaired ◽  
Detection System ◽  
Visually Impaired Persons

scholarly journals Object Detection System for Blind People

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1675-1676
Keyword(s):  
Object Detection ◽  
Visually Impaired ◽  
Detection System ◽  
Blind People ◽  
Ultrasonic Sensors

The point of this paper is to research the improvement of a route help for visually impaired and outwardly weakened People. It has microcontroller which has wifi inbuilt module. This guide is convenient and offers data to the client to move around in new condition, regardless of whether indoor or open air, through an easy to use interface. Then again, and so as to lessen route challenges of the visually impaired, a deterrent location framework utilizing ultrasounds and vibrators is added to this gadget. The proposed framework identifies the closest hindrance through ultrasonic sensors and it gives an alert to illuminate the visually impaired about its confinement.

scholarly journals SBC Based Object and Text Recognition Wearable System u sing Convolutional Neural Network with Deep Learning Algorithm

2021 ◽  
Vol 10 (3) ◽  
pp. 198-205
Author(s):  
Melchiezhedhieck J. Bongao ◽  
◽  
Arvin F. Almadin ◽  
Christian L. Falla ◽  
Juan Carlo F. Greganda ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Object Detection ◽  
Convolutional Neural Network ◽  
Reading Ability ◽  
Visually Impaired ◽  
City Government ◽  
Text Recognition ◽  
Status Report ◽  
Visually Impaired Persons

This Raspberry Single-Board Computer-Based Object and Text Real-time Recognition Wearable Device using Convolutional Neural Network through TensorFlow Deep Learning, Python and C++ programming languages, and SQLite database application, which detect stationary objects, road signs and Philippine (PHP) money bills, and recognized texts through camera and translate it to audible outputs such as English and Filipino languages. Moreover, the system has a battery notification status using an Arduino microcontroller unit. It also has a switch for object detection mode, text recognition mode, and battery status report mode. This could fulfill the incapability of visually impaired in identifying of objects and the lack of reading ability as well as reducing the assistance that visually impaired needs. Descriptive quantitative research, Waterfall System Development Life Cycle and Evolutionary Prototyping Models were used as the methodologies of this study. Visually impaired persons and the Persons with Disability Affairs Office of the City Government of Biñan, Laguna, Philippines served as the main respondents of the survey conducted. Obtained results stipulated that the object detection, text recognition, and its attributes were accurate and reliable, which gives a significant distinction from the current system to detect objects and recognize printed texts for the visually impaired people.

An Evaluation of RetinaNet on Indoor Object Detection for Blind and Visually Impaired Persons Assistance Navigation

2020 ◽  
Vol 51 (3) ◽  
pp. 2265-2279 ◽  
Author(s):  
Mouna Afif ◽  
Riadh Ayachi ◽  
Yahia Said ◽  
Edwige Pissaloux ◽  
Mohamed Atri
Keyword(s):  
Object Detection ◽  
Visually Impaired ◽  
Blind And Visually Impaired ◽  
Visually Impaired Persons

scholarly journals Currency Detection for Visually Impaired Iraqi Banknote as a Study Case

2021 ◽  
Vol 12 (6) ◽  
pp. 2940-2948
Author(s):  
Raghad Raied Mahmood Et al.
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Visually Impaired ◽  
Detection System ◽  
Detection Algorithm ◽  
Geometric Transformations ◽  
Visually Impaired People ◽  
Paper Currency ◽  
Impaired People ◽  
Detection And Recognition

It is relatively simple for a normal human to interpret and understand every banknote, but one of the major problems for visually impaired people are money recognition, especially for paper currency. Since money plays such an important role in our everyday lives and is required for every business transaction, real-time detection and recognition of banknotes become a necessity for blind or visually impaired people For that purpose, we propose a real-time object detection system to help visually impaired people in their daily business transactions. Dataset Images of the Iraqi banknote category are collected in different conditions initially and then, these images are augmented with different geometric transformations, to make the system strong. These augmented images are then annotated manually using the "LabelImg" program, from which training sets and validation image sets are prepared. We will use YOLOv3 real-time Object Detection algorithm trained on custom Iraqi banknote dataset for detection and recognition of banknotes. Then the label of the banknotes is identified and then converted into audio by using Google Text to Speech (gTTS), which will be the expected output. The performance of the trained model is evaluated on a test dataset and real-time live video. The test results demonstrate that the proposed method can detect and recognize Iraqi paper money with high mAP reaches 97.405% and a short time.

Android Based Object Detection System for Visually Impaired

2020 ◽  
Author(s):  
Ajinkya Badave ◽  
Rathin Jagtap ◽  
Rizina Kaovasia ◽  
Shivani Rahatwad ◽  
Saroja Kulkarni
Keyword(s):  
Object Detection ◽  
Visually Impaired ◽  
Detection System

scholarly journals Unseen - Digital interactions for low vision spatial engagement

2021 ◽  
Author(s):  
◽  
Zachary Cooper
Keyword(s):  
Visually Impaired ◽  
Vision Loss ◽  
Detection System ◽  
Assistive Technologies ◽  
Design Strategies ◽  
Design Work ◽  
Spatial Understanding ◽  
Human Scale ◽  
Wide Range ◽  
Visually Impaired Persons

<p>Visually impaired persons possess a specific set of functional and sensory requirements for their successful existence in architectural environments. Unfortunately, a majority of our existing built infrastructure is ill-equipped to address these requirements. Both existing forms of solution for this issues, technological and architectural, are incapable of compensating for the inadequately considered design of public spaces and are subject to widespread general criticisms from the vision loss and architectural community (Human Rights Commission, 2012; Pawluk et al., 2015).   This thesis recruits the native capabilities of emerging consumer-level digital technologies in order to explore new solutions to this complex problem. This research saw the proposition tested through the development of a digital platform which blended the design strategies of universal design and assistive technologies with a wide range of theoretical perspectives drawn from medical, psychological, sociological, and geolocational literature. The resulting integration generated unique forms of architectural engagement which improve the spatial comprehension abilities of the visually impaired.  The early design outcomes focus on two distinct modes of engagement with a virtual, augmented environment. The first is direct bodily interaction, in which the human-scale perception of the user is bolstered through an object-detection system, which provides users with sensory cues to identify objects in their direct vicinity. The second was the development of various methods for distance-based spatial engagements. Engagement with an environment from a distance significantly expands the scale of potential spatial understanding. These methods allow users to explore spaces in a myriad of different ways, with each mechanic providing different environmental information through diverse sensory outputs. The later design work reflects on these creations and through a process of redevelopment and evaluation draws larger observations regarding the development of the tools and what they offer in terms of spatial understanding. Final conclusions from the thesis provide a framework for research which would allow for the digital adaptation of our currently unsuitable infrastructure.</p>

scholarly journals OBJECT DETECTION SYSTEM FOR THE BLIND WITH VOICEGUIDANCE

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Rajeshvaree Ravindra Karmarkar ◽  
Prof.V.N Honmane
Keyword(s):  
Deep Learning ◽  
Object Recognition ◽  
Object Detection ◽  
Visually Impaired ◽  
Detection System ◽  
Learning Model ◽  
Learning Technologies ◽  
Industrial Facilities ◽  
Guidance Technique ◽  
Deep Learning Model

—As object recognition technology has developed recently, various technologies have been applied to autonomousvehicles, robots, and industrial facilities. However, the benefits ofthese technologies are not reaching the visually impaired, who need it the most. This paper proposed an object detection system for the blind using deep learning technologies. Furthermore, a voice guidance technique is used to inform sight impaired persons as to the location of objects. The object recognition deep learning model utilizes the You Only Look Once(YOLO) algorithm and a voice announcement is synthesized using text-tospeech (TTS) to make it easier for the blind to get information about objects. Asa result, it implements an efficient object-detection system that helps the blind find objects in a specific space without help from others, and the system is analyzed through experiments to verify performance.

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.

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