Wearable object detection system for the blind

Dionisi, Alessandro; Sardini, Emilio; Serpelloni, Mauro

doi:10.1109/i2mtc.2012.6229180

Cited by 37 publications

(9 citation statements)

References 3 publications

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“…This application uses the RSSI (Received Strength Signal Indicator) value, measuring the power of the received signal of the tag. [3] 3) Smart Obstacle Detector for Blind Person: Another system proposed in this paper focuses on giving information about what are the different types of obstacles in front of the user, their size, and their distance from the user. MATLAB Software is used for signal processing.…”

Section: International Journal Of Engineering Research and Technology (mentioning

confidence: 99%

Assistive Object Recognition System for Visually Impaired

Shaikh¹,

Karale²,

Tawde³

2020

IJERT

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The issue of visual impairment or blindness is faced worldwide. According to statistics of the World Health Organization (WHO), globally, at least 2.2 billion people have a vision impairment or blindness, of whom at least 1 billion are blind. In terms of regional differences, the prevalence of vision impairment in low-and middle-income regions is four times higher than in high-income regions.[6] Blind people generally have to rely on white canes, guide dogs, screen-reading software, magnifiers, and glasses to assist them for mobility, however, To help the blind people the visual world has to be transformed into the audio world with the potential to inform them about objects as well as their spatial locations. Therefore, we propose to aid the visually impaired by introducing a system that is most feasible, compact, and costeffective. So, we implied a system that makes use of Raspberry Pi in which you only look once (YOLO v3) machine learning algorithm trained on the coco database is applied. The experimental result shows YOLO v3 achieves state-of-the-art results of 85% to 95% on overall performance, 100% (person, chair, clock, and cell-phone) recognition accuracy. This system not only provides mobility to the visually impaired with that it provides the term that ahead is an XYZ object rather than a sense of obstacle.

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Section: International Journal Of Engineering Research and Technology (mentioning

confidence: 99%

Assistive Object Recognition System for Visually Impaired

Shaikh¹,

Karale²,

Tawde³

2020

IJERT

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“…Hence these people require an assistance by which they can visualize the outside world and live a normal life. Various research papers like "Wearable object detection system for the blind" by Alessandro Dionisi, Emilio Sardini, Mauro Serpelloni [11] and "A mobility aid for the blind with discrete distance indicator and hanging object detection" [2] explained the need to design a system which will provide an assistance to the visually impaired people to navigate freely from the source to destination with no or minimal help. Blind people are always dependent on others to cross road or to reach a particular address.…”

Section: Literature Surveymentioning

confidence: 99%

Electronic Orientation Aid for Visually Impaired using Graphics Processing Unit (GPU)

et al. 2020

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Vision is one of the very essential human senses and it plays a major role in human perception about surrounding environment. But for people with visual impairment their definition of vision is different. Visually impaired people are often unaware of dangers in front of them, even in familiar environment. This study proposes a real time guiding system for visually impaired people for solving their navigation problem and to travel without any difficulty. This system will help the visually impaired people by detecting the objects and giving necessary information about that object. This information may include what the object is, its location, its precision, distance from the visually impaired etc. All these information will be conveyed to the person through audio commands so that they can navigate freely anywhere anytime with no or minimal assistance. Object detection is done using You Only Look Once (YOLO) algorithm. As the process of capturing the video/images and sending it to the main module has to be carried at greater speed, Graphics Processing Unit (GPU) is used. This will help in enhancing the overall speed of the system and will help the visually Impaired to get the maximum necessary instructions as quickly as possible. The process starts from capturing the real time video, sending it for analysis and processing and get the calculated results. The results obtained from analysis are conveyed to user by means of hearing aid. As a result by this system the blind or the visually impaired people can visualize the surrounding environment and travel freely from source to destination on their own.

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“…A USB hub board ( Figure 2) was attached to the Raspberry Pi so that the WIFI dongle could be attached to the top of the RPi0, rather than protruding from a side (where it is easily brokened or damaged). The prototype uses the ultrasonic sensor for object recognition, while the existing systems in this field commonly use the fixed cameras (Wang et al, 2017, Yi et al, 2013 or radio frequency (Dionisi et al, 2012).The ultrasonic sensor was successfully assembled on the RPi0 by using the breadboard and jumper cable through an expanded GPIO board (BreakHAT). A switch and a vibrator were placed on the board and the circuitary test was performed.. A way is currently being sought to add the servomotor or vibrator or LCD screen to the glove.…”

Section: What It Does?mentioning

confidence: 99%

Prototype Ultrasonic Wayfinder With Haptic Feedback for an Iot Environment

Yeom¹,

Ryu²,

Pak³

et al. 2019

Proceedings of the International Conferences Interfaces and Human Computer Interaction 2019 Game and Entertainment Technologies

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Sensor technology for small mobile devices is developing quickly, prices for equipment are dropping rapidly and IoT infrastructure is increasingly accessible. These developments have made it possible to build a haptic glove with a vibrating interface to help a person with visual impairment to move around. This haptic sensing glove will guide the user as an additional deviceon top of what they use for guidance at present. This article describes a prototype which is undergoing user testing and can be further tied into a smart home environment.

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Wearable object detection system for the blind

Cited by 37 publications

References 3 publications

Assistive Object Recognition System for Visually Impaired

Assistive Object Recognition System for Visually Impaired

Electronic Orientation Aid for Visually Impaired using Graphics Processing Unit (GPU)

Prototype Ultrasonic Wayfinder With Haptic Feedback for an Iot Environment

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