Real-Time Family Member Recognition Using Raspberry Pi for Visually Impaired People

Disabled People deal with a series of barriers that limit their inclusion, empowerment, wellbeing, and role in society with a special emphasis in low and medium-income countries. One of these barriers is concerning the accessibility and affordability of assistive technologies (ATs) that help to enhance the quality of life of these persons. In this context, this systematic literature review (SLR) analyzes and describes how free and open-source hardware (OSHW) and open software (OSS) are employed in the design, development, and deployment of low-cost ATs. In the SLR process, different ATs were analyzed for disabilities such as visual, mobility, upper body, prostheses, hearing & speaking, daily living, and participation in society. The ATs were designed with diverse OSHW and OSS technologies such as Arduino, Raspberry Pi, NVidia Jeston, OpenCV, YOLO, MobileNet, EEG and EMG signal conditioning devices, actuators, and sensors such as ultrasonic, LiDar, or flex. 809 studies were collected and analyzed from the database Web of Science, GitHub, and the specialized journals in OSHW HardwareX and the Journal of Open Hardware during the years 2013-2022. In the first part of the SLR, the bibliometric trends and topic clusters regarding the selected studies are described. Secondly, the ATs identified with open source technologies, e.g., sensor-based or computer vision-based, are described along with a complete state-ofart about these based on each disability recognized. Finally, the issues and challenges to this approach are explored including technical factors, documentation, government policies, and the inclusion of disabled people in open source co-creation. The purpose of this study is to inform practitioners, designers, or stakeholders about low-cost (frugal) ATs with OSHW and OSS, and thus promote their development, accessibility, and affordability, contributing to benefit the community of disabled people. INDEX TERMS Assistive technologies, disabled people, persons with disabilities, adaptive aids, open hardware, open-source hardware, open-source software, systematic literature review.

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“…[93], [94], [107], [121], [150]- [161] [52], [53], [56], [61], [65], [72] 2. Braille interfaces and devices - [145], [162]-[165] -…”

Section: Type Of Assistive Technology (At)mentioning

confidence: 99%

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Ariza

Pearce

2022

IEEE Access

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“…Raspberry Pi enabled blind man guidance using audio process is developed. A smart glass like structure is implemented to recognize the family members images trained and stored in the database [10].…”

Section: T Islam Et Al (2020)mentioning

confidence: 99%

Contactless COVID-19 vaccine verification system

Suruthi¹,

Shivaani²,

Swetha³

2022

ijhs

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The novel Corona virus has created maximum impact to the society with growing challenges as a result of its new evaluation. The development of new strategic plans or initiated to safeguard the people from global pandemic were wearing Mask in public places sanitization or employed to have maximum protection. Various modifications or derived in public places to avoid contact with each other physically. The proposed studies focus on the driving a Roberts to model for contact us communication is established. The proposed approach utilised Embedded Technology enabled vaccinated people verification is done. Proposed design is identified as an advance people identification system using advance to computing techniques with Raspberry Pi 4. The benefit of reconfigurable embedded technology offers low cost and reliable hardware used to make customized consumer products. The proposed system can be placed in public places to validate the people entry. Automated systems are highly reliable in long term accessibility. The system can be installed anywhere easily using a small camera object and display insertion

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“…Thepre trained object detection model is ssd_mobilenet_v1_coco [15].One study, propose a deep learning framework for image detection, classification and person-currency recognition. Transfer learning is performed on the SSD-VGG16 model to predict outputs [16]. A smart glass system to recognize the family member using image processing is developed .…”

Section: Related Workmentioning

confidence: 99%

A Smart Vision Based System for Assisting Visually Impaired People

P¹,

MK²

2022

IJETMS

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Eyes are most important sensory organ of a human body. A person is visually impaired if he cannot see objects as clearly as usual. So its difficult for a visually impaired one to live as normal people can do. They always required some assistive devices or assistants to guide them. To address the concerns, the suggested system will perform multiple tasks as quickly as feasible and accurately without requiring any specific talents.The proposed system bring together the deep learning and cloud APIs for smooth functioning of multiple tasks like face recognition, currency recognition, object labeling, text recognition, online news paper reading, current location ,weather and and date and time accessing.The user interact with the system by providing specific voice command like “who is infront of me” and system trigger corresponding module and return voice output. Face recognition is carried based ondlib’s face recognition. Image labeling and text recognition by Google cloud vision API, currency recognition for Indian currency notes is proposed to do on deep transfer learning model Resnet 101 ,online news paper reading is with the help of Google News API, Weather access is by Open Weather MAp API , location can be accessed with the help of IP address and datetime module of python provide current date and time.

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Real-Time Family Member Recognition Using Raspberry Pi for Visually Impaired People

Cited by 17 publications

References 6 publications

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Contactless COVID-19 vaccine verification system

A Smart Vision Based System for Assisting Visually Impaired People

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