Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/508172
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dc.coverage.spatial
dc.date.accessioned2023-08-22T11:06:11Z-
dc.date.available2023-08-22T11:06:11Z-
dc.identifier.urihttp://hdl.handle.net/10603/508172-
dc.description.abstractThe sense of vision is crucial for humans to comprehend and navigate the world around them. However, approximately 2.2 billion people, as reported by the World Health Organization (WHO), experience some form of vision impairment, making tasks like independent navigation, object recognition, and orientation in unfamiliar environments challenging. The prevalence of blindness is on the rise due to the aging population. To address these challenges, assistive aids are vital in facilitating the independent living of visually impaired individuals. newlineThis proposed research aims to overcome various problems faced by the visually impaired by introducing two innovative solutions: NavCane and PocketMed. NavCane assists visually impaired individuals in navigating both indoor and outdoor environments, identifying obstacles, staircases, and wet floors. PocketMed, on the other hand, focuses on managing medication regimes for visually impaired people. This includes providing information about the medication name, recommended consumption schedule, dosage, expiration date, and duration of use. Furthermore, the SmartMedBox is designed to help visually impaired individuals locate their medicine boxes through sound alerts, facilitating quick identification in enclosed spaces. To support banknote classification research, a comprehensive dataset containing both clean and spoilt banknotes has been created and published on IEEEdataport and Mendley Data, which can serve as a valuable resource for other researchers in this field
dc.format.extentp. 200
dc.languageEnglish
dc.relation162
dc.rightsuniversity
dc.titleDesign and implementation of assistive aids for visually impaired people
dc.title.alternative
dc.creator.researcherMeshram, Vidula Vishal
dc.subject.keywordAssistive Aids
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordInternet of things
dc.subject.keywordVisually Impaired People
dc.description.notebibliography p. from 163 to 182
dc.contributor.guidePatil, Kailas
dc.publisher.placePune
dc.publisher.universityVishwakarma University
dc.publisher.institutionComputer Engineering
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Engineering

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01_title page.pdfAttached File75.7 kBAdobe PDFView/Open
02_prelim pages.pdf1.25 MBAdobe PDFView/Open
03_content.pdf462.78 kBAdobe PDFView/Open
04_abstract.pdf241.97 kBAdobe PDFView/Open
05_chapter 1.pdf698.48 kBAdobe PDFView/Open
06_chapter 2.pdf496.17 kBAdobe PDFView/Open
07_chapter 3.pdf1.17 MBAdobe PDFView/Open
08_chapter 4.pdf636.85 kBAdobe PDFView/Open
09_chapter 5.pdf467.86 kBAdobe PDFView/Open
10_annexture.pdf807.59 kBAdobe PDFView/Open
10_chapter 6.pdf675.71 kBAdobe PDFView/Open
11_chapter 7.pdf1.44 MBAdobe PDFView/Open
80_recommendation.pdf268.51 kBAdobe PDFView/Open


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