Planned intervention: On Wednesday April 3rd 05:30 UTC Zenodo will be unavailable for up to 2-10 minutes to perform a storage cluster upgrade.
Published October 30, 2020 | Version v1
Journal article Open

A Smart Assistance System for Visually Impaired People

  • 1. M.Tech (Embedded systems), Kuppam Engineering College, Kuppam (Andhra Pradesh), India.
  • 2. Associate Professor, Department of Electrical and Computer Engineers, Kuppam Engineering College, Kuppam (Andhra Pradesh), India
  • 1. Publisher

Description

Resolving the problems of individuals with Visual, Hearing, and Vocal Impairment through a solitary serving framework could be a tough task. Various current investigations focus on the resolution of the problems of 1 of them on top of challenges however not all. The work centers around chase down a noteworthy procedure that guides the externally weakened by permitting them to listen to what's self-addressed as text and it's accomplished by the tactic that catches the image through a camera and converts the content accessible as voice signals. This planned framework provides a path to people with Hearing weakening to image scan that is in morphology by discourse to message modification procedure and that we, in addition, provides a route to the vocally disabled to handle their voice by the guide of text to voice transformation strategy. each one of those 3 arrangements was regulated to be in an exceedingly solitary exceptional framework. each one of those exercises consists of the employment of Raspberry Pi. The outwardly barred individual's unit of measurement is helped by the cycle whereby the image to text and text to discourse is given by the Tesseract OCR (online character acknowledgment). The deaf individuals assist with the cycle of associate application that creates them grasp what the individual says is also shown attributable to the message. Vocally hindered individuals can pass on their message by text. Therefore totally different individuals will hear the message in an exceeding speaker.

Files

K946309101121.pdf

Files (381.2 kB)

Name Size Download all
md5:72d73a93e75aee3cca6d1aa3ec478c0a
381.2 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 2278-3075 (ISSN)

Subjects

ISSN
2249-8958
Retrieval Number
100.1/ijitee.K946309101121