A Smart Assistance System for Visually Impaired People
Muppla Jagadeesh1, P Ajay Kumar Reddy2, S. Nanda Kishor3
1Muppla Jagadeesh*, M.Tech (Embedded Systems), Kuppam Engineering College, Kuppam (A.P), India.
2Mr. P Ajay Kumar Reddy, Associate Professor, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam (A.P), India.
3Dr. S.Nanda Kishor, Associate Professor, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam (A.P), India.
Manuscript received on August 27, 2021. | Revised Manuscript received on October 25, 2021. | Manuscript published on October 30, 2021. | PP: 64-68 | Volume-10 Issue-12, October 2021. | Retrieval Number: 100.1/ijitee.K946309101121 | DOI: 10.35940/ijitee.K9463.10101221
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Raspberry Pi, Webcam, Optical Character Recognition, Text to Speech Engine, amplifier.
Scope of the Article: Visual Analytics