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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 7, JULY 2021

Assistive System for Visionless Earthlings using ML

Prasanna Patil, Rakshith Raj G P, Sameer Khalid, Shirish P Rajan, Sudeep K S

DOI: 10.17148/IJARCCE.2021.10795

Abstract: This is a unique system that functions as a voice assistant for visually impaired persons. This system is used to assist the visually impaired in accessing the phone's most vital capabilities while also improving the system's quality through the use of bespoke layouts and text-to-speech. The object detection system employs tensor flow object detection techniques, in which an android application detects obstacles and guides the end-user via voice alert, providing information such as the distance between the object and the person, as well as the object's direction [left, right, or middle]. All in all, the System is a voice assistant for whatever action the user has taken with a custom app while using data from the default app.

Keywords: Visually challenged, object detection, distance of the object, direction of the object, voice output.

How to Cite:

[1] Prasanna Patil, Rakshith Raj G P, Sameer Khalid, Shirish P Rajan, Sudeep K S, “Assistive System for Visionless Earthlings using ML,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.10795