Open AccessOBJECT DETECTION SYSTEM FOR THE BLIND WITH VOICEGUIDANCE
Author(s) -
Rajeshvaree Ravindra Karmarkar,
Prof.V.N Honmane
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v06i02.013
Subject(s) - computer science , object (grammar) , sight , artificial intelligence , computer vision , object detection , cognitive neuroscience of visual object recognition , deep learning , space (punctuation) , robot , human–computer interaction , pattern recognition (psychology) , physics , operating system , astronomy
—As object recognition technology hasdeveloped recently, various technologies have beenapplied to autonomousvehicles, robots, and industrialfacilities. However, the benefits ofthese technologies arenot reaching the visually impaired, who need it themost. This paper proposed an object detection systemfor the blind using deep learning technologies.Furthermore, a voice guidance technique is used toinform sight impaired persons as to the location ofobjects. The object recognition deep learning modelutilizes the You Only Look Once(YOLO) algorithmand a voice announcement is synthesized using text-tospeech (TTS) to make it easier for the blind to getinformation about objects. Asa result, it implements anefficient object-detection system that helps the blindfind objects in a specific space without help fromothers, and the system is analyzed through experimentsto verify performance.