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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM18614
Volume:
7 |
4 |
Apr 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In view of the recent flow of work in intelligent robotics, to our knowledge, the results from this research field have scarcely been applied to mitigate sensorial, motor and cognitive damage for humans. We believe that such research, in particular technique of learning from demonstration in imitation learning, is well suited to addressing the problem during road crossing. We present our solution to road crossing challenge for blind individuals. We present the methodology followed in preparing the model and the quantitative assessment of the model. Here first the image is captured through cam which is fixed to forehead and the it sends a model and that transforms into sentence or caption. Here we use API (Google text to voice) its words into voice this voice goes to ear of blind person as an instruction by that blind person can identify easily the things when crossing road
KEYWORDS
Publication Date
4/3/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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