AUTOMATED OBJECT RECOGNIZATION FOR THE VISUALLY IMPAIRED PEOPLE
Abstract & Details
Research Area
Computer Engineering
Keywords
Image processing
eye glass
database
datasets
visually challenged
audio stream
Abstract
Visually challenged are majorly dependent on the Braille language for comprehensive reading of textual documents and their walking sticks they hold everyday for their obstruction identification. Making them virtually visible in an environment and get them workable in a technical organisation this system innovates the technology which provides audio descriptions of their blind surroundings. The design involves human face, object and textual recognition which make vision for visually challenged. The smart kit contains an eye glass provided with camera, an ear phone, a microphone and the system where the processing is carried out. The camera present at the nose head of eye glass captures the intended image of the user as snapshots and transfer to the system where it gets processed and produces the specified audio descriptions as output. The system's database holds a corresponding text for each image which is then converted to audio stream when sounded. In case of any mismatch or no entry of the image in the datasets then the new image is stored as new dataset with the name specified through microphone. This avoids mismatch of that image in the future search.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Kousalya R | Panimalar Engineering College |
| 2 | Keerthana N | Panimalar Engineering College |
| 3 | keertthana B | Panimalar Engineering College |
| 4 | MRS.KAVITHA | Panimalar Engineering College |
| 5 | SUBRAMANI | Panimalar Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
R, Kousalya, N, Keerthana, B, keertthana, MRS.KAVITHA, & SUBRAMANI (2019). AUTOMATED OBJECT RECOGNIZATION FOR THE VISUALLY IMPAIRED PEOPLE. International Journal of Advance Research and Innovative Ideas In Education, 5(2), 1435-1441.
MLA Style
R, Kousalya, et al. "AUTOMATED OBJECT RECOGNIZATION FOR THE VISUALLY IMPAIRED PEOPLE." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, 2019, pp. 1435-1441.
IEEE Style
Kousalya R, Keerthana N, keertthana B, MRS.KAVITHA, and SUBRAMANI, "AUTOMATED OBJECT RECOGNIZATION FOR THE VISUALLY IMPAIRED PEOPLE," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, pp. 1435-1441, 2019.
Vancouver Style
R Kousalya, N Keerthana, B keertthana, MRS.KAVITHA, SUBRAMANI. AUTOMATED OBJECT RECOGNIZATION FOR THE VISUALLY IMPAIRED PEOPLE. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(2):1435-1441.
Harvard Style
R, Kousalya, N, Keerthana, B, keertthana, MRS.KAVITHA, & SUBRAMANI (2019) 'AUTOMATED OBJECT RECOGNIZATION FOR THE VISUALLY IMPAIRED PEOPLE', International Journal of Advance Research and Innovative Ideas In Education, 5(2), pp. 1435-1441.
Chicago Style
R, Kousalya, et al. "AUTOMATED OBJECT RECOGNIZATION FOR THE VISUALLY IMPAIRED PEOPLE." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 1435-1441.
Turabian Style
R, Kousalya, et al. "AUTOMATED OBJECT RECOGNIZATION FOR THE VISUALLY IMPAIRED PEOPLE." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 1435-1441.
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