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Person Identification for Visually Impaired using LabVIEW


Affiliations
1 Department of Biomedical Engineering, Bharath University, Chennai - 600073, Tamil Nadu, India
 

Visually impaired find difficult to identify colors and person, the main objective of this project is to make them overcome these. An external camera is fitted with goggles for acquiring images. The acquired image is processed to obtain the required features such as colors in the case of audio colors or facial features in the case of personal identification. The obtained feature is encoded using MATLAB, then fed into LabVIEW through which speakers are connected to get the respective audio signals. The color presented to the camera is converted to corresponding sound. This will also be useful for the visually impaired to identify their friends and foes using face identification software which is implemented in here. This project is meant to describe light, by its frequency and intensity, in terms of an audible signal. However, the domain of the system here is limited only to primary and secondary colors. The complete software solution is implemented using LabVIEW and MATLAB.

Keywords

Audio Colors, LabVIEW, Person Recognition, MATLAB
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  • Person Identification for Visually Impaired using LabVIEW

Abstract Views: 151  |  PDF Views: 0

Authors

Krithika Mohan Raj
Department of Biomedical Engineering, Bharath University, Chennai - 600073, Tamil Nadu, India
M. Sundar Raj
Department of Biomedical Engineering, Bharath University, Chennai - 600073, Tamil Nadu, India

Abstract


Visually impaired find difficult to identify colors and person, the main objective of this project is to make them overcome these. An external camera is fitted with goggles for acquiring images. The acquired image is processed to obtain the required features such as colors in the case of audio colors or facial features in the case of personal identification. The obtained feature is encoded using MATLAB, then fed into LabVIEW through which speakers are connected to get the respective audio signals. The color presented to the camera is converted to corresponding sound. This will also be useful for the visually impaired to identify their friends and foes using face identification software which is implemented in here. This project is meant to describe light, by its frequency and intensity, in terms of an audible signal. However, the domain of the system here is limited only to primary and secondary colors. The complete software solution is implemented using LabVIEW and MATLAB.

Keywords


Audio Colors, LabVIEW, Person Recognition, MATLAB



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i31%2F135484