Audible Tool for Color Identification Using Arduino UNO

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Shafia Tabassum Muddasir Hussain Darakhshan M Saleem

Abstract

This hardware tool is designed for assistance and training for visually impaired people to identify the surrounding colored objects. Several researches are conducted all over the world to design advanced, reliable tool and techniques to support sightless individuals. This paper describes designing of a handheld device to assist visually impaired people for color identification via generated speech. Vision is one of the five senses which is essential for a human being to survive independently. All individuals acquire the external information through the visual coding entering into the eye. The light rays penetrate and stimulate vision receptors to execute the processing of image formation. In response, the brain is able to identify the object. Unfortunately, any accidents or visual disorders with age can restrict the ability to sight the external environment. A visually impaired person can identify the texture, shape and size of an object by touching. But the sense of touch does not permit color identification. This proposed wearable tool, aid mainly focuses on individuals who are unable to observe colors due to visual disorder. A hardware device is presented which generates the speech for color detection. In this proposed work RGB sensor is used to capture the color information of the entity. An Arduino UNO card is programmed using Arduino software 1.6.3 to enhance the signal. It generates a clear audible speech for the specific color of the object. The benefit of this device is low power battery operated, portable, safe and easy to handle.

Article Details

How to Cite
TABASSUM, Shafia; HUSSAIN, Muddasir; SALEEM, Darakhshan M. Audible Tool for Color Identification Using Arduino UNO. Sir Syed University Research Journal of Engineering & Technology, [S.l.], v. 7, n. 1, p. 25-28, apr. 2018. ISSN 2415-2048. Available at: <http://journal.ssuet.edu.pk/index.php/ssurjet/article/view/4>. Date accessed: 20 sep. 2018.
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