Practical-Road Following-Based Smart System for Blind Individuals
T. Karthikeyan1, G. Jaya Sree2, M. Rajesh3, K. Bangaru Babu4, E. Prudhvi5
1Dr. T. Karthikeyan, Associate Professor, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
2G. Jaya Sree, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India
3M. Rajesh, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
4K. Bangaru Babu, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India
5E. Prudhvi, Department of Engineering and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India
Manuscript received on 01 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 3502-3505 | Volume-8 Issue-1, May 2019 | Retrieval Number: F23840376192 /19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: To enable the visually impaired individuals to stroll to the goal effectively and securely in indoor condition. Kinect sensor and Arduino are the principle equipment parts. Here we are utilizing the Arduino Boards as controllers for our model. The KINECT innovation has been connected to genuine applications as virtual shopping, training. Engineers for the Kinect assembled an extraordinary measure of information with respect to movement catch of real moving things, in actuality, situations. The camera recognizes the red, green, and blue shading segments just as body-type and facial highlights. This aides in facial acknowledgment and body acknowledgment. The sensors implanted are of ease, little volume, and simple incorporation. This is only a model yet, in actuality, these can be exceptionally helpful to the outwardly disabled individuals.
Index Terms: Kinect Sensor, Arduino, Facial Features
Scope of the Article: Network Performance; Protocols; Sensors