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International Journal of Electrical and Electronic Science

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Intelligent Vision Based Driver Assisted System for Trains – Elephants Accidents

International Journal of Electrical and Electronic Science
Vol.2 , No. 2, Publication Date: Aug. 5, 2015, Page: 6-16

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Authors

[1]	A. K. Kulatunga, Department of Production Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka.
[2]	J. Gowrynathan, Department of Production Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka.
[3]	R. Ekanayake, Department of Production Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka.
[4]	D. Athauda, Department of Production Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka.
[5]	C. Chandrakumar, Department of Production Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka.

Abstract

Elephant - train accidents significantly affect to increase mortality of elephants in Asian countries like Sri Lanka & India. In the year 2011, 10 elephants were by train accidents. In India Wild life organizations are doing researches and have found some preventive actions for this problem. By analyzing movement zones, crucial seasons, crucial paths, and crucial time periods & by training people emergency actions have been decided. Though there are preventive actions from outside of the locomotive cabs there are no any preventive actions from inside the locomotive cabs. But in Sri Lanka the awareness of this problem is not in considerable level. Though there are researches to prevent elephant train accidents by different ways until now there is no any research for improve vision based driving assisting system. In this research fleet of locomotives driver cabs were evaluated base on ergonomic guidelines and intelligent vision system is developed to overcome lack of visibility which is the main course for elephant accidents. The real-time long range images are captured and can be even process real-time to indicate drivers if it detect live elements on the tracks.

Keywords

Ergonomics, Computer Vision, Infrared Camera, Locomotive, Train-Elephant Accident

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