Abstractn this paper we proposed unique technique which is adaptive to noisy images for eye gaze detection as processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing part of the eye with a normal camera using visible-wavelength images rather than near infrared images has provoked research interest. This technique involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the move. The proposed system is tested and results are generated by extensive simulation in java.
Due to extensive growth of internet, security of the internet is area of interest for the researchers. An efficient biometric trait these days are sclera blood vessels. Sclera is a white region in the eye, around the eyeball which contains blood vessel patterns that can be used for personal identification. In this paper we present the existing sclera segmentation methods and their working in with their limitations and ideas to enhance them.
This paper shows how to overcome from the fire disaster problems. Now a day's fire disaster can occur at any place and anytime with a huge loss of lives, products and materials. As we all know robots are intelligent machines that can be controlled as per need. Robot makes work more easier, save time and save man power. Formerly robots are not much used but now a day's robots are used in many industries for manufacturing, packaging, testing etc. To overcome this loss we can use robot which called as 'Fire Fighting Robot'. With the help of this robot we can save many lives, products and materials. The robot will detect fire and start his work for which it was made. In industries we can use such robots to prevent fire, damage and loss. Instead of human we can use robot so it will become more easier to go closer to the fire. To improve the safety precautions in industries, 'Fire Fighting Robot is essential'.
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