Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i16/92227
Year: 2016, Volume: 9, Issue: 16, Pages: 1-5
Original Article
D. Dhayalan* , M. Yuvarani, A. Nishanthi, M. Sathiya and T. Ranjani
Department of MCA, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, India; [email protected], [email protected], nishajoth[email protected], [email protected], [email protected]
*Author of Corresponding: D. Dhayalan Department of MCA, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, India; [email protected]
Objective: In this paper, we deliver a concept based on image and video processing designs on behalf of eyesight else vision find out. Methods: The inducement of the study is for disabled people, without their hands. The vision checkup method is by using the mobile phone interaction. It utilizes the detected face location and vision detection is based on mobile phones for controlling eyelids state (close or open). Findings: This vision checkup method is used to show the improvement of accuracy of detection. In this mobile application, the light effect and the spaces among the disabled person eyes is tracking. The correctness of vision detection will be given by the usage of mobile devices. In existing, phone-based vision test for patients who wants to track their eyesight in their place itself, this type of gadgets could help to track people who are having defects in their eye before they lost more vision, and take the treatment in proposed this same tool could help the disabled persons also by using image processing of vision detection in eyelids state (close or open) detection. Improvements: The drawbacks are reduced in this proposed system. Finally, it provides the 99% of result for the complete detection of accurateness.
Keywords: Detection Accuracy, Eye Blink, Eye Checkup, Mobile Interaction, Vision Detection
Subscribe now for latest articles and news.