Design Interactive software to improve eyesight using image processing algorithms

Mohammad Hasan Olyaei Torqabeh¹ Abolfazl Rezaei² Abbas Rezaei³

1) Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
2) ARIVET Project, Mashhad, Iran
3) ARIVET Project, Mashhad, Iran

Publication : 6th International Conference on Applied Researches in Science & Engineering - Germany(6carse.com)
Abstract :
Today, image processing and the use of systems instead of humans are growing. Artificial intelligence issues have the greatest impact on this growth and prosperity. Artificial intelligence is divided into different categories that are used in most different fields and industries such as medicine, traffic. One of the problems that humans face is blurred vision and poor eyesight. Due to the growth of technology and the continuous work of human beings with phones, tablets, computers, etc., the eyes of a large number of human beings tend to become weak and turn them into spectacled people . The remarkable thing is that these people can try to strengthen the eye muscles and strengthen their eyesight by doing regular eye exercises. So that even in some cases they do not need glasses. In this paper, an interactive software for Windows is designed to improve eyesight. In this software, the user sits in front of the system and the webcam and then opens the software. After running the software, with the help of image processing algorithms, first the face recognition operation and estimation of the person s gaze will be performed, then special exercises to improve the person s vision will be shown. After selecting the exercises, the webcam is activated and the person should help to improve their vision by following the patterns and doing the exercises on a daily basis. Finally, the success rate of each exercise is displayed to the user. The final results of the paper show that this system can be used individually or organizationally to improve the vision of the human eye.
Keywords : Artificial intelligence facial landmarks eyesight python image processing OpenCV