Color Classification and Detection System for Color Deficient People

Abstract

In this project, we propose this study to help color deficient people to have equal chances with normal people in daily life as they have the physical defect in which they lose the ability to recognize colors either particular or the whole of them. This disability is problematic in daily life, moreover in some specific areas that require careful eyesight. This study designs an embedded system and mobile application for color deficient people. The system includes the hardware in which all the components such as Pi camera, SD card, USB and Device (Mouse, Keyboard) are connected with the Raspberry Pi and software in which when the Pi camera does live streaming so after that through python and using OpenCV library, Color detection and color model switching codes are implemented. The color in which the person is deficient is detected and then the color models are switched to another color model ifthe person face difficulty in seeing that color in current model. The user sees the switched models on the VNC Viewer on their preferable device