Development of color vision deficiency assistive system

Color vision deficiency is commonly known as color blind, is a type of vision defect in our eyeball. The inability to recognize color has caused several problems to the patient daily life and in conducting certain color oriented activities. To help the patient cope with the problem of recognizing colors, a color vision deficiency aided device is designed. This paper focuses on developing a user interface that can detect colors and show it as text on the screen of the device using the concept of augmented reality. The system basically consists of a mini computer, Raspberry PI and its own camera module as well as a LCD screen for display purposes. Raspberry PI is used due to its small and compact size and capability to carry out image processing. With the help of OpenCV library, color detection, filtering and processing can be carried out easily. Benchmark shape and color of has been designed for experimental purposes to test for the performance and functionality of the system. The result of the distance test shows that the hue (H) element is almost consistent whereas the saturation (S) varies by roughly 49.3% and value (V) by 30.5%. As for the range of detection, the minimum range is 12 cm where the maximum range is up to 15 meter. The accuracy of the 4 base colors detection is about 80%