Color shade classification using RGB sensor

This paper presents the design of an RGB sensor system for classifying similar color objects using color shades as an alternative to using a camera, which can be relatively expensive. The RGB sensor is employed to capture the reflected color of the object and then calculate the amount of color concentration in red, green, and blue on a scale of 0–255. The number 255 represents the highest possible concentration of the color, while number 0 indicates no representation of that color in the object image. As a result, when using the RGB sensor to classify different shades of the object, it achieves a success rate of 75.12%, as calculated from experiments in the shade of yellow color. The RGB sensor can be used to help reduce labor costs and increase rate of efficiency in various industries such as in food industrial, medical lab, and more.