Medical tests such as urinalysis, and other colori-metric assays require the measurement of changes in color. For such applications, this paper presents an innovative, low-cost color sensor, based on reflective color sensing. The proffered system is constituted of a light-intensity sensor and an RGB (red, green, blue) LED, placed on strategic geometries. Various regression models for calibration of the color sensor were investigated. Using cross validation with a training set of 160 colors, a cubic-spline regression model was selected. The accuracy and robustness of the novel sensor are also discussed.
H. Venugopal, Jayakumar, A., Gutjahr, G., Nair, G. J., and Prof. Prema Nedungadi, “Design of a Low-cost Universal Color Sensor to Support Rural Healthcare”, in 2018 8th International Symposium on Embedded Computing and System Design (ISED), Cochin, India, India, 2018.