The group decided to shift focus primarily to sensing the light input and creating a light output. Raw data will be inputted into a MATLAB code that the group will write, and this code will output percent values for white, red, green, and blue LEDs. The code will communicate the intensity of the outside light to the LEDs to mimic the daylight.
There is already raw data found for the light intensity for an average day. The wavelength and intensity are both recorded, so this code will put this into something that can be utilized. The light intensity in lux will correspond to how brightly the LEDs will shine, and the wavelength in nanometers will correspond to the color temperature, as dictated by the red, green, and blue LEDs. The group will experiment to find out the best numbers of each LED so the proportions mimic the color of daylight.
The Kelvin temperatures in the raw data were converted to wavelengths in nanometers. Color temperature in Kelvin does not correspond to a color on the color spectrum, so Kate used the two main points to convert the other Kelvin temperatures to wavelengths, by creating an equation on Excel to relate the two. This filled in the rest of the chart so the wavelengths can be used to create a light spectrum with red, green, and blue.
The group also began to code this data into MATLAB. The group needs to figure out how to display the results on the program, and an expert will aid in formatting this code correctly.
The group will meet this weekend to visit the nursing home and to continue work on the code.