This paper discusses the multi-color recognition using
the min-max color threshold for outdoor robot navigation. All
colors used in this project are RGB orthogonal color space in
order to see how much of each primary color between min and
max that can be observed in the color to be recognized. The white
color value in the color space is set as the object for which the
target color to be recognized belongs, while the black color value
is set as the object background. The recognition process is done
by summing up first the values of the red, green and blue in each
color to obtain the rgb sum value, which is then divided by the
individual color element to obtain the color threshold. This
threshold is compared to the originally color threshold for the
recognition, where a satisfactory result is expected as the project
is not yet finished.