Our work and research conclude that color blindness is a
generative deficiency that causes the color blinded people
cannot recognize the color. Color blindness itself is divided
into the total and partial color blindness. Augmented reality
technology can be used as an alternative in providing color
information. In our work, EmguCV is used. In .NET Compact
Framework as used in Windows 7 Phone, EmguCV cannot be
used, so we develop the program using simple algorithm to do
the color detection. Based on the testing, the color detection
module for embedded systems with HSV color model, we
obtained an average rate of 69.33%, whereas in the HLS color
the success rate is 90.67% in bright and ideal lighting
condition. In the same lighting condition, color detection
module for mobile applications, the RGB color model gives
detection rate of 11.33%, while the module with the HLS
color model gives detection rate of 95.33%. Testing result also
suggest that lighting condition gives significant influence on
the success on color detection, both on the module or modules
for embedded systems in mobile applications. In addition,
sample users have different perceptions of color. In the
testing, average testers quite satisfied with the system that has
been implemented. In the future works, to enhance the user
experience on the module that has been implemented on the
embedded system, speech recognition feature can be added. In
the module for mobile applications, image processing
functions can be performed more advance to minimize noise
and improve the detection rate. The existing system can also
be designed to be implemented on a head-mounted display
device in the future.