Abstract: Developments in cloud computing and smart
phone technology have opened the door for many unique
applications to be created. One of such applications is the
ability to allow users to use computer vision with a
camera on their phone to translate foreign signs into
their native language. However, early adopters of this
technology are far from optimal when it comes to
features and robustness of their apps. Exploring options
for optimizing allocation of resources and maximizing
features of these apps can greatly improve the technology
for users and distributors alike. In this paper we
introduce a scalable and energy efficient computer vision
protocol for the text translation to reduce power
consumption, improving the data usage, and accuracy of
translation. Our proposed idea is based on a camera
driven process algorithm and an energy-efficient model
to improve energy efficiency and provide the scalability
support for foreign language translation. To validate the
proposed idea, a Java based platform is developed.
Furthermore, the performance of our application is test
and compared with other applications of the same
purpose. In the testing process, we randomly selected the
set of words between languages. Our results demonstrate
that our proposed energy efficient and scalable
application showed much better performance than
existing applications including google App.