  This paper describes the stages faced during the development of an Android
program which obtains and decodes live images from DJI Phantom 3 Professional
Drone and implements certain features of the TensorFlow Android Camera Demo
application. Test runs were made and outputs of the application were noted. A
lake was classified as seashore, breakwater and pier with the proximities of
24.44%, 21.16% and 12.96% respectfully. The joystick of the UAV controller and
laptop keyboard was classified with the proximities of 19.10% and 13.96%
respectfully. The laptop monitor was classified as screen, monitor and
television with the proximities of 18.77%, 14.76% and 14.00% respectfully. The
computer used during the development of this study was classified as notebook
and laptop with the proximities of 20.04% and 11.68% respectfully. A tractor
parked at a parking lot was classified with the proximity of 12.88%. A group of
cars in the same parking lot were classified as sports car, racer and
convertible with the proximities of 31.75%, 18.64% and 13.45% respectfully at
an inference time of 851ms.
