Live Target Detection with Deep Learning Neural Network and Unmanned Aerial Vehicle on Android Mobile Device
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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 laptop keyboard was classified with the proximities of 19.10 respectfully. The laptop monitor was classified as screen, monitor and television with the proximities of 18.77 computer used during the development of this study was classified as notebook and laptop with the proximities of 20.04 parked at a parking lot was classified with the proximity of 12.88 cars in the same parking lot were classified as sports car, racer and convertible with the proximities of 31.75 an inference time of 851ms.
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