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This paper proposes an approach for the task of searching and detecting humanusing a convolutional neural network and a Quadcopter hardware platform. Apre-trained CNN model is applied to a Raspberry Pi B and a single camera isequipped at the bottom of the Quadcopter. The Quadcopter usesaccelerometer-gyroscope sensor and ultrasonic sensor for balancing control.However, these sensors are susceptible to noise caused by the driving forcessuch as the vibration of the motors, thus, noise processing is implemented.Experiments proved that the system works well on the Raspberry Pi B with aprocessing speed of 3 fps.

Extended Abstract Version: CNN-based Human Detection System for UAVs in Search and Rescue