Abstract
With the price of UAV or people often call Drone getting cheaper, making this technology can be enjoyed not only for limited communities but also for the general public. The camera features mounted on the drone can be used for face detection and recognition. In this paper, we implement Haar-Cascade based classifier for face detection and recognition using OpenCV Python on a micro UAV that only 34.7 gr weight. The face detection process is done in real-time using an FPV camera that is controlled indoors at a distance of less than 50m. From the results of the experiment, it appears that the angle of the face is very influential, especially on the face that is not fully open, like a woman who wears a hijab. The best angle to take is in the position of flying in front of the face in accordance with the slope of the FPV camera mounted on the micro UAV.
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