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Metode Haar Cascade Classifier untuk Pendeteksi Wajah secara Real Time Pada 2 Degree Of Freedom (DOF) Kepala Robot (CD + Cetak)
Robots is a great importance creation in modern human life this time to ease human work. The improvement of robotics today can now replicate shapes and is able to imitate almost all human activities completely, starting from robots
that have vision, hearing, and movement ability like humans. Research on 2 degree ofofreedom (DOF) robot head for face detection in real time aims to obtain maximum results in robot head movements and detect faces in real time by using the haar cascade classifier method which is detected by the camera and processed in raspberry pi. The results obtained on the servo motion in theoform of an angle was to determine the detection of the taken captured picture. In this
study successfully designed and obtained face detection data with 10 samples with the accuracy of the haar cascade classifier method to detect faces with an average of 88.56%.
Keywords: Raspberry pi, 2 DOF, Haar Cascade Classifier, Computer Vision
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