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Automated audience polling on iPhone

A system for the automatic visual estimation of in-class polling using an iPhone is proposed which detects the number of faces within the field of view, the number of raised hands within the field of view, and uses the ratio as the estimate of the number of positive votes. The system utilizes the Adaboost object detection algorithm implemented in OpenCV, and processes all detected faces and raised hands, to determine whether each of the audience available in the scene are voting or not. Several examples with actual iPhone images are shown in order to illustrate the utility of the proposed system.