SISTEM PERINGATAN DINI ANTISIPASI KEJAHATAN DENGAN POLA GERAKAN TANGAN

Herlan Sanjaya
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Abstract

This research aimed to create an early warning system to anticipate crime with the patterns of hand motion. This system consisted of Webcamp, Personal Computer, GSM Modem, GSM shield, Arduino uno, and alarm speaker. The webcamp detected input of a hand gesture that had been determined, if the pattern was recognized then the modem will automatically sent a short message to Shield GSM installed in the nearest police station and Arduino Uno would turned on the speaker as an alarm. The algorithms used to identify finger and hand gesture were image segmentation, finger and hand pose determination, and translation of finger position. Based on the trial results, the distance from the camera had an effect on the level accuracy of object detection. The maximum distance from the camera to the object was 2 m (meters).
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一种具有手势模式的犯罪预警系统
这项研究旨在建立一个早期预警系统,通过手部动作模式来预测犯罪。该系统由Webcamp、个人电脑、GSM Modem、GSM屏蔽、Arduino uno和报警扬声器组成。webcamp检测到已确定的手势输入,如果模式被识别,则调制解调器将自动向安装在最近警察局的Shield GSM发送短消息,Arduino Uno将打开扬声器作为警报。用于识别手指和手势的算法包括图像分割、手指和手的姿势确定以及手指位置的转换。实验结果表明,与相机的距离对目标检测的水平精度有影响。相机到物体的最大距离为2米。
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