Human Detection System with Laser Pointer by Deep Leaning
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Abstract
This research proposes the method for developing an automated person tracking system. At present, many object inspection systems using deep learning. At present, deep learning methods are widely used for object detection methods. An object tracking in a video image is another example. An object tracking in a video image is another example. In this research, the new approach is developed to track and identify people by using deep learning. This method consists of two steps. The first step, deep learning is used to examine the people inside the digital images. The center point of the detected objects is used for the next step. In the last step, two-stepping motors are forced to moving on the vertical and horizontal axes. The moving distance of the two axes is calculated by using the previous step center point. This movement of stepping motors will control the laser pointer for pointing the appeared person in the digital image. The experiment and result demonstrate the best performance of this method. This method can point to the person within the image.
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References
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