Thesis addresses the problem of human detection using a built-in computer and camera. Main software structure uses convolutional neural networks in combination with the Posenet model. We've assembled a system for human detection whose main components are: camera, LED diode and Google Coral computer, equipped with EdgeTPU module for fast and reliable usage of convolutional neural networks. The working principle of the system is as follows: when the camera detects a human being, the LED lights up. Technology allows autonomous robots to have a new method of extracting and interpreting information from the enviroment.
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