In this thesis the idea is to create a cart that automatically follows a specific human, this idea can be applied for example inside super markets. To do this I have tried some techniques and technologies that can be used to build a robot able to automatically follow a human. The initial goal was to build a subsystem that does not move but that was capable to identify and follow a person using a camera able to move. The first version of this subsystem included a raspberry pi 2b with a raspberry pi camera module V1, moved by a 2DOF hat controlled by the raspberry, using Tensorflow lite and OpenCV for computer vision and image recognition I obtained performances of 1fps, after upgrading the system with the NCS2 that is an accelerator for neural networks from intel I obtained a speed of 4fps using Openvino.