This project consists in developing a code able to recognize objects from images, the code can be then implemented on a drone or other system to enable a self-driving mode. In order to achieve this result the structure is based on a Convolutional Recursive Neural Network, CRNN, obtained from the fusion of two standard neural networks: Convolutional Neural Network (CNN) and Recursive Neural Network (RNN). The CNN is used as features extractor and its output is passed to the RNN that elaborate them exploiting its tree-like structure. The reason to join those two networks is that the RNN improves considerably the accuracy performance respect to a CNN alone.