Deep Learning

The final objective of this project is to provide autonomy to a drone, in order to do video surveillance tasks with it. The main tasks are people detection and people tracking using the video stream given by the onboard drone camera. To do this, computer vision and machine learning algorithms are used.

This project shows the deployment and research of semi-supervised deep learning models for the anomaly detection in Surveillance videos deployed on a synchronous Federated Learning architecture for which training is being distributed on many nodes.