THE BARGE is a portfolio repository for all the AI related projects I have done for academic, self-learning and hobby purposes.
As an Automation Engineer, Algorithms Specialist and AI enthusiast, during my career I had the opportunity to practice different sub-fields of Artificial Intelligence. Therefore, THE BARGE is arranged in different decks:
If you have any question on the featured projects or if you are interested in activating a collaboration do not hesitate to write me at [email protected] or on 
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A Random Forest-based Approach for Hand Gesture recognition
Gesture Recognition has a prominent importance in smart environment and home automation. In this project we propose a Random Forest-based approach for hand Gesture Recognition starting from wireless wearable motion capture data.
AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data
By exploiting autoencoders, dilated convolutions and an ad-hoc defined architecture, AutoSS allows to develop effective soft sensing modules without any kind of human intervention, even with time-series input data.
Coin Detection and Classification using CV-based Strategies
Coin identification and recognition can significantly enhance the functions of vending machines, pay phone systems and coin counting machines. The primary purpose of this project is to develop a detector capable of finding and classifying Euro coins in images purely relying on CV frameworks.
Interactive Surveillance Using a UAV Mounted Camera Network
The possibility to mount cameras on Unmanned Aerial Vehicles (UAVs) may extend the capabilities of Multi-Camera surveillance systems to a whole new level. This project aims to find a solution to the Interactive Surveillance problem using multiple UAV mounted cameras.