Barcelona Artificial Intelligence Lab
Welcome to reallity, we will not make a better world.
In an effort to equip future doctorate students with valuable skills in the fields of Computer Vision and Natural Language Processing (NLP), I conducted a hands-on training course at the University of Vigo. This course was designed to be practical and accessible, providing participants with a strong foundation in Deep Learning. The course primarily was …
SiliconBased, a pioneering company based in Tarragona, embarked on a Proof of Concept (POC) that promises to transform the way hydrocarbon transport handles loading and unloading processes. At its core, this innovative project leverages the power of deep learning and computer vision to enhance safety and efficiency. A customized dataset was meticulously crafted to accommodate …
Monitoring wastewater treatment plants with AI has been one of the most successful projects from the innovation area of Veolia group. For this purpose we build custom datasets of segmentation of different problems and test instance and semantic segmentation architectures until we find the more efficient models in external conditions monitoring water 24/7. Lighting changes …
This was project was difficult! It involved 360º images, equirectangular panoramas and plenty of epipolar geometric concepts to stitch images and find common points between different rooms of the houses. CreoTour is an startup that offer virtual tours services and they contact me to dramatically reduce the time of building a complete virtual tour. As …
To collaborate with the local authorities in the organisation of beaches and access to touristic sites I build different pipelines that counts people or density occupation in the beaches. I also counted anchored boats and tied up in harbours. Images came from CCTV cameras and computation on the edge was necessary to avoid privacy violation. …
fotoscarreras.com contacted me because they had the idea to automatise the process of detect and recognise runners and cyclists in popular races. They shot thousands of photos in each event and to properly sell to each runner their photos they need to identify it to their race number. These was a manual process that takes …
This project aim to detect 8 tooth and 4 gums diseases. It was solved using deeplearning with image classification and some diseases with segmentation. It was a project for Smiletronix a British startup that delivers AI-powered home dental diagnostics. I was the first AI engineer and build a dental dataset with the participation of dentists …
I was contacted by a company who is building a camera sensor for mobiles that infers depth information and RGB in a single lens. They wanted to reconstruct objects in an automated way from different photos (as less as possible) and using deeplearning. An initial prototype was builded in python but achievements weren’t very satisfying. …