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Techniques to classify and segment dense supermarket shelves in orthographic images.
A technique to increase efficiency in video object detection.
First R&D project in Spain for the validation of autonomous navigation inside a boiler.
In this work, the insulator strings from a electrical power were segmented with a CNN. The discs and inter-discs corresponded to different classes, and disc defects were additionally detected with Siamese networks.
https://www.youtube.com/watch?v=XbCp8QI1CjM&list=PLdjvAEULWOEF4fOp8UomAGCIWEV5zolh0
Computer vision techniques to generate blade super-resolution images from separate images. Defect detection with machine learning.
https://www.youtube.com/watch?v=UpIfmpsUUBs
We ended-up in the $2^{nd}$ position in the Indoor Challenge at the 2017 International Micro-Aerial Vehicles (IMAV) competition, which took place in Toulouse, France.
Make delivery more reliable in QSRs. Computer Vision Scientist & AI Lead
We ended up in the $3^{rd}$ position for the Grand Challenge.
Project developed in the Massachusetts Institute of Technology (MIT).
In this project, pineapple plants counting from a extensive crop in Costa Rica has been carried out in high-resolution images.
https://vimeo.com/454798507/08e3c57ed0
In this work (part of my doctoral thesis), I utilized Cycle Generative Adversarial Networks (Cycle GANs) to adapt synthetic images from a game engine to the real domain, for a collision detection application.
https://www.youtube.com/watch?v=y9Bj3deT-Kw
We ended-up in the $4^{nd}$ position in the Indoor Challenge at the 2016 International Micro-Aerial Vehicles (IMAV) competition, which took place in Beijing, China.
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