The TALEN-HExPERIA project, of the DSI Division, financed by the National R&D&i Plan of the Ministry of Science and Innovation

The project “TALENT-HExPERIA: HypErsPEctRal Imaging for Artificial intelligence applications”, whose main researchers are Gustavo Marrero Callicó and Sebastián López Suarez, has been funded by the National R&D&I Plan of the Ministry of Science and Innovation in its last call of 2020.

This is a coordinated project of 4 universities: Polytechnic University of Madrid, University of Las Palmas de Gran Canaria (ULPGC), University of Castilla La Mancha and University of Cantabria. Each subproject has a title that always begins with TALENT, which is the global name of the coordinated project: TALENT: arTificiAl inteLligence and high-pErformaNce systems applied to e-health and smarT farming.

Our subproject is called: TALENT-HExPERIA: HypErsPEctRal Imaging for Artificial intelligence applications.

The general objective of the project is to acquire, process and analyze multiple sources of digital data using Internet of Things and Artificial Intelligence techniques with the aim of improving early decision making in real time.

At the University Institute of Applied Microelectronics (ULPGC) we will focus on designing and developing hyperspectral image acquisition systems in order to acquire microscopic and macroscopic samples and generate high quality data sets to be used in training, adjustment and validation of learning. automatic and deep learning neural networks. In addition, we will address the design and development of efficient hyperspectral image preprocessing and processing algorithms based on artificial intelligence techniques. The implementation of algorithms developed based on AI will also be considered to achieve real-time performance on computing platforms with a diverse amount of resources. Finally, the suitability of hyperspectral image acquisition systems and AI-based techniques and real-time implementations, developed within the framework of the two use cases considered in this subproject, will be demonstrated: brain tumor detection and smart agriculture.