Solutions to the Age Estimation Challenge of Minors in the EU



One of the greatest challenges at European borders is the estimation of the legal age of minors. In this context, the need for objective, accurate, and reproducible methodology is essential to ensure a reliable process that respects the rights of minors.

In this event, we present the results of the UMAFAE project, during which we have developed highly accurate automatic methods for estimating legal age using Artificial Intelligence. We also present a working prototype.


Recorded on February 29, 2024


Stefano De Luca, Ph.D

Stefano De Luca is a forensic anthropologist and archaeologist, and a postdoctoral researcher specialized in age estimation, at Panacea Cooperative Research. He is currently leading the UMAFAE (Unaccompanied Minors Automatic Forensic Age Estimation), a research project funded by the European Union within the framework of the Marie Skłodowska-Curie 2020 actions.

Javier Venema

Javier Venema is a computer scientist and artificial intelligence researcher at Panacea Cooperative Research. He is currently developing a Ph.D. thesis focused on biological profile estimation using Artificial Intelligence.