Artificial intelligence improves the location of objects inside industrial environments

Indoor positioning technologies are one of the driving forces behind the digital transformation of the industrial sector. The ability to track objects, assets and people accurately and cheaply could save resources, time and money for companies in various sectors, from logistics to health care. Xavier Vilajosana, the Professor in the Faculty of Computer Science, Multimedia and Telecommunications and leader of the Wireless Networks group (WINE) at the Internet Interdisciplinary Institute (IN3) at the UOC (Universitat Oberta de Catalunya) is coordinating the university's participation in a new European project which is developing innovative solutions to improve location in indoor environments. DUNE uses deep learning techniques combined with distributed computing systems, which take advantage of both cloud and edge computing. In other words, these are computing architectures that operate both on remote servers and near where the data are generated.