Artificial Vision Algorithms for Industry

Integrating artificial intelligence and computer vision on wearable devices in industrial environments can increase productivity, efficiency, and safety in the workplace. Despite the availability of wearable devices such as Microsoft HoloLens, Magic Leap, and nreal, the application of artificial intelligence algorithms on wearable devices equipped with cameras is an open research topic. To address this gap, the FPV@IPLAB group at the University of Catania has conducted research on the construction of machine learning and computer vision algorithms for portable devices. The research has focused on three main areas: localization and navigation, user-object interaction understanding, and user-object interaction anticipation. The work conducted by the FPV@IPLAB group aims to enhance the use wearable devices and to develop artificial intelligence techniques that can improve workplace efficiency and safety.