The project aims to improve safety in industrial settings by proactively identifying potential hazards. This involves creating safe working conditions in automated industries by developing a workforce location management system through cooperation based on the partners’ independent activities in positioning.
Workers in industrial sites face challeging conditions characterised by frequent interactions between individuals and large-scale machines, which pose significant risks to their health and safety. Hazardous events apply not only to heavy equipment operating in limited visibility but also to highly automated production lines with multiple logistics routes and machine working areas. It is imperative to provide workers with adequate protection and support to reduce the risk of accidents and injuries. Such incidents can have long-term negative impacts on employees’ health and result in costly downtimes for organisations.
The project brings together four research teams with expertise in using new-generation cellular networks, predictive motion analysis, and edge computing. This will enable real-time monitoring of workers and machines and establish a complex warning system to reduce the likelihood of accidents and injuries. The project seeks to provide a flexible solution and a valuable resource for companies of all sizes that want to improve their automation processes and ensure safe human-machine interactions.