Intelligent Monitoring System for Construction Sites

The construction industry continues to face significant challenges in ensuring the safety of workers on construction sites. Recognized as one of the most dangerous work environments, construction sites still report high accident rates despite significant safety efforts. This paper presents a new personnel monitoring system on construction sites with the primary goal of improving safety levels and significantly decreasing the incidence of work accidents. The proposed system is an IoT hardware/software platform based on a geo-fencing system and a Deep Learning model that performs inferences on images acquired from the construction site. Specifically, key functionalities include accurate counting of workers in monitored areas and verification of the presence of personal protective equipment by each worker, while also detecting unauthorized personnel. Rigorous real-world testing has demonstrated the feasibility of the system, especially in terms of real-time operational effectiveness. The results obtained were encouraging to plan further interesting developments on the topic of construction site safety.