Abstract: An apparatus (400) comprising means for: obtaining (302) construction site activity information via a network of distributed on-site activity sensors (102); obtaining (304) environmental condition information from an environmental condition information source; determining (306) whether a site restriction alerting condition is satisfied, in dependence on the construction site activity information and on an environmental condition an indicated by the environmental condition information; and outputting (308) an alert in dependence on satisfaction of the site restriction alerting condition.

Abstract: A system (100), method (300), and computer software (408) are described. The system (100) comprises microphones (202) distributed around a construction site (1), the system (100) comprising means for: receiving (302) audio information obtained by at least a first microphone of the microphones (202); and determining (308) a type of construction equipment (3) in-use based on the received audio information, via a machine learning engine.

Abstract: An apparatus includes one or more processors configured to: receive one or more sets of data relating to a first event; input the one or more sets of data to an artificial neural network providing a learning model; receive from the learning model first output data representing a predicted duration of a task resulting from the first event; receive from the learning model second output data representing one or more predicted resources required at the end of the predicted task duration; and allocating one or more of the predicted resources available at or near the end of the predicted duration.