Abstract: System, apparatus and method of image processing to detect a substance spill on a solid surface such as a floor is disclosed. First data representing a first image, captured by an image sensor, of a region including a solid surface, is received. A trained semantic segmentation neural network is applied to the first image data to determine, for each pixel of the first image, a spill classification value associated with the pixel, the determined spill classification value for a given pixel indicating the extent to which the trained semantic segmentation neural network estimates, based on its training, that the given pixel illustrates a substance spill. The presence of a substance spill on the solid surface is detected based on the determined spill classification values of the pixels of the first image.

Abstract: A method of monitoring for the presence of an event entity in a monitored region comprising receiving, at a first level of detail, first event data from at least one data processing device of a plurality of data processing devices each configured to monitor at least a portion of a monitored region, the first event data indicative of an event entity occurring in the monitored region; processing the first event data to determine the presence of an event entity indicated by the event data; comparing the identified event entity with a data store defining notification events; and responsive to the identified event entity matching a notification event, outputting a notification relating to the identified event entity.