A system for the maritime shipping industry to aid enforcement of the Sulfur Dioxide (SO2) exhaust emissions regulations which uses neural networks and a novel sampling process to detect and record compliant operation of a ship regarding the fuel switching aspect of the regulation. The processing load of neural network training can be distributed over multiple identical self-contained, self-powered, self-communicating sensor units on each of the monitored ships.