["Most fuel-theft alerts fail for the same reason: they treat every dip in the fuel curve as suspicious. Sloshing, sensor noise, gradients and hard braking all look like drains to a naive threshold \u2014 so operators drown in false positives and switch the alerts off.","Robotic Eye takes a different route. It learns each vehicle\u0027s normal consumption baseline \u2014 how that specific truck burns fuel when idling, moving loaded, or crawling through traffic \u2014 and only flags events that deviate from it. A genuine drain shows up with an estimated volume, a timestamp and a GPS location, and becomes a permanent record.","The result across pilot fleets: alert volume down, catch rate up, and map-watching reduced to genuine exceptions only."]