Why one sensor is not enough
An IMU can describe motion but does not know why the motion occurred. GPS can describe speed and position but does not directly measure hull attitude. Engine data can describe operating point without describing how the boat is responding. Combining them resolves more of the picture.
Time is part of the data
Two accurate values can still be misleading if they are not synchronized. SmartTrim’s data architecture is built around timestamped streams so a change in RPM, speed or pitch can be compared on the same timeline.
Local processing on the boat
For live vessel-state estimation, sending raw sensor streams to the cloud and waiting for a response is the wrong dependency. SmartTrim is designed to process core state locally. Cloud services can support analysis, fleet visibility and updates without becoming a prerequisite for moment-to-moment sensing.
From fusion to decisions
Logger uses the fused timeline to produce a better record. Prop applies it to comparative analysis. Controller development uses the same concept as an input to bounded control logic. The value is not the number of sensors; it is the quality of the state they produce together.