THE CHALLENGE
Operational complexity needed a better system.
Factory managers lacked objective machine-level data to distinguish actual operating time from idle or stopped periods.
Turning sewing-machine electrical signals into practical runtime, idle, stoppage and energy intelligence.
Factory managers lacked objective machine-level data to distinguish actual operating time from idle or stopped periods.
Fourbrick designed an edge-connected sensing approach and analytics layer to classify operating states and expose line-level patterns.
IoT sensing · Edge firmware · APIs · Analytics · Dashboard
Bring us the problem, the operational constraints and the outcome you need. We’ll bring the engineering.