THE PERCEPTION STACK
Three layers, one continuous read of the physical world.
Perceive
Fuse vision, vibration, thermal, and PLC signal data into a single spatial model of each machine and cell — refreshed continuously, not sampled in batches.
Predict
Every asset gets a rolling forecast of wear, drift, and failure risk, trained on your own equipment rather than a generic fleet average.
Act
Recommendations route straight into your MES, CMMS, or PLC logic — or trigger a supervised stop when a safety envelope is at risk.
THE STACK, RUNNING
One perception layer, every machine on the line.
Perceive, predict, and act run as a single continuous loop at the edge — not three tools stitched together after the fact.
Perception, prediction, and decision layers running together on a live cell.
A WORKING PRINCIPLE
"A machine that can't perceive its own wear can only ever be maintained on a schedule — never on reality."
WHERE IT RUNS
Built for the floor, not the pilot deck.
Automotive final assembly
Torque, alignment, and fastening cells monitored in real time, with drift flagged before it produces a defect.
Warehousing & logistics
AMR fleets and conveyor junctions get a shared spatial map, cutting collision risk and idle routing time.
Food & beverage lines
Vibration and thermal sensing on fillers and packaging lines catches bearing wear weeks before failure.
Heavy equipment yards
Structural and hydraulic stress patterns tracked across a mixed-age fleet without retrofitting OEM sensors.
THE HORIZON LINE
Perception has always had a horizon. We're moving it deeper into the physical world.
Every Opi Robotics deployment extends that line a little further — from a single cell, to a line, to a site, to a fleet.
DEPLOYMENT
Live on your floor in weeks, not quarters.
Instrument
We map your existing sensors and PLC tags first — most sites need little to no new hardware to start.
Calibrate
Models are trained against your equipment's own baseline for 2–4 weeks before any recommendation goes live.
Operate
Perception runs continuously at the edge, with a supervised rollout of automated actions once trust thresholds are met.