ProSense One
The data foundation for process analysis. 16 channels ride the line and record what the part actually experiences — temperature, humidity, air velocity, zone by zone. Stream it live. Export it. Run the analysis.
Data worth training on.
Measure. See. Export.
16 channels in one synchronized dataset: part temperature on the rack, booth temperature and humidity, air velocity. What the part experienced — not what a wall sensor guessed.
The device is auto-discovered on the network and streams every channel live to the dashboard. Drift shows up during the shift, not in next week's meeting.
Per-channel CSV, one run or many, packed as ZIP. The same files feed Excel, your ERP — and the analysis pipeline that turns a raw run into a shift report.
The measurement is step one. The analysis is why.
A recorded run is not a folder of curves. It is input. We train fault-detection models on physically modelled paint-line data, pair them with an Ishikawa cause catalog built from real coating defect cases, and return a shift assessment report your quality manager can act on.
Cold clearcoat oven, conveyor stall, stuck sensor: a 14-class taxonomy modelled on a real 3-layer paint line. The models train on physically modelled runs, so real measured runs validate them — the model exists before the fault does.
Separating process faults from sensor faults is the models' primary target. It is the first question the analysis asks — the same question every good root-cause workshop starts with.
Root-cause work starts from a prefilled Ishikawa catalog for common paint defects on plastic exterior parts — six cause categories, built from real defect cases — instead of starting from zero.
In a full-shift customer assessment, cure was judged by the coldest part position, not the average: 40.8 minutes above 80 °C against a 35-minute spec. 5.8 minutes of margin — a number an average would have hidden.
Measure.
ProSense One rides the line and records what the part experiences, zone by zone.
See live.
Auto-discovered on the network, every channel streaming to the live dashboard during the shift.
Export & analyze.
One-click CSV feeds the analysis pipeline and comes back as a shift assessment report.
