Operational Compliance
Vision-based quality that runs at line speed, not lab speed.
Predco's computer vision inspects parts in-line — at full production speed, on the cameras you already have or new ones you place. Defect detection, completeness checks, and assembly verification, all tied back to root cause.
False reject <0.4%
Inspection coverage 100%
01 / Why this matters
Sample-based QC is a 1990s answer to a per-unit-cost problem.
Sampling catches obvious defects. The ones that escape — and become field returns — are exactly the ones sampling misses.
01
Sampling is statistically inadequate
Today's defect levels are below the resolution of practical sampling plans. 100% inspection is the only honest answer.
02
Vision systems break on real production
Lighting changes, dirt, line speed, mixed parts — most off-the-shelf vision systems give up.
03
Defects keep mutating
New defect modes appear with new tooling, new suppliers, new materials. Static rule-based vision can't keep up.
04
Escape root cause is guesswork
When a field defect comes back, tracing it to a shift, a tool, an operator, or a material lot takes weeks.
02 / How it works
Inspect, classify, route, learn.
STEP 01
Inspect every part
Line-speed inspection on existing cameras or new ones placed for tight defects.
STEP 02
Classify defect modes
Per-defect-mode models. Self-tune as new defects appear or production mix changes.
STEP 03
Reject and route
Trigger reject mechanisms, escalate to QC, hold lot, or pass — all configurable per line.
STEP 04
Feed root cause
Defect frequency by shift, tool, supplier lot, line speed — closing the loop on improvement.
03 / Capabilities
100% inspection that actually runs in production.
Defect detection
Surface defects: scratch, dent, weld porosity, paint runs, missing fasteners, label drift.
Completeness check
Verify every required component is present and correctly oriented before the part moves on.
Dimensional verification
Visual gauging within tight tolerances — for non-critical dimensions that escaped CMM.
Self-improving models
Operator confirmations and rejects retrain the model — accuracy climbs over time.
Defect analytics
Defect frequency by shift, line, supplier, batch. Surface drift before it becomes a recall.
Audit-grade evidence
Every inspection image archived with verdict. Field-return traceability in seconds.
04 / Integrates with
Drops into the line — and the systems that run it.
Predco runs as a co-process to existing PLCs and MES. Reject signals are PLC-grade. Verdicts and images stream to MES and QMS.
- PLC reject signals: Siemens, Rockwell, Mitsubishi
- MES integration: Wonderware, FactoryTalk, SAP DM
- QMS integration: ETQ, Sparta TrackWise
- GigE Vision and USB3 Vision cameras supported
- Edge GPU appliance — no cloud required
05 / Outcomes
What customers measure
100%
Inspection coverage
Every unit, every shift, every line.
<0.4%
False reject rate
After model tuning on facility-specific data.
−68%
Field returns
Median across deployed lines, year-over-year.
6 wks
Time to first line
From kickoff to inspecting production parts.
06 / Standards & regulations
Built for the rulebooks you operate under
Out-of-the-box validation libraries for the standards manufacturers actually use.
IATF 16949 — clause 8.6AIAG CQI-9, CQI-15ISO 9001AS9100 (aerospace)FDA 21 CFR Part 820Hi-Vis / safety class checks per OEM
07 / Powered by
The Predco products behind this solution
Available for new deployments — Q2 2026
Optimize. Predict. Prevent. Comply.
Bring AI-powered compliance to your manufacturing operations. A 30-minute call with our team — no slideware, just a working walkthrough.
4 hrs
Avg response time
6 wks
From kickoff to live pilot
SOC 2
Enterprise security posture