Conundrum
Manual inspection struggled with fatigue and drift. Subtle defects and label/OCR errors escaped line‑side checks, leading to rework, customer complaints, and recall risk.
Xeeed Solution
Edge: Cameras at line‑side stations; vision models for detection, classification, and OCR executed on X3EDGE with low latency.
Platform: Catalyst OT captured review outcomes, flagged trend shifts, and enforced go/no‑go rules.
Enterprise: MES/ERP integration routed rework, updated genealogy, and fed SPC/quality reporting.
Business Impact for Customer
• First‑Pass Yield improved by ~4–7 percentage points on targeted SKUs.
• Escapes reduced ~50–70%; rework and scrap reduced ~15–30%.
• Audit prep accelerated through digital evidence and standardized defect taxonomies.
Extended Impact — Customer’s Customers
• Distributors/Dealers: Fewer returns and smoother launches due to stable quality.
• End Customers: Lower defect incidence and fewer recall notices.
• Regulators: Clear traceability for labeling and safety compliance.
Why It Matters
Automated, consistent inspection reduces variability and accelerates containment. It converts inspection from a bottleneck into a scalable control point aligned with compliance needs.
Conclusion / Inference
Deploy vision QC on the highest‑impact stations first. Combine detection with OCR/label checks; use Catalyst OT to enforce consistent decisions and genealogy updates.
Rollout Snapshot
Weeks 1–2: Camera POV & lighting • Weeks 3–4: Dataset & model fit • Weeks 5–6: Pilot & thresholds • Weeks 7–8: MES integration & scale.
Stack
X3EDGE (vision) • Catalyst OT • MES/ERP/SPC