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Food production · RTE meals & cold chain

Defects stopped on the belt—not at the retailer dock

A national prepared-foods brand deployed inline vision on high-speed portioning lines. Every tray got a pass/fail score, heat-mapped to the exact camera and minute—so QA, not night shift, owned the narrative when questions arose.

0Class-I recalls (18 mo post go-live)
94%Defect catch before packaging
3.2sP95 inference latency per tray
$1.1MAvoided scrap & rework (annualized)

Snapshot

Who: USDA-inspected RTE facility network (anonymized) — three plants, shared SKU catalog.

Problem: Human spot checks missed intermittent seal issues; downstream x-ray was too late to save the batch.

What we shipped: Multi-camera edge boxes, synchronized triggers from encoders, and a batch genealogy service that ties frames to lot codes.

Challenge

Reflective film and steam confused early models; false rejects angered ops. Precision had to climb before recall risk budged.

Approach

We started on the worst SKU by complaint rate, froze lighting angles, and used synthetic defects from the tooling vendor to augment rare classes.

Solution components

Edge inferenceTensorRT-optimized models; NTP-locked frame timestamps.
Line HMITraffic-light stack lights + two-tap override with supervisor PIN.
Genealogy serviceLot + tray ID + frame URI + model version immutable store.
Retrain loopWeekly hard-negative mining from QA holds.

Rollout timeline

Weeks 1–4 · Line instrumentation

Encoder wiring, lighting baffles, baseline image quality SLAs.

Weeks 5–10 · Model hardening

Precision/recall targets signed by QA and plant manager.

Weeks 11–14 · Regulatory packet

Validation scripts, change control, electronic signatures.

Month 6 · Replication kit

Playbooks exported to sister plants with hardware bill of materials.

“Retail audits used to keep me up at night. Now I pull the tray ID and we show exactly what the cameras saw before it ever left our building.”

— Director of Food Safety & Quality, anonymized

Results & controls

Representative scenario for marketing purposes. Regulatory submissions vary by jurisdiction and product category.