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QC inspection · Manufacturers

Inspect Every Part, Not Just a Sample.

Manufacturing QC has always been a trade-off: inspect everything and slow the line, or sample and accept escapes. AI changes the maths. Every part inspected, sub-second, against a structured schema, using cameras and tablets you already own.

Tell us the task, your current tools and where the work gets stuck. We will help you choose a sensible first scope.

Illustrative inspector measuring an aluminium component at a workshop quality bench
Illustrative service scene.

The manufacturers reality.

Off-the-shelf machine vision systems are designed for high-volume production lines running one product all day. They're £20k+ per station and don't suit mixed-product SME manufacturing. Meanwhile, your team takes pre-dispatch photos that nobody uses for inspection. That gap is where AI lives.

The work in context · Illustrative scenes

Illustrative Copperfold concept showing an everyday manufacturing business

Start with the manufacturers workflow.

Use representative inputs from the business to scope qc inspection. Agree what the system prepares and what a person needs to check.

Illustrative software handover with a practical demonstration and quick-start notes

Make the handover part of the build.

Test normal work, missing information and failures with the team, then hand over clear review steps and practical guidance.

Tuned for manufacturers.

01

Product-specific inspection schemas

Per product type: components present, assembly correct, labels right, packaging complete. Structured checklist the AI can apply consistently.

02

Multi-source capture

Phone cameras for manual stations, fixed cameras at automated stations, drone shots for large assemblies. Same model, same workflow.

03

Inline or end-of-line

Use at end-of-line for finished-goods QC, or inline at sub-assembly stages to catch errors before they compound into the next stage.

04

Integration with your traceability

Inspection records tied to batch number, serial, work order. Audit trail meets ISO 9001 and customer-specific traceability requirements.

We integrate with what you have.

  • Phone cameras / tablets
  • Fixed station cameras
  • Custom ERPs / MES
  • ISO 9001 audit logs
  • Customer traceability systems

We check your software version, available API or export, access permissions and any supplier fees before quoting. If a reliable connection is not available, we will explain the practical alternatives.

Prove it on your own work first.

01

What we need to see

Your inspection checklist, representative images and labelled examples of acceptable parts and known defects.

02

How we judge the pilot

Measure missed defects and false alarms by defect type under real lighting and camera conditions.

03

What stays in your hands

Your quality lead decides what can pass. Physical measurements, safety checks and final release remain with qualified staff.

Fixed fee, phased delivery.

£3,200-£12,000 for build, ~£150-£400/month for hosting

From £3,200excluding VAT

QC inspection for manufacturers

  • Workflow audit + industry-specific spec
  • Build, integrations, and tuning to your real data
  • Deployment, handover and agreed access controls
  • Hosting, AI usage and ongoing support quoted separately

Things people in this industry ask us.

01Will it work alongside our existing machine vision?

Yes, they're complementary. Industrial vision rigs are good at dimensional measurement at speed. AI vision is good at visual judgement and varied products. Many manufacturers run both: the machine vision for measurements, AI for assembly correctness and surface defects.

02Can it handle changeovers?

Yes. New product schemas can be activated via a barcode scan, a work-order trigger, or just operator selection. The system inspects against the right checklist as the line runs different products through the day.

03What about ISO 9001 / IATF traceability?

Every inspection logged with image, schema, decision, reasoning, and operator. Linked to batch and serial. Provides a cleaner audit trail than paper logs.

04How accurate is it?

It depends on the image, defect class and inspection conditions. We establish a per-class baseline during the pilot, set sensible confidence thresholds and send uncertain cases to human review rather than silently misclassifying them.

05Can we run it on-premise?

Yes. We can deploy fully on your network if that's required for IP or data-residency reasons. Cloud deployment is faster and cheaper but on-premise is fully supported.

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