AI-based fabric inspection with evidence your quality team can review

Start with the fabric, fault and inspection point

Tell us the fabric range, the faults that matter and where the check happens. A hole in a plain weave and a colour inconsistency in a printed fabric are different tasks. The sample set should include normal variation as well as defects, so the test measures false alarms as well as detections.

• Visible surface and weave faults

  Mark suspected holes, stains, broken-yarn areas or other agreed irregularities in inspection images. The defect list must match your fabric and quality standards.

• Review before the next stage

  Create a queue of flagged images for checks before cutting, packing or another agreed production step. Keep the roll and batch reference with each image.

• Inspection records by roll or batch

  Summarise reviewed flags so your team can see recurring issues and investigate them. Image patterns alone do not establish a machine fault or its cause.

Turn a flag into a reviewable record

A useful result keeps the original image beside the marked region and the roll or batch reference. The reviewer records whether the flag is relevant. Length position, machine signals and export connections depend on the equipment and interfaces available at the site.

Can the camera fit our existing machine?

We assess the viewing position, mounting space, lighting, fabric motion and safe access. Some machines may support an additional inspection station; others need a different capture arrangement. Compatibility and installation work are confirmed for the specific line, not assumed for every rolling frame.

• Inspection rules

  Your defect categories, minimum relevant fault size and the person responsible for the final quality decision.

• Camera and lighting

  The available view, image detail, exposure, lighting stability and whether a dedicated inspection camera is required.

• Line conditions

  Fabric speed, vibration, folds, working distance and the space available for mounting equipment.

• Records and connections

  Roll identifiers, sample reports and any permitted connection to production or quality software.

What a measured pilot should establish

Agree the defect classes and minimum relevant sizes. Keep evaluation samples separate from configuration examples. Measure missed faults, false alarms, coverage at the target operating conditions and the time inspectors spend reviewing results. Set deployment targets from that evidence rather than promise a percentage improvement in advance.

Keep quality decisions with your team

Lighting changes, moving fabric, unfamiliar patterns and very small defects can affect results. An image system also cannot assess characteristics that are not visible in its camera view. New fabric ranges may need new examples and validation.

Your inspectors approve acceptance or rejection. The project should define what happens when a camera is blocked, a result is uncertain or the system is unavailable, so the existing quality process can continue.

A practical first discussion

Describe the fabric and the recurring defect. If your organisation permits it, we can agree a suitable way to review representative sample images or a short clip. Do not send confidential buyer designs or production material before the sharing terms and access are agreed. An initial enquiry is not a promise of a free report or a fixed rollout price.