Computer Vision for Textiles & Apparel

The retraining pipeline is the deliverable people forget. Conditions drift, new defect types appear, and a model nobody can retrain quietly rots over a year.

In textiles & apparel, margins are thin and small automation gains matter more than sophisticated ones. That single fact reshapes how computer vision has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is fabric defect detection, usually integrated against export documentation systems. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Built by engineers who ship production systems, not by a practice that subcontracts the build. Six weeks to something running in production, not six quarters to a strategy document.