Pilling and Surface Quality Evaluation Automation
topic
Automated pilling assessment systems image fabric surfaces under defined illumination and analyse surface texture features using image processing algorithms that correlate with human visual pilling grade assessment, providing objective numerical pilling grade values comparable to visual reference standards per ISO 12945 without inter-assessor variability, with inline surface inspection adapting these algorithms for continuous production monitoring of fabric surface quality.
Role
Eliminates the subjectivity and inter-assessor variability of manual pilling grade assessment through image-based analysis that provides reproducible numerical grade values, enabling consistent quality specification compliance verification and systematic correlation of pilling performance with raw material and process variables that manual grading variability would mask, supporting evidence-based product development for improved pilling resistance.