This document presents a proposal for a project to identify defects in white fabric using computer vision. The objectives are to identify common defects like horizontal/vertical stripes, yarn missing, bunching up, and stains. A dataset will be collected from a local textile industry using an HD camera. A methodology will be proposed using machine learning techniques and comparative analysis. The expected outcome is real-time defect identification to improve quality assurance and reduce costs for textile manufacturers.