Developed an automated visual inspection system using advanced deep learning models to enhance fabric quality control and reduce labor costs. The system accurately detects and classifies various types of fabric defects in real-time.
Advanced object detection and segmentation
Comprehensive fabric defect dataset handling
Accurate classification of multiple defect types
Streamlined model training and deployment