Built a real-time, purely classical computer vision system for fabric defect detection using multi-method analysis (GLCM, FFT, Gabor, statistical variance, background subtraction, and edge–Hough), ...

Abstract: Defects are inevitable on fabric surfaces during the weaving process, and their size is the primary criterion for fabric quality rating. Existing methods primarily rely on computer vision ...

1 Drone Lab, Centre for Artificial Intelligence and Robotics, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India 2 Drone Lab, School of Mechanical and Materials Engineering, Indian ...

Abstract: Fabric defect detection is indispensable but challenging due to the diversity of fabric texture and defect types in textile mills, and a variety of deep learning-based supervised methods ...

a. Create a conda virtual environment and activate it. Then install Cython. conda create -n open-mmlab python=3.7 -y conda activate open-mmlab conda install cython b. Install PyTorch stable or nightly ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...

You’ve probably looked at the tags on your clothes or bedding and tried to make sense of what it all means. These tags have a long list of terms and pictures that may look familiar but also confusing ...

The defect rate for mortgages grew significantly across all loan types in the second quarter of 2024, continuing a trend seen in the first quarter. The share of loans with defects grew to 1.81%, ...