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), with IoU-based bounding box fusion for robust localization. Deployed and optimized the pipeline on Jetson Nano for real time defect detection.
template-matching computer-vision image-processing fft hough-transform statistical-models glcm gabor-filters real-time-detection background-removal jetson-nano fabric-defect jetson-orin-nano texture-base-detection fabric-defect-detection
-
Updated
Dec 23, 2025 - Jupyter Notebook