This project implements and compares two YOLOv12 object-detection pipelines for printed-circuit-board (PCB) defect identification. The objective is to detect four major defect types: ...

Introduction: Accurate defect detection in dissimilar metal welds (DMWs) remains a major challenge due to heterogeneous microstructures and imaging noise. Methods: In this study, we propose a novel ...

External defect detection is a crucial step in Orah mandarin citrus grading. However, in existing defect detection algorithms by image processing, Orah mandarin surfaces exhibit characteristics such ...

Examining how the wealth of interconnected data will fuel the development of AI-based predictive models, capable of forecasting not only the occurrence but also the timing and underlying causes of ...

Upload and analyze product images in a Jupyter notebook Detect visual defects using Amazon Nova Pro Automatically return bounding boxes, failure reasons, and QC status Visualize defect overlays on ...

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...

Abstract: This paper presents a precise and efficient method for feature extraction of unprinted fabric for defect detection using a combination of Gabor filters, Histogram of Oriented Gradients (HOG) ...