In this study, the traditional GA-SVM algorithm was improved using the PJS-M method, and the defect recognition performance for real-type defects was enhanced through multi-sensor fusion–based ...

Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory ...

The handler-dockable interface of the MPT enables engineers to collect massive data across process corners for further correlation with results from advanced optical metrologies, AI/ML-driven analysis ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

More information: Shiru Wu et al, Point Defect Detection and Classification in MoS2 Scanning Tunneling Microscopy Images: A Deep Learning Approach, Molecules (2025).

Ensuring the quality of the printed circuit board (PCB) is vital. Most of the current fault detection algorithms perform well in PCB defect detection. However, these methods involve too many ...

Monitoring and maintaining the conditions of roads is a challenging and essential task. Object detection models can accelerate the assessment of roads, making it more efficient and standardized.

Steel Surface Defect Detection A deep learning–based Computer Vision project to detect six types of steel surface defects using Convolutional Neural Networks (CNNs) and OpenCV. Achieved 96% accuracy ...