To solve this problem, we introduce a deep learning-based 2D+3D vehicle paint surface appearance defect detection solution. By installing 2D/3D detection sensors on robots, we achieve comprehensive ...

Advances in deep learning have transformed the field of infrastructure maintenance, particularly in the automated detection and characterisation of defects in sewer pipelines. Leveraging large volumes ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

Discover how deep learning–based de-noising enhances X-ray inspection—producing clearer images and reducing false results.

AI visual inspection is essentially an integrated application of "computer vision + deep learning." It captures product images through high-precision imaging devices and utilizes deep learning models ...

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...

Researchers from Northwestern University, University of Virginia, Carnegie Mellon University, and Argonne National Laboratory have made a significant advancement in defect detection and process ...