The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes ...

A comprehensive review of laser additive manufacturing (LAM) of metallic lattice structures demonstrates how advanced design strategies, processing control, and material innovations significantly ...

On-site AI platforms combining rugged IPCs with purpose-built machine learning acceleration are giving machines the ability ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

Innovative magnetic robots for steel bridge inspection utilize AI and advanced sensors, ensuring effective defect detection and structural health monitoring.

Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data ...

Abstract: Fabric defect detection plays a pivotal role in the textile industry, as it ensures product quality and minimizes waste. Traditional machine learning models often struggle with the scarcity ...

Raipur: South East Central Railway (SECR) has commissioned an Artificial Intelligence (AI) based wagon damage detection system at the PP Yard in Bhila.

As document capture increasingly shifts beyond traditional office environments, preserving both visual fidelity and document authenticity has become a mounting challenge. Variable lighting, glare, ...

Abstract: A smart approach to surface defect detection utilizes machine learning algorithms and image processing techniques. The integration of discrete wavelet transform and the Otsu binary algorithm ...