Tag: industrial inspection

A new YOLO-based framework called GSDD-Net detects subtle gear surface defects in cluttered industrial images with higher accuracy, a smaller ...

Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with patchwise nearest-neighbor ...

Researchers have shown that a pair of vertically arranged electromagnets can levitate and steer a magnetic robot inside a fluid-filled ...

Researchers have developed pFedDS, a personalized federated learning approach that measures each model parameter's sensitivity to non-uniform data and adapts ...

Researchers in China have developed an unsupervised tensor decomposition algorithm that detects subtle, low-contrast fabric defects while keeping false alarms ...

A new self-supervised framework called AnomalyMHKD combines self-distillation, cross-architecture distillation and dynamic teacher freezing to detect industrial anomalies with up ...

Researchers at Yonsei University have developed a prompt-tuning method that lets the vision-language model CLIP detect and localize industrial defects ...

Researchers at Shanghai Jiao Tong University have built a 0.36-square-millimeter photonic chip that performs high-precision swept-source OCT for industrial inspection, ...