The application of automated inspection for industrial pipe damage detection is attracting substantial research and development interest. Damage to pipes not only hinders the optimal functioning of factories but also presents a risk of industrial disaster... read more of Advancing Industrial inspection: A Dataset for Automated Damage Detection in Insulated Pipes

As Deep Neural Network (DNN)-based algorithms are improving, pivotal changes are happening towards efficient and effective automation in the field of industrial inspection. In the scope of our project, we analyze X-ray images of steel pipelines to detect ... read more of X-ray Anomaly Detection in Industrial Pipelines

Damage detection remains a critical challenge, especially within the industrial automation sector, necessitating the development of advanced inspection technologies and their potential applications. Conventional industrial inspection methods are hindered ... read more of Foreground-Aware Knowledge Distillation for Enhanced Damage Detection