Nature

Automated Crack Detection in Civil Infrastructure Using Deep Learning

Automated crack detection in civil infrastructure has emerged as a transformative tool in maintenance and safety assessment, utilising advanced deep learning techniques to identify and quantify ...
Purdue University

System automatically detects cracks in nuclear power plants

WEST LAFAYETTE, Ind. – A new automated system detects cracks in the steel components of nuclear power plants and has been shown to be more accurate than other automated systems. “Periodic inspection ...
sciencex

Introducing Road Painter, an advanced model for road crack detection with high-quality generative image synthesis

RoadPainter introduces a pioneering model that, through semantic image synthesis, represents a substantial advancement in reducing data collection costs and annotation efforts, offering a ...
Purdue University

System uses ‘deep learning’ to detect cracks in nuclear reactors

WEST LAFAYETTE, Ind. – A system under development at Purdue University uses artificial intelligence to detect cracks captured in videos of nuclear reactors and represents a future inspection ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
National Academies of Sciences%2c Engineering%2c and Medicine

AI Applications for Automatic Pavement Condition Evaluation

Road networks are important assets that need to be maintained at a reasonable degree of service through routine maintenance and rehabilitation treatments to address the progression of deterioration ...
The Next Web

FOMO is a TinyML neural network for real-time object detection

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...