Loading...
Loading...
Browse all stories on DeepNewz
VisitWhich region will see the first implementation of EPFL's AI method for crack detection by December 31, 2024?
Europe • 25%
Asia • 25%
North America • 25%
Other • 25%
Press releases and official announcements from railway companies
EPFL Researchers Develop AI Method for Crack Detection to Enhance Railway Safety
Sep 30, 2024, 04:23 AM
Researchers at EPFL have developed an innovative method for detecting and monitoring railway track irregularities using convolutional neural networks (CNNs) and conformal prediction techniques. This advancement in artificial intelligence (AI) aims to enhance railway safety by making inspections more efficient and objective. The study utilizes high-fidelity sensor data from high-speed trains to identify cracks and other irregularities, thereby addressing a significant challenge in railway maintenance. The research was highlighted by TechXplore.
View original story
Europe • 25%
Asia • 25%
South America • 25%
Other • 25%
North America • 25%
Europe • 25%
Asia • 25%
None • 25%
North America • 25%
Europe • 25%
Asia • 25%
Other • 25%
North America • 25%
Europe • 25%
Asia • 25%
Other • 25%
Public Infrastructure • 25%
Commercial Real Estate • 25%
Residential Construction • 25%
Other • 25%
North America • 25%
Europe • 25%
Asia • 25%
Other • 25%
North America • 25%
Europe • 25%
Asia • 25%
Other • 25%
North America • 25%
Europe • 25%
Asia • 25%
Other • 25%
North America • 25%
Europe • 25%
Asia • 25%
Other • 25%
North America • 25%
Europe • 25%
Asia • 25%
Other • 25%
North America • 25%
Middle East • 25%
South America • 25%
Other • 25%
London • 25%
North West • 25%
South East • 25%
West Midlands • 25%
No • 50%
Yes • 50%
No • 50%
Yes • 50%
Yes • 50%
No • 50%
Enhanced safety • 25%
Other • 25%
Efficiency in inspections • 25%
Cost savings • 25%