3 practical business cases in asset and maintenance management
For decades ground radar has been the great promise for soil mapping, to prevent excavation damage to cables and pipes. Interpreting the radar images, however, is such a painstaking job that VolkerWessels subsidiary MapXact almost stopped using ground radar altogether, until they started working with artificial intelligence.
Gerben Roseboom, Managing Director, MapXact
Tens of thousands of coarse-grained radar images that must be interpreted to distinguish the cables and pipes from the disturbances caused by stones, tree roots and other disturbances.
BrainMatter quickly learns to recognise ground radar images, classifying anomalies according to the learned taxonomy.
BrainMatter quickly learnt to analyze radar images in 5 minutes instead of 3 days, with a higher accuracy.
Download the case study and find out how BrainMatter's Intelligent Automation analyzes radar images in 5 minutes instead of 3 days, per area, with higher accuracy.
Anything that can be perceived and interpreted is applicable for intelligent automation.