Building an Image-classification Library for Deep-learning Algorithms
The purpose of BILDA is to improve the detection rate of the detection algorithm we use.
Until now, the detection rate has been too low for it to be possible to use only analyzes from the algorithm.
This means that a third party must manually verify data that the algorithm cannot approve on its own.
By creating an application where other people can verify the data from the algorithm by simply swiping on images,
it is expected that the detection rate can be improved with up to 95% accuracy,
which will drastically reduce resources spent on manually verifying the data.
Tjenester
Bolometric Scanning
With the help of drones equipped with microbolometers and our own system for calibration against meteorological phenomena, we get an effective overview of exposed areas where moisture is (or can become) a threat to compact materials.
Scroll down for a demonstration.
Inspections
With us on your team, inspection jobs are unproblematic and painless.
What used to take days to map out can now be done in just a few hours. Today's technology makes risk calculation and weaknesses detection in structures a trifle.
