Case Study: MOVALSYSObjective:The customer wanted to automatically detect the footfall of people walking or running using the signal from an accelerometer.Challenge:The varied rhythm and stride among the users made it difficult to identify footfall patterns in the...
Case Study: BSHObjective:This comprises detecting and locating paint flaws when manufacturing fridges. Challenge:The flaws might be tiny compared to the size of the surface to be analysed and they might be occasional or appear all over the surface texture....
Case Study: SKFObjective:The customer wanted to detect manufacturing flaws in bearings.Challenge:The parts to be inspected had previously been through a process that might leave grease marks that were very similar to the flaws to be detected. The presence of these...
Case Study: AUDENASAObjective:The customer needed to classify the vehicles driving on its toll roads to be able to apply different tariffs. In total, the AI had to differentiate up to 7 types of vehicles depending on the number of axles, wheels, trailers,...
