Know-How AI Machine Learning
Bilderkennung zur Verbesserung der Instandhaltung

From Pixels to Predictions

Tra­di­tio­nal main­ten­an­ce often reli­es on manu­al inspec­tions and sche­du­led check-ups. While the­se are useful, they can be time-con­sum­ing, pro­ne to human error, and they risk to miss the ear­ly signs of poten­ti­al fail­ures. As a result, orga­niza­ti­ons are incre­asing­ly tur­ning to advan­ced tech­no­lo­gies to imple­ment proac­ti­ve main­ten­an­ce stra­te­gies.