• Home  >  
  • Perspectives  >  
  • Case Study  >  
  • Automated asset maintenance to achieve 90% accuracy for an American railroad company  

CASE STUDY January 22, 2022

Automated asset maintenance to achieve 90% accuracy for an American railroad company

TAGS:

Tiger Analytics brought a legacy of expertise to develop advanced Deep Learning models using Computer vision techniques. It ensured the seamless automation of asset maintenance and fault detection. The solution identified defects like track repair, missing bolts, wheel defects and more with tremendous accuracy…

Download the full case study shp-arrow-topright-large

Copyright © 2024 Tiger Analytics | All Rights Reserved