Augmented reality for network maintenance
eleven supported the creation of a solution to help non-experts maintain fiber optic networks using computer vision and augmented reality…
Thanks to their knowledge of reinforcement learning and generative design methods, Eleven’s consultants have helped a major player in sprinkler installations (fixed sprinkler installations) to considerably reduce the steel requirements for the production of networks at the client’s premises, in particular by limiting the amount of unusable raw material scrap and therefore overproduction at the suppliers’.
In addition to resource savings, this new “data augmented” production model has saved over 17,000 hours of work time for the engineers thanks to improved operational efficiency, and a 20% increase in projects won thanks to a faster, more accurate and more appropriate response to calls for tender.
Reduction in the amount of steel needed to produce sprinkler systems
saved per year in engineering time
more projects per year for the customer
Reduced unusable scrap and overproduction at suppliers
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