AI to predict brake pad wear without any extra sensors. Saving the environment!

[#1]

Team Name	Sigma Technology Insights
Track	Manufacturing
Use Case	Our use case will show how we can use captured data from sensors together with machine learning algorithms to perform a more precise prediction of when different consumable parts (like brake pads etc.) need to be replaced. The target for this is to reduce unnecessary waste of such parts by too early replacements while still keeping a required safety margin before the parts are completely worn out. The team will be run by Sigma Technology as a SAS partner in cooperation with Volvo Group.
Technology	AI / Machine learning
Region	EMEA
Team lead	Henrik Wern
Team members	@HenrikWern @J_Tillström  @JonasLindberg  @SaraRoth  @DhanyaBabu  @KusumaPothugant

[fikramulla2]

wow. 🏎🏎🏎 quick question - what is meant by 'without add'l sensors'? actually dont tell me, i think i get it now.  good luck! 🏆