6G-XR
6G-enabled and AI-based proactive quality control in manufacturing domain: experimentation in the metal cutting processes
In this proposal is tested the performance of an AI-based anomaly detection system, esp. the technical characteristics in the case that the systemis applied in a complex manufacturing environment (like metal cutting lines) where many unusualities can happen simultaneously.
Type of experiment:
Pilot
Functionality:
Cloud-Native Architecture
Maturity:
Location(s):
Serbia
Vertical sector(s):
Industry 4.0/ Manufacturing
Industry 4.0/ Manufacturing
This use case is replicable
Degree of replicability1:
85
1According to the Replicability Assessment Tool
High level of replicability : 61 < LR < 80
Good level of replicability: 31 < LR < 60
Low level of replicability: 00 < LR < 30
Project Open Call 3rd-party funding
6G-XR
Duration:
GA Number:
101096838
SNS JU Call (Stream):
Call 1
Stream C