FIDAL
OC22
The 5G4ZDM project aims to improve defect detection in EV battery manufacturing by introducing a network-based computer vision solution enabled by 5G. By using the FIDAL platform and a private 5G network for testing, the solution is designed to provide reliable, low-latency communication and high data throughput, key requirements for real-time inspection in time-sensitive manufacturing environments.
Functionality:
Ultra-Reliable and Low Latency Communications (URLLC)
Maturity:
Location(s):
Greece
Vertical sector(s):
Industry 4.0/ Manufacturing
Industry 4.0/ Manufacturing
This use case is replicable
Degree of replicability1:
48
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
FIDAL
Duration:
GA Number:
101096146
SNS JU Call (Stream):
Call 1
Stream D