Cognitive machines for anomaly detection
Reference number | |
Coordinator | Kogma AB |
Funding from Vinnova | SEK 300 000 |
Project duration | May 2017 - November 2017 |
Status | Completed |
Venture | Innovative Startups |
Important results from the project
The project´s aim was to develop a prototype for anomaly detection and fusion of data from heterogeneous sources.
Expected long term effects
A fusion prototype has been developed.
Approach and implementation
System development, tests, and customer discussion have taken place.