Stockholm, January 28, Crosser teams with Scania and University of Linköping for a VINNOVA research project regarding large-scale edge analytics with federated machine learning models.
The use of machine learning (ML) models is becoming more and more common in industrial IoT applications, especially for use cases such as anomaly detection and predictive maintenance. ML models are typically trained in the cloud using large stored datasets and iterative processing on powerful servers.
Vision Inspection for Industrial IoT. Powered by Edge Analytics.
Using video cameras as sensors in industrial IoT applications is becoming more and more popular. The reason is of course that it opens up for many interesting applications.