XTREMESTREAM: Embedded machine learning of IoT streams to promote early detection of unsafe environments


XTREMESTREAM: Embedded machine learning of IoT streams to promote early detection of unsafe environments: proposes the development of an embedded Artificial intelligence solution for the early detection and screening of high-risk conditions in industrial environments, especially for gases emissions, volatile organic compounds and other environmental conditions as vibration, high temperatures and long-term high humidity exposure.

 

Information source: kitt4sme



Project:

Sector
Industrial

Keywords

Risk conditions, gases emissions,  volatile organic compounds,  vibration, high temperatures, long-term high humidity exposure