Condition monitoring is a major component of the predictive maintenance systems, allowing production performance improvement, maintenance cost reduction and a drastic decrease of the downtime due to routine maintenance, especially in an Industry 4.0 framework.
Since few weeks, a new firmware package developed by ST and Cartesiam is available: the FP-AI-NANOEDG1. It helps to jump-start the implementation and development of condition monitoring applications designed with the NanoEdgeAI Studio solution from Cartesiam: this tool simplifies the creation of autonomous Machine Learning libraries with the possibility of running not just inference but also training on the edge. It facilitates the integration of predictive maintenance capabilities as well as the security and detection with sensor patterns self-learning and self-understanding, exempting users from advanced skills in mathematics, Machine Learning, data science, or creation and training of Neural Network.
Have a look at the Cartesiam dedicated partner page for more information.
