NXP Machine Learning Anomaly Detection
Integral to the IoT is the concept of sensors or edge nodes being programmed—or “trained”— to detect and report issues, based upon information extracted from vibrations, acoustics, pressure, etc.
NXP simplifies this process by providing a framework that handles the complexities of sensor sampling, feature extraction and machine learning.