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.
With you all the way from evaluation to production.
The Edge of Automation
Optimized for smart appliance and machine / home / building condition monitoring
Production grade machine learning platform for IoT development
Supports industry standard OpenCV machine learning algorithms
One platform for Machine Learning from concept to implementation
Technology Under the Hood
Micro-SD
UART & I2C
PIR Sensor
RHT Sensor
Motion sensors and pressure sensor (on bottom of board)
Ambient Light Sensor
VOC Air Quality Sensor
SPI
MEMS Mic Port
USB Type C
