NanoEdge AI™ is a library using artificial intelligence to create data models based on signals acquired by sensors such as motion and vibration sensors, environmental sensors, microphones and image sensors directly inside microcontroller and allows detection based on embedded constitute knowledge.
With NanoEdge AI™ developers can easily integrate local AI training and analysis capabilities into C code, optimized for STM32 microcontrollers.
NanoEdge AI™ runs autonomously in the micro-controller both for the learning phase and for the on going analysis. This brings the power of Machine Learning right where the data is created.
If you cannot pre-define the shape of what you are looking for and you need to learn and build knowledge « on the fly » then NanoEdge AI™ is best suited for your needs and will seamlesly perform autonomous anomaly detection.