In the demonstrator, possibilities for the application of embedded ML are shown. For example, sounds are recognized and processed directly on a small device:
"Tiny Machine Learning - tinyML" is broadly defined as a rapidly growing field of machine learning technologies and applications that includes hardware, algorithms, and software capable of analyzing sensor data on the device at extremely low power, typically in the mW range and below, enabling a variety of "always-on-cases" and targeting battery-powered devices.
Specifically in the "AUDIO" application, the tinyML recognizes and detects sounds and can distinguish between them. Whether it is ordinary talking, typing on the keyboard or snapping - the tinyML recognizes it!