Getting started with tinyML with Imagimob AI and IAR Embedded Workbench

Getting started with tinyML with Imagimob AI and IAR Embedded Workbench

Getting started with tinyML is now easier thanks to a tight integration between Imagimob AI and IAR Embedded Workbench. IAR Systems is the world's leading supplier of software and services for the development of embedded systems, and has more than 46 000 customers who are located across the entire globe and in a number of different industries. 

tinyML is defined as the market where trillions of intelligent devices enabled by ultra low power microprocessors can sense, analyze and autonomously act together on real time physical data to create a more sustainable and safer environment.

tinyML is broadly defined as a fast growing field of machine learning technologies and applications including hardware, algorithms and software capable of performing on-device sensor data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices. Many people claim that we have just begun to scratch the surface on how tinyML will impact people’s everyday lives.

The video below gives an overview on how a tinyML application (key spotting application) can be created from a starter project in Imagimob AI to a final embedded application in IAR Embedded Workbench for Arm and deployed on a ST SensorTile device using the SensorTile.box multi sensor development kit from ST (STEVAL-MKSBOX1V1).

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