Optimised C-Code Generation for Ultra-Efficient tinyML Applications

Presented by

Johan Malm, ML Developer, Imagimob

About this talk

Writing C code for embedded systems is known to be slow and error prone. The solution? Imagimob Studio. It can turn a .h5-file containing a machine learning model into C code with only a click of a button. Optimizations for new AI accelerators and new network layers are easily added to Imagimob Studio. The C code can run on any platform since no external runtime libraries are needed. This talk uses different applications from real customers as examples, such as audio applications, condition monitoring and gesture control.

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