Imagimob AI Texas Instruments radar tinyML
10/05/21

Imagimob announces content pack for Texas Instruments mmWave Radar sensors IWR6843AOP and AWR6843AOP

tinyML content pack for Texas Instruments radar

This content pack will allow developers using Imagimob AI to quickly and easily prototype, develop and test a range of machine learning applications (tinyML) based on Texas Instruments’ mmWave radar sensor.

The Texas Instruments IWR6843AOP and AWR6843AOP are single-chip 60-GHz to 64-GHz radar sensors integrating DSP, MCU and radar accelerator for automotive and industrial applications.


The radar sensor is integrated with Imagimob Capture Server which means that it's easy to collect more data. By collecting more data, the current AI-model can be improved, and new AI-models/applications can be created.

The content pack includes:

  • Trained AI-model (in h5-format) for gesture recognition
  • Annotated datasets with metadata (video) for gesture recognition
  • Pre-processing blocks necessary to generate highly performing & efficient edge-models
  • Capture server with full support for capturing multipoint data
  • Python-script that allows for live testing of applications on a PC


Have a look at some videos produced by Texas Instruments:

Enabling TinyML in embedded mmWave radar systems

TI mmWave enables intelligent in-cabin gesture detection with Imagimob’s software platform


Learn more about the IWR6843AOP and AWR6843AOP radar sensors here:

https://www.ti.com/product/IWR6843AOP

https://www.ti.com/product/AWR6843AOP



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