This thread has been locked.

If you have a related question, please click the "Ask a related question" button in the top right corner. The newly created question will be automatically linked to this question.

IWR1443: detecting and differentiating speed of approach by stationary sensor

Part Number: IWR1443

We will have a stationary sensor and would like to detect speed of approaching household beings (e.g. humans, pets) to highest accuracy, refresh rate, and range as possible.  Interested in initial support to direct us to the easiest path to achieve and demonstrate this.  Thanks!

  • Dear Ryan:

    To start out with I would get the Out of Box Demo up and running for the IWR1443. To do this go to TI Resource Explorer. Once there follow this path:

    Software/mmWave Sensors/ Industrial Toolbox(4.2.1)/Labs/-Out of Box Demo-/14xx-mmWave SDK Demo/ Setup Guide.

    The user's guide PDF at the end of the path will give you step by step instructions on who to get your device up and running. I would suggest looking at the plots that it gives and play around with it. Let me know how it goes!

    Best regards,

    Connor Desmond

  • Hi Connor,


    Is there a way to get it to log x/y position and/or speed of objects to a text file or similar?  Right now we are only able to watch the constantly updating value on the GUI.  We will need to compare data over time in various situations to evaluate properly.

    Thanks!

    Ryan

  • Dear Ryan:

    There is no direct way to export data from the visualizer for further processing as of now. What I would suggest is to view the User's Guide and see how frames are sent over UART using TLV packets. Understand how these packets are structured and have an application that is capable of parsing the binary data for further processing. The visualizer does this and may give some inspiration. Use GUI Composer to view .js code of the visualizer to see how it parses the data. Let me know how this goes.

    Best regards,

    Connor Desmond