How to program matter credentials into mass-produced products

RE: How to program matter credentials into mass-produced products

SunHuang — Tue, 29 Oct 2024 03:55:25 GMT

Hi Maria,

I have successfully set up the environment, thank you for your reply

RE: How to program matter credentials into mass-produced products

SunHuang — Mon, 28 Oct 2024 07:56:58 GMT

Hi Maria,

Sorry,Please ignore the version issue of the screenshots.

But I don’t know how to set the "zephyrrc.cmd" parameters, such as: "GNUARMEMB_TOOLCHAIN_PATH" path.

Can you provide the correct approach?

RE: How to program matter credentials into mass-produced products

Maria Gilje — Thu, 24 Oct 2024 14:32:49 GMT

Hello,

The command-line build environment is set up by the Toolchain Manager application when opening a command prompt from the application UI. For a command prompt opened from elsewhere, you need to set up the build environmernt like described in the nRF Connect SDK installation documentation here (v2.7.0). You could also need to check that the command prompt calls the correct Python instance. See the overview of all tools requirements and versions here.

I notice that the nRF Connect SDK version in the Toolchain Manager and the command prompt have different nRF Connect SDK versions. Building a project from one nRF Connect SDK version in another one can cause errors (i.e. a project from v2.7.0 in v2.6.1).

BR,

Maria

RE: How to program matter credentials into mass-produced products

SunHuang — Thu, 24 Oct 2024 07:05:17 GMT

Hi,

Before using generate_nrfconnect_chip_factory_data.py, I had to use the nRF connect open command tool.

Otherwise the following error will occur. How to improve it?

RE: How to program matter credentials into mass-produced products

Maria Gilje — Mon, 21 Oct 2024 13:18:55 GMT

Hello,

We don't provide a solution for mass generation or programming factory data because this process can differ between users. We provide the simplest solution, or recipe, which users can adjust according to their needs.

The scripts we provide can be used as a reference for creating your own scripts for generating factory data for and programming multiple devices. A Python wrapper is a possible solution if only a few parameters differ between devices.

Best regads,

Maria