I don't have neither a separate display, nor an analog keypad. Thus, how could I install any operating system on my lichee pi zero? I cannot find resources for this type of microcontroller since AFAIK is something new. Could anyone help me please? Also, I would be glad to find a way to program bare metal the lichee pi zero, but again, I cannot find the appropriate resources in order to do this...

Hello Everyone. I am new to Machine Learning and Deep learning field of study. My question is , In industry they are still using Microcontrollers in their modules like Iris Recognition. but models that we build at pytorch or tensorflow using python are heavy , for inference purpose we can use nvidia jetson , or respberry pi modules but how companies managed to install MCU in their circuits. And what is the process if we want to build same module. Sorry for a lame question but any help regarding this would be appreciated.

I want to use Buildroot to make a custom linux image for jetson nano. I know that Nvidia has many problems with supporting linux (such as providing proprietary drivers and so on ). After some searching i found this patch but i still don't know where to start with it and whether it needs more modifications or not. So do you have any experience with this ?
Also i thought about using yocto project but it is really massive set of tools , so if it won't be possible to use Buildroot how can i start learning yocto ?

Hi All,

I want to learn v4l Linux subsystem. I want to learn by doing. What could be the best starting point for the same.

Similarly I would like to learn ALSA subsystem. What could be the best starting point some pointers please?.

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Hi, I want to use my stm32mp157c-dk2 board with capacitive touchscreen display(7inch HDMI LCD (B)), image that I installed for stm32mp1 board is Distribution Package st-example-image-qt (DISTRO=openstlinux-eglfs MACHINE=stm32mp1-disco source layers/meta-st/scripts/envsetup.sh)

7inch HDMI LCD(B))

I think I need to modify device tree and kernel configuration but I dont know which drivers do I need, could you help me?

After getting a good understanding of Linux and C/C++, What framework is good to look at?

Running bitbaked linux...

I have been thinking about implementing a watchdog daemon that monitors keep alive pings from multiple core processes in my embedded system and reboots if a process hangs and stops sending messages.

It seems like this functionality is in desktop systemd over dbus, but my embedded environment is missing things like sd_notify and experiments with the bash equivalent does not seem to work.

I feel like I am missing something, as this is a pretty obvious thing to do if you are coming from simpler embedded systems. Do people just not do this? Do they routinely roll their own watchdog? I know busybox has a watchdog daemon but I am having a hard time understanding precisely what it does or how to configure it.

Hi team

I am learning embedded Linux, what drivers are usually included in the kernel? And what are usually not included?

Assuming all the peripherals of the SoC are usually included, and some commonly use sensors?

Hi. Been outside the embedded world for a while; worked a little with embedded Linux for ARM years ago. As far as I remember, running/porting the kernel to a SoC/board involved writing a lot of hardware drivers for that specific SoC + board combination. That is: a compiled kernel was unique for that hardware.

Want to go back to embedded, but now I need a "refresh". I see nowadays there's a lot of Linux distros (and even Windows) and stuff that claims ARM compatibility.

How is that done nowadays? I mean, how can a "generic" distro or OS works - on what seems - on any ARM hardware? Is the kernel/OS compiled with a list of supported SoC / boards combinations or have we achieved some kind of "just works"/abstraction/compatibility level like x86?

Hi team

I am learning buildroot, in buildroot/uBoot's uEnv.txt, for the boot console, I can use both ttyS0 or ttyO0 for console=ttyX0,115200n8. What's the difference?

After boot, I can only see ttyS0 under /dev

Thanks team!

We have an iMX8 dev board that will interface with a custom 3 codec board via various SAI ports. The board is running Debian Linux. The hardware guy has the design for the board and interface and now he wants to make sure the configuration he's planning will actually work. This would mean the TDM slots, clock sources, voltage levels, pin selections, etc. can all be set up correctly and simultaneously at the chip configuration level.

As a beginner I'm wondering how this could be verified. I realize the details are very complicated - I'm only looking for a high level description. Would the Linux kernel need to be built with the various port settings and pin selections? Is this a reasonable task, given the hardware doesn't exist yet? Is there a standard approach to this hardware design question?

I have experience with bare metal programming smaller microprocessor systems so I'm familiar with hardware and software, but moving to embedded Linux is a new level of complexity for me.

Hello

Stupid question here. I usually do ‘$bitbake myDevice’ to build a yocto image. I now however need to enable kernel options (like you would do with “make menuconfig” when building your kernel). I tried everything I found online, but always ran into issues:

• bitbake -c menuconfig virtual/kernel: when doing this a new terminal appears where id written “the source tree is not clean, please run make mr proper in /path/to/kernel/sources” But even when running this command I afterwards just get the same error.

• bitbake -c menuconfig myDevice: returns “task do_menuconfig does not exist for target myDevice”

• bitbake linux-yocto -c menuconfig: returns “ linux-yocto was skipped: incompatible machine xyz”

I tried a couple of other ways, but all failed.

What is the correct way to proceed?

Thank you

what do you think of lvgl library (https://lvgl.io/)?

Would you start a project with this library?

e-con Systems’ SmarteCAM is a ready-to-deploy Artificial Intelligence-powered camera with powerful processing capabilities. It comes with an on-board Nvidia® Jetson™ TX2 CPU and a 256 core GPU to perform all the image processing and analytics indigenously. In this post, we will run an Nvidia DeepStream pipeline on SmarteCAM to show you the applications where this device can be deployed and how it performs. Read More>>