I Have played with Uno boards for a couple of years - got up basic WiFi IOT stuff etc.
Also have coded Python on a rasberry pie.
I just got the Arduino Q. Sounded exciting - after all it had both! But, coming from the position of liking making things blink or move etc, I didn't know how the Linux side woud make it better.
I was looking at the examples on Applabs. Most of these seem to be able to be done with just arduino C+ in the IDE? Take Blink, for example,
I understand how the Linux Python code communicates with the Arduino side but it just makes it much more complicated than just the Arduino.
Can peole oint me to some tangible examples of an arduino/Linux app that could not be possible (or as good) without the LInux being art of it?.
I would say that all the Camara, functions like the face recognition, the object detection and the bar code and QR recognition could not be done on anything else except the Uno Q.
The closest you can come is using a Raspberry Pi computer, and their latest Operating system has made that machine almost unusable.
A French user (@philippe86220 ) posted this "Person detection via webcam" sample code
Project objective:
-> Person detection via webcam (Video Object Detection)
-> Turn on the LED for 10 seconds after each detection
-> Python ↔ STM32 interaction via Bridge.
Writing this in C++ on a simple arduino (without access to the python bricks and power of the linux side) would be quite a task compared to the few lines of codes required there (56 lines of python and 30 lines of "arduino" C++ - with spaces and comments).
I'm sure you can get a good translation from any AI or see the simplicity of the code in the GitHub repository.
Basically it made me realise how to wire up the hardware interface for a network solution. It is not what I thought it was.
I haven't got all applications to work successfully yet, but I can see where I am going wrong with some. This mainly covers the cloud which I have never used before.
From my perspective there are a world of possibilities and the existing examples in App Lab today are thin and probably not as helpful in answering your question as what I expect will be available in a few months. The edge AI examples in the product launch is what made me curious initially. Now that I have had the board for a while I find that for now I am more interested in exploring the WebUI-HTML brick and the WebUI-Streamlit brick. I was only looking at the WebUI-HTML brick last night and if you start a new project and add the brick you will find very basic examples of usage in the documentation for the brick within App Lab. I have not looked into the WebUI-Streamlit brick yet but I expect they may have some simple examples in there too. I think this has the potential for easy development of projects that are easily controlled through a web interface without the burden of having to write javascript.
While exploring the WebUI-HTML brick I was able to load files onto the MPU side using samba (this allows one to share the ArduinoApps directory with a windows machine so one can use the file explorer on Windows to add files and folders to the file system on the Uno Q). That is something one does not have access to on earlier Arduino boards or on ESP32 boards. It is also possible to access the Uno Q via SSH and use Linux commands via SSH. These things greatly enhance the versatility of Uno Q over any other Arduino.
I expect the documentation will be enhanced over the coming months.
Edit:
There were no simple examples in the WebUI-Streamlit brick and the only example I could find online was not entirely in English so have created a fork of an example. My fork has English captions an I started a new topic regarding it.