@ganeyvim Type B

Seem ok now

Try using a PAhub but it could be a power issue.

Ok i kept trying it and despite the leds not showing like the video evenutally it did work.

Not sure if it a co-incidence or not but for other people it worked when i was powering it up direct from a usb charger as opposed to plugged into my macbook usb c port

@m5stack Why is this link dead?

Hey, guys. I hear the same sound whether we make an RFID module, USB module or GPS module. When communicating with any of them, the sound is heard.

And in my opinion, it is not the sound from the speaker, because it can be heard even if I turn off the speaker software (and even if I disconnect it completely). The beeping is coming from some components...

Hello @microdynasty

I think in UIFlow, when a unit is added, part of the internal initialization, e.g. what's happening when below line is executed, is to check for the two sensors in the ENV III unit, which in your case results in the I2C error.

env20 = unit.get(unit.ENV2, unit.PORTA)

Hmm, I can see what you mean about ENV III being compatible, but I wonder if M5Stack meant after ENV III has been added in UIFlow?

Sorry, I don't know enough about MicroPython to help you, but maybe have a look at the Arduino example to get an idea about the I2C commands required to read data from that sensor?

Good luck!

Thanks
Felix

@ganeyvim said in "m5stacks core" Compatible units:

rf433

Have you tried digikey?
https://www.digikey.com/en/products/filter/rf-evaluation-and-development-kits-boards/859?s=N4IgjCBcoLQdIDGUBmBDANgZwKYBoQB7KAbRACZKIBdAX1oPNJAFsBWLAFzUQGsQ6QA

@gaviota The M5camera (as apposed to the M5Timer camera) has firmware programmed under arduino and so you need to install arduino and the camera libraries to reprogram the firmware.

@felmue Thank you so much, you've saved me hours of trawling.

@aminekh Hi, I am adding some related information, as I am researching this topic too.
I have just watched this webinar https://www.hackster.io/videos/941 (Image Detection with M5Stack UnitV2) and found it interesting. It shows also how to use custom python jupyther notebooks https://jupyter.org/ with unitV2; more info about that here https://docs.m5stack.com/en/quick_start/unitv2/jupyter_notebook.
There is a V-training online platform https://docs.m5stack.com/en/quick_start/unitv2/v_training to create a custom object-detection model that can be later uploaded in the device web page.