Tiny Machine Learning kit shield

Hello,

I bought and already received the new Tiny Machine Learning Kit: Arduino Tiny Machine Learning Kit
I would like to understand how the shield is wired, could you please publish some document that explains the pinouts, ideally a schematic? Another question is: what connectors are those: Grove? Stemma?

Thank you!

Hello,

regarding the Connectors the support told me that:

"Hello Patrick,

Thank you for getting in contact with us.

The Tiny ML shield can connect to Groove sensors on them.

Have a nice day.

Best regards,
Joyal John
Arduino Support Team"

I am also interested in a schematic.

I have tried to get the ov7675 camera to work following this blogpost:

This should be the way to output the image from the camera with the tiny machine learning shield, but i can´t get it to work. Is there another official library or way to get it to work?

kind regards

Hi,

I have purchased the TinyML kit and connected Arduino Nano BLE Sense as well as the camera on the shield.

As I want to make it work standalone,

How can I connect the shield with rechargeable small sized battery ?

What are the input operating volts for the highest load functionality deployed on Nano BLE ?

As I am new to Arduino I would highly appreciate any help on this !

Best Regards

Hello!
I noticed that the OV7675 camera board that came with the Tiny Machine Learning Kit has wrong silk screen writings about pin D0 and D1 (they are inverted).
However the default solder jumpers on the kit shield route them to the correct Arduino pins anyway.

My OV7675 board:

Correct silk screen:
https://www.arducam.com/docs/camera-breakout-board/0-3mp-ov7675/hardware-guide/

There are detailed tutorials covering allmost every aspects of TinyML on Arduino 33 BLE Sense. You may subscribe to this channel Machine Learning on Arduino BLE Sense - YouTube

@nebelgrau in case you are still looking for how the shield is wired, I found this.

When I try to wire the OV7675 camera directly to the nano board, I get weird pictures (see below). Anyone knows what could be the reason?

Screenshot