I recently purchased an Arduino Media Carrier board for the Uno Q and decided to try it out with the Uno Q that I won in the Show & Tell Contest. I'd like to try out some facial recognition and audio IO applications before receiving my Ventuno Q RoadTest kit.
I'll have to admit that I'm really disappointed with the current Arduino support for CSI cameras for the Uno Q (through 2 connectors on the Media Carrier) and Ventuno Q (through 3 onboard connectors). The Uno Q currently only supports the RPi Camera Module 2 IMX219. I read on the forum that there have been issues using a Waveshare IMX219 board. The Ventuno Q only supports an Arducam IMX577 4- lane board. As geralds and others have discovered an Arducam IMX577 2-lane board will not work. The RoadTest kit includes a RPi Noir Camera board. If that is a Module 2 with an IMX219, I have read that there is a community based solution that should work with the Ventuno Q, but there is no official support.
I have a few RPi 1.3 and 3 cameras, but I had to take apart a project to free up a Module 2 with the IMX219. I also have a DFRobot IMX219 board, but decided to try something that is supposed to work first.
Here's my setup with the IMX219 and the Media Carrier - plugged into the camera0 connector.

I printed a simple snap on baseplate to hold the Uno Q + Media Carrier assembly.. It turns out that the Media Carrier is the same dimensions as the Uno Q board and it has no mounting holes - so there's nothing to attach to when it is plugged on the bottom of the Uno Q. Not sure how it was intended to mount in a case.

Here is a side view. The sides are cut out for access to the audio, CSI, and DSI connectors. I decided not to print a complete enclosure.

And a view in my work area.

I decided to do a quick proof of life before I started to try creating any new Apps. Here is a quick test using the Detect Objects on Camera example.
The only thing I had to configure is to enable the Carrier in Board extensions and set camera 0 to type1-2lanes. I did not have to modify the example at all.

And a quick video showing it working.
It looks like I'll need to adjust some of the camera settings for exposure, brightness, and contrast. I'll do that within the new app.
Hopefully, the next post will have Facial Recognition and audio.