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lemariva

a good point there! ;) No, it doesn't.
I used two steppers to turn the aperture and the focal length rings of the lens independently. Then, you can set the aperture ring to 1.4, 2.8, 5.6, 8, or 16 and then focus the image with the other ring/belt. Both rings or belts move independently. In the beginning, I used a calibration routine to identify the maximal or minimal position of the rings. Both limits are detected by moving the rings in both directions and measuring the stepper currents. When the stepper reaches a limit, a current peak is measured, and that gives me the minimal o maximal angle.
Not only, if has an autofocus option (--autofocus flag). However, you cannot select the focus area (or focus points like in a pro camera) :(. But, the autofocus function is implemented and works nicely.
You mean using this hack: https://blog.robertelder.org/recording-660-fps-on-raspberry-... I didn't check that yet, but using the provided software and the flag (--framerate), I got the following timestamps: # timecode format v2 0.000 8.329 16.657 24.987 33.316 41.644 49.972 58.302 Meaning that the camera is working at max. 120fps@640x480
I thought you were talking about my "autofocus" project (https://www.youtube.com/watch?v=PrbyPmq_Z7Q). The arducam-12mp-pan-tilt-zoom uses the same sensor (IMX477) as the HQ. Thus, the resolution claim should be the same ;).
ArduCAM claims that it's better (see https://www.arducam.com/wp-content/uploads/2021/10/camera-mo...). It has better resolution (16MP vs 12.3MP). However, the HQ has better changeable lenses available. I'm updating the rPIFocus (https://github.com/lemariva/rPIFocus) repository to include the camera and test it. The autofocus speed will be definitely faster :).
I tested both options (--shutter and --gain) and they are working as described here: https://www.arducam.com/docs/cameras-for-raspberry-pi/raspbe...
That can be also done. The pins are there (as you can see on the board design). I just wanted to separate the threads. It was easier to control the steppers with the M5Stack.
The AI part is working (I am actually training a model to identify different birds). The spin around could be a next update. :)
problem solved, I updated the plugin and it was misconfigured