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Today's Topics:
1. Re: Using Motion to compare still images as they are captured
(folkert)
----------------------------------------------------------------------
Message: 1
Date: Fri, 12 Jun 2020 08:43:56 +0200
From: folkert <[email protected]>
To: Scott Barton <[email protected]>
Cc: "[email protected]"
<[email protected]>
Subject: Re: [Motion-user] Using Motion to compare still images as
they are captured
Message-ID: <[email protected]>
Content-Type: text/plain; charset=us-ascii
Scott,
Do you mean retrieving a jpeg from a filesystem and then compare that?
On Thu, Jun 11, 2020 at 06:48:45PM +0000, Scott Barton wrote:
> Is there a way to use the Motion detection software to detect major
> differences between still images? If not, can this feature be added? I
> believe there would be a significant demand for it.
>
> The use case for this is in 3D printing where when a print fails, it results
> in a major change in the image, but normal printing just does nominal updates
> that could easily be filtered out with the settings to the Motion software.
> 3D Printers can use software called OctoLapse running on a Raspberry Pi that
> takes pictures to make very smooth time lapse videos by positioning the bed
> and printer head in the same spot for each picture after each layer is
> printed. Because printed layer heights are very small the change from picture
> to picture would be minimal during normal printing. But when a print fails
> it results in huge immediate changes in pictures. Because 3D prints can take
> several hours (even days) and are often done not under constant supervision,
> when a print fails you can waste several hours and a lot of filament as the
> 3D printer continues to print the failed print until noticed or finished.
> Being able to detect a failed print and getting notified early on would be a
> HUGE advantage for all 3D printers.
> https://plugins.octoprint.org/plugins/octolapse/
>
>
> Examples of timelapse 3D printing video fails. You could see how Motion
> detection software could fairly easily detect early on when the failure
> occurs. Just need a way for the software to compare images as the come in
> (saved to a specific directory on the Raspberry Pi) instead of analyzing a
> video stream.
> https://www.youtube.com/watch?v=ZGOq9X5J97k
> [https://i.ytimg.com/vi/ZGOq9X5J97k/maxresdefault.jpg]<https://www.youtube.com/watch?v=ZGOq9X5J97k>
> 3DBenchy Octolapse - Fail<https://www.youtube.com/watch?v=ZGOq9X5J97k>
> 3DBenchy Octolapse - Fail
> www.youtube.com
>
>
> https://www.youtube.com/watch?v=_8YT0j8UAI0
> [https://i.ytimg.com/vi/_8YT0j8UAI0/maxresdefault.jpg]<https://www.youtube.com/watch?v=_8YT0j8UAI0>
> EPIC 3D PRINTER PETG FAIL! filmed with Octolapse |
> JanTec<https://www.youtube.com/watch?v=_8YT0j8UAI0>
> one of my first timelapses for YouTube videos - a fail! :( 3d printer -
> JanTec - Epic 3d printer fail
> www.youtube.com
>
> -Scott
>
>
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