When using a printer, one of the most frequent operations is to load media onto which the printing will
This operation not only consist in physically loading and placing the media in the paper path for the
printer to feed the media, but also consists in providing some media identification to the printer which
then will be used to select the proper parameters for optimal printing.
Making a mistake in the identification of the media, something with can occur for new operators or
these who do not often use the printer, will lead to a non‐optimal printing image quality.
To avoid this, the media loading can be automated to recognize the media correctly using a suitably
trained machine learning (ML) algorithm which examines scanned images of the media and then output
the correct media category.
The optimal features, along with the fine‐tuned classification approach proposed herein, delivers better
printer automation, and provides an enhanced experience to the end‐user.
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INC, HP, "DISTINGUISHING DIFFERENT MEDIA TYPES ON SCANNED IMAGES USING MACHINE LEARNING TO AUTOMATE MEDIA SELECTION", Technical Disclosure Commons, (March 02, 2022)