Abstract: Devices and techniques are generally described for per-image printer setting optimization. In some examples, first data representing first input image data may be generated. A classifier network may generate first category data representing a predicted image category for the first input image data based at least in part on the first data. Second data representing a color of a printing medium and third data associated with a material of the printing medium may be determined. First printer configuration data may be determined by searching a first data structure using a combination of the first category data, the second data, and the third data. The first input image data and the first printer configuration data may be sent to the first printer. The first printer may be effective to print the first input image data using settings specified by the first printer configuration data.

Abstract: Techniques are provided herein for utilizing a dynamic geo-fence management engine. The techniques include receiving a set of parameters corresponding to a virtual geographic perimeter. A user may be determined based at least in part on a geographical location of the user and the set of parameters corresponding to the virtual geographic perimeter. A notification for the user may be generated, the notification being formatted according to a push notification service protocol the notification including the set of parameters. The notification may be provided to a remote computing device. Receipt of the notification by the remote computing device may cause the remote computing device to provide, to the user, information related to the virtual geographic perimeter.