US 12,035,004 B2
Visual testing based on machine learning and automated workflow
Andrew Fakhry, Englewood, CO (US)
Assigned to DISH Network L.L.C., Englewood, CO (US)
Filed by DISH Network L.L.C., Englewood, CO (US)
Filed on Jul. 12, 2023, as Appl. No. 18/351,410.
Application 18/351,410 is a continuation of application No. 17/070,186, filed on Oct. 14, 2020, granted, now 11,792,482.
Prior Publication US 2023/0362439 A1, Nov. 9, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 21/4425 (2011.01); G06N 3/02 (2006.01); G06N 20/00 (2019.01); H04N 21/442 (2011.01)
CPC H04N 21/4425 (2013.01) [H04N 21/4424 (2013.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for visual testing of programmed display of content, the method comprising:
obtaining a workflow of visual test scenarios for visual testing of one or more displays, wherein content displayed on the one or more displays is controlled, at least partially, by one or more set-top box (STB) devices executing target instructions, wherein the workflow corresponds to a directed graph of visual test scenarios, each to cause display of content via the one or more displays, that are connected to one another and at least two of the visual test scenarios are temporally partially overlapping;
communicating with the one or more STB devices based at least partially on one or more actions specified by a first visual test scenario in the workflow;
responsive to the communicating, identifying a first set of display elements from content displayed on the one or more displays; and
performing first visual testing based at least partially on the first set of display elements in accordance with one or more visual expectations specified by the first visual test scenario.