US 12,293,561 B2
Device and method for automatically identifying and categorizing waste, and directing a desired user action
Wolfgang Decker, Frisco, TX (US); Maithreya Chakravarthula, Richardson, TX (US); Cristopher Luce, The Colony, TX (US); Christopher Heney, Plano, TX (US); and Clifton Luce, Plano, TX (US)
Filed by Fidelity AG, Inc., Plano, TX (US)
Filed on May 3, 2022, as Appl. No. 17/736,078.
Application 17/736,078 is a continuation of application No. 16/826,213, filed on Mar. 21, 2020, granted, now 11,335,086.
Prior Publication US 2022/0301299 A1, Sep. 22, 2022
Int. Cl. G06V 10/25 (2022.01); G06T 7/194 (2017.01); G06V 10/20 (2022.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01)
CPC G06V 10/255 (2022.01) [G06T 7/194 (2017.01); G06V 10/82 (2022.01); G06V 30/19173 (2022.01); G06T 2207/20081 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method of waste management for aligning a user context with media content and a waste object disposed by the user to inform the user at a user waste object disposal location, comprising:
acquiring, by an artificial intelligence based waste object categorizing engine, at least one image;
detecting, by the artificial intelligence based waste object categorizing engine, at least one waste object from the at least one acquired image based on a foreground portion of the at least one acquired image, and a background portion of the at least one acquired image deriving at least one feature parameter therefrom;
determining, by the artificial intelligence based waste object categorizing engine, a feature value corresponding to the at least one feature parameter for pixel clarification associated with the at least one acquired image;
determining, by the artificial intelligence based waste object categorizing engine, that the at least one detected waste object matches with a pre-stored waste object;
performing at least one of:
identifying, by the artificial intelligence based waste object categorizing engine, a type of the detected waste object using the pre-stored waste object; or
when a detected waste object is not identified, placing the at least one detected waste object in a queuing library to:
manually create a new classification for an unknown object, or
properly align the at least one detected waste object with a correct classification in the pre-stored waste object, and then
adding the new classification to the artificial intelligence based waste object categorizing engine to continue a training process;
displaying, by the artificial intelligence based waste object categorizing engine, the type of the detected waste object based on the identification; and
notifying, by the artificial intelligence based waste object categorizing engine, the type of the detected waste object to a user.