US 12,321,965 B2
Evaluating and recycling electronic devices
Babak Forutanpour, San Diego, CA (US); and Ted Ray Gooding, San Diego, CA (US)
Assigned to ecoATM, LLC, San Diego, CA (US)
Filed by ecoATM, LLC, San Diego, CA (US)
Filed on Aug. 24, 2021, as Appl. No. 17/445,799.
Claims priority of provisional application 63/070,207, filed on Aug. 25, 2020.
Prior Publication US 2022/0067798 A1, Mar. 3, 2022
Int. Cl. G06V 10/98 (2022.01); G06F 3/0482 (2013.01); G06F 18/21 (2023.01); G06N 20/00 (2019.01); G06Q 10/30 (2023.01); G06Q 20/18 (2012.01); G06Q 30/018 (2023.01); G06Q 30/02 (2023.01); G06Q 30/0283 (2023.01); G06V 10/44 (2022.01); G06V 20/40 (2022.01)
CPC G06Q 30/0278 (2013.01) [G06F 3/0482 (2013.01); G06F 18/217 (2023.01); G06Q 10/30 (2013.01); G06Q 30/0283 (2013.01); G06V 10/44 (2022.01); G06V 10/987 (2022.01); G06V 20/40 (2022.01); G06N 20/00 (2019.01); G06Q 20/18 (2013.01); G06Q 30/0185 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method to generate a price of a target device, the method comprising:
obtaining, by a mobile handheld evaluator device, technical properties associated with the target device, the technical properties comprising a make and a model of the target device;
obtaining, by the mobile handheld evaluator device, physical properties associated with the target device, the physical properties comprising information related to wear and tear of the target device, wherein obtaining the physical properties comprises:
indicating, by a user interface of the handheld evaluator device, to a user that the user should position the target device in one or more predetermined positions relative to a camera of the mobile handheld evaluator device;
indicating, by the user interface, to the user that the mobile handheld evaluator device records one or more images of the target device in each of the predetermined positions using a guide displayed on the mobile evaluator device to indicate how to position the target device within a camera view of the mobile evaluator device; and
capturing, by the camera of the mobile handheld evaluator device, the one or more images of the target device while the target device is positioned in each of the predetermined positions;
evaluating, using an application software and/or hardware of the mobile handheld device, the obtained physical properties to generate a condition metric value of the target device, to perform the evaluating remotely by the user;
based on the generated condition metric value, determining the price of the target device; and
indicating, by the user interface, the price of the target device to the user;
wherein the condition metric value is obtained based on a trained artificial intelligence module to detect screen and/or device imperfections of the target device;
the training of the trained artificial intelligence module includes training data, wherein the training data includes a positive training set of features that have been determined to have a desired property in question, and, in some embodiments, a negative training set of features that lack the property in question using a supervised and/or unsupervised machine learning.