US 11,941,792 B2
Machine learning-based analysis of computing device images included in requests to service computing devices
Benjamin Fauber, Austin, TX (US); and Lee Saeugling, Austin, TX (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Apr. 9, 2021, as Appl. No. 17/226,305.
Prior Publication US 2022/0327678 A1, Oct. 13, 2022
Int. Cl. G06T 7/00 (2017.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01)
CPC G06T 7/0002 (2013.01) [G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus comprising:
at least one processing device comprising a processor coupled to a memory;
the at least one processing device being configured to perform steps of:
receiving a service request for a given computing device, the service request comprising a given image of the given computing device, the given image comprising user identifying information for a user submitting the service request for the given computing device;
generating, utilizing a machine learning model, a given image embedding for the given image;
determining similarity measures between the given image embedding for the given image and one or more other image embeddings for one or more other images of computing devices utilizing an angular similarity metric;
identifying whether the given image exhibits at least a threshold level of similarity to at least one of the one or more other images based at least in part on the determined similarity measures;
classifying the given image as potentially fraudulent responsive to identifying the given image as exhibiting at least the threshold level of similarity to said at least one of the one or more other images; and
modifying processing of the service request responsive to classifying the given image as potentially fraudulent.