Patent ID: 11881089
Assignee: NCR CORPORATION
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 12:
13. A method, comprising:
obtaining past incident records for past brute force attacks on transaction terminals within an area during a given period of time;
obtaining past video for each of the past incident records;
extracting training visual features from the past video for each past incident record, wherein the visual features associated with individuals of the past brute force attacks, vehicles of the past brute force attacks, orientations of the vehicles relative to corresponding transaction terminals of the past brute force attacks, and objects held by or in proximity to the individuals during the past brute force attacks;
identifying training factors as a total number of the past brute force attacks within the given period of time, a severity of each past brute force attack, a time of day of each past brute force attack, a calendar date for each past brute force attack, a day of week for each past brute force attack, and weather known to be experienced in the area for each past brute force attack;
generating training records for training a Machine-Learning Model (MLM) using the incident records and using non-incident records for which there was no past brute force attack, each training record that is associated with a corresponding incident record labeled with an expected output that a given past brute force attack occurred, and each training recording corresponding to a non-incident record labeled with the expected output that no brute force attack occurred; and
training the MLM with the corresponding training visual features and the corresponding training factors as input with the training records and a corresponding confidence value as a percentage potential that a given training record is or is not associated with one of the past brute force attacks.