Method for determining correct scanning distance using augmented reality and machine learning models

Patent metadata

Field	Value
Publication number	US-2023316673-A1
Application number	US-202318101982-A
Country	US
Kind code	A1
Filing date	Jan 26, 2023
Priority date	Oct 23, 2018
Publication date	Oct 5, 2023
Grant date	—

Abstract

A smart device is provided with an application program for displaying a video feed received from the smart device's camera. The application can determine the coordinates for an intersection point, which is a point on the ground where the smart device is pointing at. The application can display a target on the visual representation of the intersection point. Based on whether the smart device is at an appropriate distance from the intersection point, the user interface can superimpose an indicator on the video feed received from the camera. This can inform the user whether the smart device is at an optimal scan distance from the intersection point (or an object) so that the object can be identified by a machine learning model.

First claim

1 - 60 . (canceled)

61 . A non-transitory computer-accessible medium having stored thereon computer-executable instructions executable by a computing hardware arrangement, wherein, when the computing hardware arrangement executes the instructions, the computing hardware arrangement is configured to perform procedures comprising:
displaying, on a display, a video feed captured by a camera from a first position; determining an intersection point between a ground plane and the first position; determining a distance between the first position and the intersection point; and capturing by the camera an image of an object in the video feed when the distance between the first position and the intersection point is within an optimal scan distance.

Assignees

• Capital One Services Llc

Inventors

• Duckworth Staevan
• Martinez Daniel
• Hardin William
• Castaneda Jonathan
• Lee Susie

Classifications

• G06T19/006 Primary

  Mixed reality (object pose determination, tracking or camera calibration for mixed reality G06T7/00) · CPC title

• G06T7/73

  using feature-based methods · CPC title

• G01B11/026

  by measuring distance between sensor and object (G01B11/0608 takes precedence) · CPC title

• G06F17/18

  for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

• G01B11/03

  by measuring coordinates of points · CPC title