Systems and methods for facilitating candidate interviews

Patent metadata

Field	Value
Publication number	US-11288532-B2
Application number	US-202016806501-A
Country	US
Kind code	B2
Filing date	Mar 2, 2020
Priority date	Mar 2, 2020
Publication date	Mar 29, 2022
Grant date	Mar 29, 2022

Abstract

A system for determining candidate answers during an interview. The system may include a memory storing executable instructions, and at least one processor configured to execute the instructions to perform operations. The operations may include capturing, by an image sensor, a plurality of images comprising a plurality of candidate answers; detecting, based on the captured images, a first bounding box comprising the plurality of the candidate answers; detecting, based on the captured images, a second bounding box comprising a plurality of alphanumeric characters, a first one of the alphanumeric characters being located on a line of software code; calculating a distance from a side of a first bounding box to a side of a second bounding box; and determining, based on the calculated distance, a source code alignment.

First claim

What is claimed is:

1. A system for determining candidate answers during an interview, the system comprising:
a memory storing executable instructions; and
at least one processor configured to execute the instructions to perform operations comprising:
capturing, by an image sensor, a plurality of images comprising a plurality of candidate answers;
detecting, based on the captured images, a first bounding box comprising the candidate answers;
detecting, based on the captured images, a second bounding box comprising a plurality of alphanumeric characters, a first one of the characters being located on a line of software code;
calculating a distance from a side of the first bounding box to a side of the second bounding box; and
determining, based on the calculated distance, a software code alignment.

2. The system of claim 1 , wherein the software code alignment comprises an indentation in the software code.

3. The system of claim 1 , wherein determining a software code alignment comprises automatically detecting a software code alignment across a plurality of lines of the software code.

4. The system of claim 1 , wherein the operations further comprise comparing the candidate answers to a plurality of candidate solutions stored in a database.

5. The system of claim 4 , wherein the candidate solutions comprise candidate solutions based on a plurality of interviews.

6. The system of claim 1 , wherein the operations further comprise:
detecting if an error exists in the software code; and
based on the detection, prompting interviewers to provide interview questions.

7. The system of claim 6 , wherein prompting interviewers comprises suggesting questions for interviewers to ask based on a plurality of stored candidate solutions.

8. The system of claim 1 , wherein the image sensor comprises a camera positioned on one of a wall in a room or a laptop of a user.

9. The system of claim 1 , wherein:
the second bounding box comprises a height dimension and a width dimension; and
the operations further comprise calculating an average size of the second bounding box, based on the height and width dimensions.

10. The system of claim 2 , wherein the indentation comprises a plurality of tabs.

11. A method for determining candidate answers during an interview, the method comprising:
capturing, by an image sensor, a plurality of images comprising a plurality of candidate answers;
detecting, based on the captured images, a first bounding box comprising the candidate answers;
detecting, based on the captured images, a second bounding box comprising a plurality of alphanumeric characters, a first one of the alphanumeric characters being located on a line of software code;
calculating a distance from a side of the first bounding box to a side of the second bounding box; and
determining, based on the calculated distance, a software code alignment.

12. The method of claim 11 , wherein the software code alignment comprises an indentation in the software code.

13. The method of claim 11 , wherein determining a software code alignment comprises automatically detecting a software code alignment across a plurality of lines of the software code.

14. The method of claim 11 , further comprising comparing the candidate answers to a plurality of candidate solutions stored in a database.

15. The method of claim 14 , wherein the candidate solutions comprise candidate solutions based on a plurality of interviews.

16. The method of claim 14 , further comprising:
detecting if an error exists in the software code; and
based on the detection, prompting interviewers to provide interview questions.

17. The method of claim 16 , wherein
prompting interviewers comprises suggesting questions for interviewers to ask based on a plurality of stored candidate solutions.

18. The method of claim 11 , wherein the image sensor comprises a camera positioned on one of a wall in a room or on a laptop of a user.

19. The method of claim 11 , wherein:
the second bounding box comprises a height dimension and a width dimension; and
the method further comprising calculating an average size of the second bounding box based on the height and width dimensions.

20. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform operations comprising:
capturing, by an image sensor, a plurality of images comprising a plurality of candidate answers;
detecting, based on the captured images, a first bounding box comprising the plurality of the candidate answers;
detecting, based on the captured images, a second bounding box comprising a plurality of alphanumeric characters, a first one of the characters being located on a line of software code;
calculating a distance from a side of the first bounding box to a side of the second bounding box; and
determining, based on the calculated distance, a software code alignment.

Assignees

• Capital One Services Llc

Inventors

• Truong Anh
• Key Kate
• Rafferty Galen
• Farivar Reza
• Pham Vincent
• Walters Austin
• Watson Mark

Classifications

• G06Q10/105 Primary

  Human resources · CPC title

• G06V30/148

  Segmentation of character regions · CPC title

• G06V30/10

  Character recognition · CPC title

• G06F11/3624

  by performing operations on the source code, e.g. via a compiler · CPC title

• G06V30/414

  Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text · CPC title