Automated assessment
First Claim
1. A system, comprising:
- a processing device; and
a memory device in communication with the processing device, the memory device storing instructions that when executed by the processing device result in;
receiving a video stream comprising a plurality of image frames from an imaging source;
comparing a plurality of image data from one or more of the image frames with an image profile database to determine whether at least one item in one or more of the image frames is identifiable as one or more identified items;
locating a label on at least one of the one or more identified items, the locating comprising;
filtering the image frames to reduce a total number of the image frames analyzed and remove an outer margin of the image frames;
applying a blurring function prior to identifying at least one item after the filtering;
identifying a detailed image search region based on identifying at least one item in a filtered image frame; and
using the detailed image search region to search a non-blurred version of the filtered image frame for the label;
initiating a lookup operation in a secondary data source to determine one or more item attributes of the one or more identified items, wherein the lookup operation in the secondary data source is performed based on the label;
modifying the video stream to add an item identifier for each of the one or more identified items to the video stream as an annotated video; and
storing a record of the one or more item attributes of the one or more identified items in the annotated video.
1 Assignment
0 Petitions
Accused Products
Abstract
A system for automated assessments is provided. The system includes a processing device and a memory device. The memory device stores instructions that when executed by the processing device may result in receiving a video stream including image frames from an imaging source. Image data from one or more of the image frames can be compared with an image profile database to determine whether at least one item in one or more of the image frames is identifiable. A lookup operation can be initiated in a secondary data source to determine one or more item attributes of the one or more identified items. The video stream can be modified to add an item identifier for each of the identified items to the video stream as an annotated video. A record can be stored of the one or more item attributes of the identified items in the annotated video.
-
Citations
21 Claims
-
1. A system, comprising:
-
a processing device; and a memory device in communication with the processing device, the memory device storing instructions that when executed by the processing device result in; receiving a video stream comprising a plurality of image frames from an imaging source; comparing a plurality of image data from one or more of the image frames with an image profile database to determine whether at least one item in one or more of the image frames is identifiable as one or more identified items; locating a label on at least one of the one or more identified items, the locating comprising; filtering the image frames to reduce a total number of the image frames analyzed and remove an outer margin of the image frames; applying a blurring function prior to identifying at least one item after the filtering; identifying a detailed image search region based on identifying at least one item in a filtered image frame; and using the detailed image search region to search a non-blurred version of the filtered image frame for the label; initiating a lookup operation in a secondary data source to determine one or more item attributes of the one or more identified items, wherein the lookup operation in the secondary data source is performed based on the label; modifying the video stream to add an item identifier for each of the one or more identified items to the video stream as an annotated video; and storing a record of the one or more item attributes of the one or more identified items in the annotated video. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
-
-
17. A computer program product comprising a non-transitory storage medium embodied with computer program instructions that when executed by a computer cause the computer to implement:
-
receiving a video stream comprising a plurality of image frames from an imaging source; comparing a plurality of image data from one or more of the image frames with an image profile database to determine whether at least one item in one or more of the image frames is identifiable as one or more identified items; locating a label on at least one of the one or more identified items, the locating comprising; filtering the image frames to reduce a total number of the image frames analyzed and remove an outer margin of the image frames; applying a blurring function prior to identifying at least one item after the filtering; identifying a detailed image search region based on identifying at least one item in a filtered image frame; and using the detailed image search region to search a non-blurred version of the filtered image frame for the label; initiating a lookup operation in a secondary data source to determine one or more item attributes of the one or more identified items, wherein the lookup operation in the secondary data source is performed based on the label; modifying the video stream to add an item identifier for each of the one or more identified items to the video stream as an annotated video; and storing a record of the one or more item attributes of the one or more identified items in the annotated video. - View Dependent Claims (18, 19, 20, 21)
-
Specification