Label verification using image analysis
Image analysis is used to provide label verification. An image of a label within a scene is acquired. The label includes a barcode and characters. The barcode on the label is decoded to receive an identity of an object. Optical character recognition is performed to recognize the characters on the label. Recognized characters are compared to information about decoded barcode to verify the label is correct.
1 . A system for optically detecting a state of a display using image analysis, the system comprising:
a camera, wherein the camera is part of a mobile device; and
one or more memory device comprising instructions that, when executed, cause one or more processors to perform the following steps:
acquiring, using the camera, a plurality of images of a scene, wherein:
the scene includes a label and a product; and
the label includes a barcode and characters of text and/or numbers;
decoding the barcode from an image of the plurality of images to receive an identity of an object and ascertain a price associated with the object based on the identity of the object;
identifying the product and a price label for the product using image recognition based on one or more images of the plurality of images; and
matching the product with the identity of the object and comparing the price label for the product with the price associated with the object to obtain one or more results.
2 . The system of claim 1 , further comprising:
receiving information about the object based on the identity of the object;
performing optical character recognition on an image of the plurality of images to recognize the characters;
comparing recognized characters to the information about the object to obtain a result of the one or more results; and
reporting the result.
3 . The system of claim 2 , wherein:
the information about the object is an intended price; and
the characters include a price on the label.
4 . The system of claim 1 , wherein the instructions, when executed, cause the one or more processors to track the barcode from frame to frame in the plurality of images.
5 . The system of claim 1 , wherein the instructions, when executed, cause the one or more processors to create a map of distances between labels, based on the plurality of images.
6 . A method for optically detecting a state of a display using image analysis, the method comprising:
acquiring a plurality of images of a scene, wherein:
the scene includes a label; and
the label includes a barcode and characters of text and/or numbers;
decoding the barcode from an image of the plurality of images to receive an identity of an object;
receiving information about the object based on the identity of the object, wherein the information is a first price associated with the object;
performing optical character recognition on an image of the plurality of images to recognize a second price associated with the object;
comparing the first price to the second price to obtain a result; and
reporting the result.
7 . The method of claim 6 , wherein:
a portion of the characters include the second price.
8 . The method of claim 6 , wherein:
the scene includes a product; and
the method comprises:
identifying the product using image recognition based on one or more of the plurality of images; and
matching the product with the identity of the object based on image recognition of the product and decoding the barcode.
9 . The method of claim 6 , comprising tracking the barcode from frame to frame in the plurality of images.
10 . The method of claim 6 , wherein the barcode is a two-dimensional barcode.
11 . The method of claim 6 , comprising providing a user interface to receive data about the label from a user.
12 . The method of claim 6 , wherein matching is performed through a web browser.
13 . The method of claim 6 , comprising creating a map of labels and distances between labels.
14 . The method of claim 6 , comprising:
saving an image of the scene around the barcode; and
saving a higher-resolution image of the barcode than the image of the scene around the barcode.
15 . The method of claim 6 , comprising:
saving image data of one or more of the plurality of images to a database; and
saving the identity of the object to the database.
16 . A memory device comprising instructions that, when executed, cause one or more processors to perform the following steps:
acquiring a plurality of images of a scene, wherein:
the scene includes a label; and
the label includes a barcode and characters of text and/or numbers;
decoding the barcode from an image of the plurality of images to receive an identity of an object;
receiving information about the object based on the identity of the object, wherein the information is a first price associated with the object;
performing optical character recognition on an image of the plurality of images to recognize a second price associated with the object;
comparing the first price to the second price to obtain a result; and
reporting the result.
17 . The memory device of claim 16 , wherein:
a portion of the characters include the second price.
18 . The memory device of claim 16 , wherein:
the scene includes a product; and
the instructions, when executed, cause the one or more processors to perform the following steps:
identifying the product using image recognition based on one or more of the plurality of images; and
matching the product with the identity of the object based on image recognition of the product and decoding the barcode.
19 . The memory device of claim 16 , wherein the instructions, when executed, cause the one or more processors to track the barcode from frame to frame in the plurality of images.
20 . The memory device of claim 16 , wherein the instructions, when executed, cause the one or more processors to create a map of labels and distances between labels.