Using price in visual product recognition
First Claim
1. A system for processing images captured in a retail store and differentiating between products with similar visual appearances, the system comprising:
- at least one processor configured to;
receive at least one image depicting a store shelf having a product displayed thereon;
analyze the at least one image to detect the product;
determine that the detected product is either a first type of product or a second type of product, wherein each of the first type of product and the second type of product is associated with a different price range;
analyze the at least one image to determine a price associated with the detected product;
determine that the detected product is of the first type of product when the determined price falls within a first price range associated with the first type of product; and
determine that the detected product is of the second type of product when the determined price falls within a second price range associated with the second type of product.
6 Assignments
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Accused Products
Abstract
A system for processing images captured in a retail store and differentiating between products with similar visual appearances is provided. The system may comprise at least one processor configured to receive at least one image depicting a store shelf having a product displayed thereon, analyze the at least one image to detect the product, determine that the detected product is either a first type of product or a second type of product, analyze the at least one image to determine a price associated with the detected product, determine that the detected product is of the first type of product when the determined price falls within a first price range associated with the first type of product, and determine that the detected product is of the second type of product when the determined price falls within a second price range associated with the second type of product.
10 Citations
20 Claims
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1. A system for processing images captured in a retail store and differentiating between products with similar visual appearances, the system comprising:
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at least one processor configured to; receive at least one image depicting a store shelf having a product displayed thereon; analyze the at least one image to detect the product; determine that the detected product is either a first type of product or a second type of product, wherein each of the first type of product and the second type of product is associated with a different price range; analyze the at least one image to determine a price associated with the detected product; determine that the detected product is of the first type of product when the determined price falls within a first price range associated with the first type of product; and determine that the detected product is of the second type of product when the determined price falls within a second price range associated with the second type of product. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method for processing images captured in a retail store, the method comprising:
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receiving at least one image depicting a store shelf having a product displayed thereon; analyzing the at least one image to detect the product; determining that the detected product is either a first type of product or a second type of product, wherein the first type of product and the second type of product have similar visual appearances and each is associated with a different prices range, a first price range associated with the first type of product is higher than a second price range associated with the second type of product; analyzing the at least one image to determine a price associated with the detected product; determining that the detected product is of the first type of product when the determined price falls within the first price range; and determining that the detected product is of the second type of product when the determined price falls within the second price range. - View Dependent Claims (17, 18, 19)
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20. A computer program product for processing images captured in a retail store embodied in a non-transitory computer-readable medium and executable by at least one processor, the computer program product including instructions for causing the at least one processor to execute a method comprising:
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receiving at least one image depicting a store shelf having a product displayed thereon; analyzing the at least one image to detect the product; determining that the detected product is either a first type of product or a second type of product, wherein each of the first type of product and the second type of product is associated with a different price range; analyzing the at least one image to determine a price associated with the detected product; and determining that the detected product is of the first type of product when the determined price falls within a first price range associated with the first type of product; and determining that the detected product is of the second type of product when the determined price falls within a second price range associated with the second type of product.
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Specification