Article identification method, system, device and storage medium

A technology for item and target identification, applied in the field of machine learning, can solve the problem of inability to quickly identify the authenticity of items, and achieve the effect of simplifying the authenticity disputes of items and solving the inability to quickly identify items.

Active Publication Date: 2021-02-09
TURING AI INST NANJING CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the shortcomings of the prior art described above, the purpose of this application is to provide an item identification method, system, equipment and storage medium to solve the problem in the prior art that the authenticity of the item cannot be quickly identified

Method used

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  • Article identification method, system, device and storage medium
  • Article identification method, system, device and storage medium
  • Article identification method, system, device and storage medium

Examples

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Embodiment Construction

[0034] The implementation of the present application will be described by specific specific examples below, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification.

[0035] Although in some instances the terms first, second, etc. are used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first preset threshold could be termed a second preset threshold, and, similarly, a second preset threshold could be termed a first preset threshold, without departing from the scope of the various described embodiments. Both the first preset threshold and the preset threshold describe a threshold, but unless the context clearly indicates otherwise, they are not the same preset threshold. Similar cases also include the first volume and the second volume.

[0036]Furthermor...

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PUM

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Abstract

The present application provides an item identification method, system, equipment and storage medium. The method includes the following steps: acquiring a plurality of images taken on the object to be identified, each of which includes at least one target identification point; according to training a plurality of convolutional neural networks corresponding to the at least one target identification point The model respectively recognizes the multiple images to obtain a single-point score corresponding to each target identification point; weights the single-point scores of multiple target identification points according to the weights obtained by testing in the training set of the training The summing process is used to obtain the total score; and the authenticity of the item is identified according to the single-point score or / and the total score. This application uses the convolutional neural network to identify the target identification points of the items described in each image, builds an evaluation mechanism, and determines the authenticity of the items through the evaluation of the identification results, effectively solving the problem that counterfeit products cannot be quickly identified.

Description

technical field [0001] The present application relates to the technical field of machine learning, in particular to an item identification method, system, device and storage medium. Background technique [0002] Today, the purchasing power of residents has improved and the number of luxury goods purchased has increased. However, mixed sales of authentic and fake luxury goods are emerging one after another. Luxury goods identification has become the core demand for consumers to purchase luxury goods through multiple channels. At present, the main way to identify luxury goods at home and abroad is manual identification, and there are no papers or patents on the identification of luxury goods through deep learning methods. [0003] Although some developments have been made in artificially identifying luxury goods, there are still many problems. First, there is currently no professional qualification certificate for the luxury goods identification industry in China, the lack of...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q30/00G06V10/764G06V20/00
CPCG06Q30/0185G06F18/24323G06V20/00G06V10/82G06V10/764
Inventor 唐平中李元齐汪勋戚婧晨
Owner TURING AI INST NANJING CO LTD
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