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Image-based shopping recognition and ideographic expression method

An image and image frame technology, which is applied in the field of image-based shopping recognition and expressiveness, can solve the problems of long time and time-consuming, etc., and achieve the effect of improving accuracy, obvious object features, and good recognition effect

Active Publication Date: 2018-12-21
隆正信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Shopping is an essential link in real life. With the innovation of technology, the traditional way of cash transactions is gradually changing to the way of mobile terminal shopping, that is, people now only carry a mobile terminal such as a mobile phone. The shopping operation can be completed, but for such a popular and convenient shopping experience, it must be realized on the premise that both the buyer and the seller are present. In this way, the interaction during the shopping process still takes a lot of time, especially in the case of queuing , the time will be longer

Method used

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  • Image-based shopping recognition and ideographic expression method

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Embodiment Construction

[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0040] Such as figure 1 As shown, the present invention designs an image-based shopping recognition and expression method, based on the image frame obtained by the fixed image capture device at the position of the commodity cabinet, realizes the unattended shopping process, and applies it to specific actual operations, specifically Including real-time execution of the following steps:

[0041] Step A. Based on the eigenvectors of each face in each video frame, carry out faceID labeling for the faces corresponding to different eigenvectors in each video frame, and the faceID labels of the faces corresponding to the same eigenvectors are the same, and then enter step B .

[0042]Step B. For each faceID-labeled face, determine whether the number of consecutive video frames where the faceID-labeled face is located reaches ...

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Abstract

The invention relates to an image-based shopping recognition and ideographic expression method. On the basis of the logic design architecture, face recognition matching is realized by means of multi-frame comparison, so that the face recognition accuracy rate is increased; for users after successful matching, background reconstruction and foreground object extraction are carried out to obtain an object image and the obtained object image is trained and identified, so that the object feature is recognized well. During the recognition process, the background interference can be removed, so thatthe object held by the user is identified; and the hinting action of the user is identified to complete object purchasing. The entire process is realized automatically, efficiently and fast.

Description

technical field [0001] The invention relates to an image-based shopping recognition and expression method, belonging to the technical field of image recognition. Background technique [0002] Shopping is an essential link in real life. With the innovation of technology, the traditional way of cash transactions is gradually changing to the way of mobile terminal shopping, that is, people now only carry a mobile terminal such as a mobile phone. The shopping operation can be completed, but for such a popular and convenient shopping experience, it must be realized on the premise that both the buyer and the seller are present. In this way, the interaction during the shopping process still takes a lot of time, especially in the case of queuing , the time will be longer. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide an image-based shopping recognition and expression method that can accurately realize the unattended s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G07G1/12
CPCG07G1/12G06V40/166G06V40/168G06V40/20G06V10/56
Inventor 高剑吴向东易娟张东
Owner 隆正信息科技有限公司
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