Holographic precise identification and search network platform based on crowd parameter mode

Abstract

The invention discloses a holographic precise recognition and search network platform based on a crowd parameter mode, which comprises a function engine, the function engine comprises a user side and a platform side, the user side comprises a recognition module, and the platform side comprises a network information storage library; the recognition module comprises a picture recognition system and a sound recognition system; the hologram of the article is formed in a network information storage library; and the function engine searches and can automatically identify one or a plurality of article pictures which are most matched according to the information identified by the identification module, and is linked with the holograms of the articles associated with the pictures. According to the method, a holographic network information storage library with shapes, voices, texts and the like of objects can be constructed in a user participation mode, namely a mode based on the crowd parameters and a mode based on the crowd parameters, so that people can accurately obtain all-dimensional information of the objects through one aspect of the shapes, the voices and the texts, the information obtaining cost can be greatly reduced, and the user experience is improved. And the work and life of people are facilitated.

Description

Technical Field

[0001] This invention relates to the field of network technology, and in particular to a network platform for holographic precision recognition and search based on a crowdsourcing model. Background Technology

[0002] Currently, most object recognition technologies are based on two-dimensional image recognition. However, these technologies suffer from inaccuracies and incompleteness. They cannot obtain a complete picture (all-round information) of an object by recognizing other relevant information such as text or sound. This limits the current object recognition, search capabilities, and commercial applications. Summary of the Invention

[0003] Therefore, in order to address the above shortcomings, this invention provides a network platform for holographic precision recognition and search based on the crowd-reference model. The platform constructs a network information repository with holographic representations of the shape, sound, and text of objects based on the crowd-reference model. It can accurately obtain comprehensive information about things through one aspect of shape, sound, or text, realizing "what you see and hear is what you get".

[0004] The technical solution of the present invention is as follows:

[0005] A platform for holographic precision recognition and search network based on crowdsourced mode includes a functional engine, which includes a user terminal and a platform terminal. The user terminal includes a recognition module, and the platform terminal includes a network information repository.

[0006] The recognition module includes an image recognition and sound recognition system;

[0007] Users upload descriptions of items to the online information repository, which, together with existing text, images, and audio information about the items retrieved from the web, forms a holographic representation of the items in the online information repository.

[0008] Based on the information identified by the recognition module, the functional engine searches and can automatically identify the most matching image or multiple images of items contained therein, and link the holograms of the items associated with the image.

[0009] Furthermore, the description of the item is formed by the user taking a picture of the item they own or are familiar with, loading categorized text descriptions and explanations, and creating the item description.

[0010] Furthermore, the items captured by the user are 3D images formed by shooting from multiple angles.

[0011] Furthermore, the platform can use points, participation in projects, and revenue sharing based on contribution to encourage users to participate in photographing items they own or are familiar with, and load categorized text descriptions and explanations to form descriptions of the items.

[0012] Furthermore, if no one uploads information about the item, the contribution points belong entirely to that user; if other users upload information about the same item, the contribution points are automatically shared based on the matching rate between their uploaded information and the source information.

[0013] Furthermore, the users include those with business needs and shopping needs;

[0014] The aforementioned functional engine enables online store functionality, allowing users with business needs to upload full-view images of their products.

[0015] The functional engine enables users to associate shopping experiences with other products and services, and links stores or presents channels based on the information identified by the recognition module.

[0016] Furthermore, descriptions of items uploaded by users must undergo legal review before they can be entered into the online information repository.

[0017] The beneficial effects achieved by using this invention are as follows:

[0018] This invention enables users to participate in a crowdsourced model, where the platform constructs a holographic network information repository containing the form, sound, and text of objects. This allows people to accurately obtain comprehensive information about things through form, sound, and text, achieving "what you see and hear is what you get." This greatly reduces the cost of information acquisition, simplifies the purchasing and sales process, facilitates the development and application of purchasing and sales models, and makes people's work and life more convenient. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a simplified schematic diagram of the holographic precision recognition search network according to an embodiment of the present invention. Detailed Implementation

[0021] Reference will now be made to detailed embodiments of the present invention, one or more of which are described below. Each example is provided for explanation and not for limitation of the invention. In fact, it will be apparent to those skilled in the art that various modifications and variations can be made to the invention without departing from its scope or spirit. For example, features described or illustrated as part of one embodiment may be used in another embodiment to produce further embodiments.

[0022] Therefore, this invention is intended to cover such modifications and variations falling within the scope of the appended claims and their equivalents. Other objects, features, and aspects of the invention are disclosed in or will be apparent from the following detailed description. Those skilled in the art will understand that this discussion is merely a description of exemplary embodiments and is not intended to limit the broader aspects of the invention. The invention is further described below with reference to embodiments.

[0023] Example 1: Combined with Appendix Figure 1 The so-called holographic precision recognition and search network platform based on the crowd-parameter mode includes a functional engine, which includes a user terminal and a platform terminal. The user terminal includes a recognition module, and the platform terminal includes a network information storage repository.

[0024] The recognition module includes an image recognition and sound recognition system;

[0025] Users upload descriptions of items to the online information repository, which, together with existing text, images, and audio information about the items retrieved from the web, forms a holographic representation of the items in the online information repository.

[0026] Based on the information identified by the recognition module, the functional engine searches and can automatically identify the most matching image or multiple images of items contained therein, and link the holograms of the items associated with the image.

[0027] In practice, the holographic information of the item includes its name, specifications, technical parameters, acquisition channels, price, images, and sound.

[0028] The platform compares and verifies a large amount of information uploaded by users, continuously enriches and improves the information on the same item, and can generate different item information by category, gradually forming a complete audio-visual, textual information and related information database that accurately matches various things, namely, a network information storage database.

[0029] The description of the item is formed by the user taking a picture of the item they own or are familiar with, loading categorized text descriptions and explanations, and creating the item description.

[0030] The items captured by the user are 3D images created by shooting from multiple angles.

[0031] The platform can use points, participation in projects, and revenue sharing based on contribution to encourage users to participate in photographing items they own or are familiar with, and load categorized text descriptions and explanations to form descriptions of the items.

[0032] If no one uploads information for the item, the contribution points belong entirely to that user; if other users upload information for the same item, the contribution points are automatically shared based on the matching rate between their uploaded information and the source information.

[0033] The users include those with business needs and shopping needs;

[0034] The aforementioned functional engine enables online store functionality, allowing users with business needs to upload full-view images of their products.

[0035] The aforementioned functional engine enables users to associate shopping experiences with online stores, linking them to shops or displaying channels based on information identified by the recognition module. In other words, it can support traditional online "e-commerce" and "live-streaming commerce" functions, and can also create a "merchant recognition" function based on a "what you see is what you get" model.

[0036] Descriptions of items uploaded by users must undergo legal review before they can be entered into the online information repository.

[0037] In practice, the client of the platform can rely on mobile tools, such as mobile phones, computers, digital cameras, etc., to capture images and sounds of objects. With the help of these, the client can accurately match and identify the whole picture of the scene, objects, images, videos, key text, codes, sounds, and people (involving portrait rights and privacy rights, it is implemented cautiously within the legal framework) through the platform.

[0038] Furthermore, the platform in this embodiment can also gain attention, traffic, points, project participation, and platform revenue sharing based on the adoption and usage of item information uploaded by registered accounts.

[0039] Furthermore, in the crowd-participant mode, the holographic images of the objects obtained by this invention can be used as training material for artificial intelligence, which has great commercial value.

[0040] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A network platform for holographic precision recognition and search based on a crowdsourced parameter model, characterized in that, It includes a functional engine, which includes a user terminal and a platform terminal. The user terminal includes an identification module, and the platform terminal includes a network information repository. The recognition module includes an image recognition and sound recognition system; Users upload descriptions of items to the online information repository, which, together with existing text, images, and audio information about the items retrieved from the web, forms a holographic representation of the items in the online information repository. Based on the information identified by the recognition module, the functional engine searches and can automatically identify the most matching image or multiple images of items contained therein, and link the holograms of the items associated with the image.

2. The network platform for holographic precise recognition and search based on crowdsourced parameter mode according to claim 1, characterized in that, The description of the item is formed by the user taking a picture of the item they own or are familiar with, loading categorized text descriptions and explanations, and creating the item description.

3. The network platform for holographic precise recognition and search based on crowdsourced parameter mode according to claim 2, characterized in that, The items captured by the user are 3D images created by shooting from multiple angles.

4. The network platform for holographic precise recognition and search based on crowdsourced parameter mode according to claim 2, characterized in that, The platform can use points, participation in projects, and revenue sharing based on contribution to encourage users to participate in photographing items they own or are familiar with, and load categorized text descriptions and explanations to form descriptions of the items.

5. A network platform for holographic precise recognition and search based on crowdsourced parameter mode as described in claim 4, characterized in that, If no one uploads information about the item, the contribution points belong entirely to that user. If other users upload the same item information, their contribution will be automatically shared based on the matching rate between their uploaded information and the source information.

6. The network platform for holographic precise recognition and search based on crowdsourced parameter mode according to claim 2, characterized in that, The users include those with business needs and shopping needs; The aforementioned functional engine enables online store functionality, allowing users with business needs to upload full-view images of their products. The functional engine enables users to associate shopping experiences with other products and services, linking stores or displaying channels based on information identified by the recognition module.

7. A network platform for holographic precise recognition and search based on crowdsourced parameter mode as described in claim 1, characterized in that, Descriptions of items uploaded by users must undergo legal review before they can be entered into the online information repository.

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