CN110427511A - It is a kind of that material method is looked for based on taking pictures for artificial intelligence picture recognition technology - Google Patents
It is a kind of that material method is looked for based on taking pictures for artificial intelligence picture recognition technology Download PDFInfo
- Publication number
- CN110427511A CN110427511A CN201910612595.9A CN201910612595A CN110427511A CN 110427511 A CN110427511 A CN 110427511A CN 201910612595 A CN201910612595 A CN 201910612595A CN 110427511 A CN110427511 A CN 110427511A
- Authority
- CN
- China
- Prior art keywords
- picture
- information
- database
- picture recognition
- artificial intelligence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000000463 material Substances 0.000 title claims abstract description 16
- 238000005516 engineering process Methods 0.000 title claims abstract description 13
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 12
- 229920003023 plastic Polymers 0.000 claims abstract description 7
- 239000004033 plastic Substances 0.000 claims abstract description 7
- 230000008569 process Effects 0.000 claims description 6
- 239000000047 product Substances 0.000 abstract description 7
- 239000011265 semifinished product Substances 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
- G06F16/538—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Image Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
It is a kind of that material method is looked for based on taking pictures for artificial intelligence picture recognition technology, comprising the following steps: S1: user takes pictures to product, and by photo upload to system；S2: system is scanned picture, classification of the inquiry picture in database；S3: search result list is shown；S4: system records information；S5: the system pictorial information is saved into intelligent AI picture recognition system.In the present invention, system is marked and is stored in database to a large amount of semi-finished product picture, and database includes pictorial information, plastics trademarks information and case data information.The picture that system uploads user identifies, after each user identifies successfully, system can carry out label study again for the picture, be not necessarily to scan mass file after identifying similar pictures in order to other users, can be matched to accurate corresponding data information and be shown.
Description
Technical field
The present invention relates to intelligent AI picture recognition analysis technical fields, more particularly to one kind to be based on artificial intelligence picture recognition
Material method is looked in taking pictures for technology.
Background technique
In Plastics Industry chain, the name of product of most of semi-finished product can not describe or without Uniform Name, can not use text
Word accurate description, brings problems, such as the relevant product information that major search engine can not all be found the drawbacks of.I.e.
It is to issue client, title cannot be unified, and it is even more impossible to find corresponding production case, data and relevant information.Material net is searched to combine
Product picture or semi-finished product picture, product information, production case, production trade mark information are combined by the big data advantage of itself
It takes pictures and looks for material function, intuitively look for stream journey as user's offer is convenient, the solution for quickly looking for material is provided for industrial chain.
Summary of the invention
(1) goal of the invention
To solve technical problem present in background technique, the present invention proposes a kind of bat based on artificial intelligence picture recognition technology
According to looking for material method.
(2) technical solution
To solve the above problems, the present invention provides a kind of taking pictures based on artificial intelligence picture recognition technology to look for material method, packet
Include following steps:
S1: user takes pictures to product, and by photo upload to system；
S2: system is scanned picture, classification of the inquiry picture in database；Wherein, database includes pictorial information, plastics
Trade mark information and case data information；
S3: in picture search process, if database there are the history identification information for when similar pictures, directly reading the picture,
And it is matched to CROSS REFERENCE and trade mark data information, and show search result list；
In picture search process, similar pictures are not present in database, and picture is sent to intelligent AI picture recognition system, with identification
The integrated data title and classification of picture out, and it is matched to CROSS REFERENCE and trade mark data information, and show search result list；
S4: after user checks case data or trade mark information, system records the case and upload of user's this visit
Pictorial information；
S5: the system pictorial information is saved into intelligent AI picture recognition system.
Preferably, picture intelligence learning algorithm is equipped in system, for being trained to intelligent AI picture recognition system.
Preferably, database monthly periodically updates.
Preferably, in S1, user shoots screen, and video is uploaded to system, and system chooses one or more in screen
Picture.
In the present invention, system is marked and is stored in database to a large amount of semi-finished product picture, and database includes picture letter
Breath, plastics trademarks information and case data information.The picture that system uploads user identifies that each user identifies successfully
Afterwards, system can carry out label study again for the picture, be not necessarily to scan sea after identifying similar pictures in order to other users
File is measured, accurate corresponding data information can be matched to and be shown.
Detailed description of the invention
Fig. 1 looks for the flow diagram of material method based on taking pictures for artificial intelligence picture recognition technology to be proposed by the present invention.
Specific embodiment
In order to make the objectives, technical solutions and advantages of the present invention clearer, With reference to embodiment and join
According to attached drawing, the present invention is described in more detail.It should be understood that these descriptions are merely illustrative, and it is not intended to limit this hair
Bright range.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to avoid this is unnecessarily obscured
The concept of invention.
As shown in Figure 1, a kind of taking pictures based on artificial intelligence picture recognition technology proposed by the present invention looks for material method, including
Following steps:
S1: user takes pictures to product, and by photo upload to system；
S2: system is scanned picture, classification of the inquiry picture in database；Wherein, database includes pictorial information, plastics
Trade mark information and case data information；
S3: in picture search process, if database there are the history identification information for when similar pictures, directly reading the picture,
And it is matched to CROSS REFERENCE and trade mark data information, and show search result list；
In picture search process, similar pictures are not present in database, and picture is sent to intelligent AI picture recognition system, with identification
The integrated data title and classification of picture out, and it is matched to CROSS REFERENCE and trade mark data information, and show search result list；
S4: after user checks case data or trade mark information, system records the case and upload of user's this visit
Pictorial information；
S5: the system pictorial information is saved into intelligent AI picture recognition system.
In the present invention, system is marked and is stored in database to a large amount of semi-finished product picture, and database includes picture letter
Breath, plastics trademarks information and case data information.The picture that system uploads user identifies that each user identifies successfully
Afterwards, system can carry out label study again for the picture, be not necessarily to scan sea after identifying similar pictures in order to other users
File is measured, accurate corresponding data information can be matched to and be shown.
In an alternative embodiment, picture intelligence learning algorithm is equipped in system, for intelligent AI picture recognition
System is trained, to improve the working efficiency of intelligence AI picture recognition system.
In an alternative embodiment, database monthly periodically updates, and to obtain Latest Materials information, improves database
Integrality.
In an alternative embodiment, in S1, user shoots screen, and video is uploaded to system, and system chooses view
One or more picture in screen.
It should be noted that realizing the function of uploading screen and identify pictorial information according to screen, additionally it is possible to realize one
Secondary property uploads plurality of pictures and improves the working efficiency of system to the function that plurality of pictures is identified, reduces the upload of user
Operation, it is time saving and energy saving.
It should be understood that above-mentioned specific embodiment of the invention is used only for exemplary illustration or explains of the invention
Principle, but not to limit the present invention.Therefore, that is done without departing from the spirit and scope of the present invention is any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.In addition, appended claims purport of the present invention
Covering the whole variations fallen into attached claim scope and boundary or this range and the equivalent form on boundary and is repairing
Change example.
Claims (4)
1. a kind of look for material method based on taking pictures for artificial intelligence picture recognition technology, which comprises the following steps:
S1: user takes pictures to product, and by photo upload to system；
S2: system is scanned picture, classification of the inquiry picture in database；Wherein, database includes pictorial information, plastics
Trade mark information and case data information；
S3: in picture search process, if database there are the history identification information for when similar pictures, directly reading the picture,
And it is matched to CROSS REFERENCE and trade mark data information, and show search result list；
In picture search process, similar pictures are not present in database, and picture is sent to intelligent AI picture recognition system, with identification
The integrated data title and classification of picture out, and it is matched to CROSS REFERENCE and trade mark data information, and show search result list；
S4: after user checks case data or trade mark information, system records the case and upload of user's this visit
Pictorial information；
S5: the system pictorial information is saved into intelligent AI picture recognition system.
2. according to claim 1 look for material method based on taking pictures for artificial intelligence picture recognition technology, which is characterized in that be
Picture intelligence learning algorithm is equipped in system, for being trained to intelligent AI picture recognition system.
3. according to claim 1 look for material method based on taking pictures for artificial intelligence picture recognition technology, which is characterized in that number
It is monthly periodically updated according to library.
4. according to claim 1 look for material method based on taking pictures for artificial intelligence picture recognition technology, which is characterized in that S1
In, user shoots screen, and video is uploaded to system, and system chooses one or more picture in screen.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910612595.9A CN110427511A (en) | 2019-07-09 | 2019-07-09 | It is a kind of that material method is looked for based on taking pictures for artificial intelligence picture recognition technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910612595.9A CN110427511A (en) | 2019-07-09 | 2019-07-09 | It is a kind of that material method is looked for based on taking pictures for artificial intelligence picture recognition technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110427511A true CN110427511A (en) | 2019-11-08 |
Family
ID=68409064
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910612595.9A Pending CN110427511A (en) | 2019-07-09 | 2019-07-09 | It is a kind of that material method is looked for based on taking pictures for artificial intelligence picture recognition technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110427511A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106557489A (en) * | 2015-09-25 | 2017-04-05 | 南京理工大学 | A kind of dress ornament searching method based on mobile terminal |
| US20170132497A1 (en) * | 2014-12-17 | 2017-05-11 | Amazon Technologies, Inc. | Identification of item attributes using artificial intelligence |
| CN107357815A (en) * | 2017-06-07 | 2017-11-17 | 上海斐讯数据通信技术有限公司 | A kind of recognition methods of image content and system |
| CN108776771A (en) * | 2018-04-25 | 2018-11-09 | 青岛海信移动通信技术股份有限公司 | A kind of method and apparatus of display picture |
-
2019
- 2019-07-09 CN CN201910612595.9A patent/CN110427511A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170132497A1 (en) * | 2014-12-17 | 2017-05-11 | Amazon Technologies, Inc. | Identification of item attributes using artificial intelligence |
| CN106557489A (en) * | 2015-09-25 | 2017-04-05 | 南京理工大学 | A kind of dress ornament searching method based on mobile terminal |
| CN107357815A (en) * | 2017-06-07 | 2017-11-17 | 上海斐讯数据通信技术有限公司 | A kind of recognition methods of image content and system |
| CN108776771A (en) * | 2018-04-25 | 2018-11-09 | 青岛海信移动通信技术股份有限公司 | A kind of method and apparatus of display picture |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109635171B (en) | Fusion reasoning system and method for news program intelligent tags | |
| US20210103779A1 (en) | Mobile image search system | |
| CN106156347A (en) | Cloud photograph album classification methods of exhibiting, device and server | |
| Russell et al. | LabelMe: a database and web-based tool for image annotation | |
| CN101292259B (en) | Method and system for image matching in a mixed media environment | |
| US20120084276A1 (en) | Providing associations between objects and individuals associated with relevant media items | |
| CN108764269A (en) | A kind of cross datasets pedestrian recognition methods again based on space-time restriction incremental learning | |
| Parham et al. | Animal population censusing at scale with citizen science and photographic identification | |
| CN107357902A (en) | A kind of tables of data categorizing system and method based on correlation rule | |
| US20200225820A1 (en) | Minimally invasive user metadata | |
| CN110347777A (en) | A kind of classification method, device, server and the storage medium of point of interest POI | |
| US20210103611A1 (en) | Context-based organization of digital media | |
| CN110399525A (en) | A kind of people based on image recognition technology, object motion profile method for quickly retrieving | |
| Singh et al. | Semantically guided geo-location and modeling in urban environments | |
| CN111027622B (en) | Picture label generation method, device, computer equipment and storage medium | |
| CN114491071A (en) | Food safety knowledge graph construction method and system based on cross-media data | |
| US11908220B2 (en) | System and method for automatically recognizing delivery point information | |
| US8634660B2 (en) | Event classification method using lit candle detection | |
| CN110427511A (en) | It is a kind of that material method is looked for based on taking pictures for artificial intelligence picture recognition technology | |
| CN110580299B (en) | Method, system, equipment and storage medium for generating matching diagram of recommended language of object | |
| Liu et al. | AntiLoiter: A loitering discovery system for longtime videos across multiple surveillance cameras | |
| Song et al. | A precise and real-time loop-closure detection for slam using the rsom tree | |
| CN111401158A (en) | Difficult sample discovery method and device and computer equipment | |
| Derieux¹ et al. | Combining semantics and statistics for patent classification | |
| Joseph et al. | Automatic attendance system using face recognition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191108 |