CN111325154A - Individual product association system based on face recognition - Google Patents
Individual product association system based on face recognition Download PDFInfo
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- CN111325154A CN111325154A CN202010106797.9A CN202010106797A CN111325154A CN 111325154 A CN111325154 A CN 111325154A CN 202010106797 A CN202010106797 A CN 202010106797A CN 111325154 A CN111325154 A CN 111325154A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- 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
- G06F16/55—Clustering; Classification
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- 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
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- Physics & Mathematics (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Health & Medical Sciences (AREA)
- Library & Information Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses a personalized product association system based on face recognition, which comprises a user terminal for uploading photos, a face recognition module for performing information comparison, a file server for storing files, a management terminal for synchronizing the files to the file server, a feature database for storing feature data, and a feature coding module for acquiring file features and storing the acquired features into the feature database. The invention adopts the characteristic of uniqueness of the client to inquire, optimizes the model by feedback and machine learning, can improve the matching accuracy, and carries out different types of classification and labeling on the pictures in the database, thereby facilitating the retrieval and classification of the client on the self-defined pictures.
Description
Technical Field
The invention relates to the technical field of images, in particular to a personalized product association system based on face recognition.
Background
The image industry is an industry which is huge in individual quantity and continuously develops, for places with dense people flow and per-capita service time periods, such as theme parks or superstores, point-to-point extraction and pairing of photos consume large manpower and material resources, meanwhile, the redundancy of the system is poor, the relevance among the photos is low, for example, a plurality of shops are bound in a unique number mode, but if a receipt is lost, a piece of naked eye is required to search and pair.
The existing individual product association system does not have definite definition on an actual application scene, does not identify the region of a smearing track, can identify an inquired object by preprocessing the image of the inquired object in advance, is not efficient enough and has no pertinence, so that the individual product association system based on face identification is provided.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a personalized product association system based on face recognition.
The invention provides a personalized product association system based on face recognition, which comprises a user terminal for uploading photos, a face recognition module for performing information comparison, a file server for storing files, a management terminal for synchronizing the files to the file server, a feature database for storing feature data, and a feature coding module for acquiring file features and storing the acquired features into the feature database.
Preferably, the face recognition module comprises a facial feature extraction module for extracting facial features and a facial feature search module for searching the extracted facial features and comparing the extracted facial features with feature data in a feature database.
Preferably, the user terminal includes a smart phone, a tablet computer and a notebook computer.
Preferably, the files include picture and video files.
The beneficial effects of the invention are as follows:
1. by applying the face recognition technology, effective inquiry, classification and extraction can be carried out on the photos of the client, the characteristic of uniqueness of the client is adopted for inquiry, the model is automatically optimized through feedback and machine learning, and the matching accuracy can be improved.
2. The data is associated with diversity, and different types of classification and labels are carried out on the pictures in the database, so that the retrieval and classification of the user-defined pictures are facilitated for the client, and meanwhile, the robustness and the accuracy of picture searching are also improved.
3. The shooting position of the client is prompted in a more targeted manner, so that more effective control over input parameters is reduced, and meanwhile, the product is more targeted.
Drawings
Fig. 1 is a schematic flow chart of a personalized product association system based on face recognition according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1, the personal product association system based on face recognition includes a user terminal for uploading photos, a face recognition module for performing information comparison, a file server for storing files, a management terminal for synchronizing files to the file server, a feature database for storing feature data, and a feature coding module for acquiring file features and storing the acquired features in the feature database, the face recognition module includes a facial feature extraction module for extracting facial features and a facial feature search module for searching the extracted facial features and comparing the extracted facial features with the feature data in the feature database, the user terminal includes a smart phone, a tablet computer, and a notebook computer, and the files include pictures and video files.
In the management terminal, synchronizing the picture and the video file to a file server through a desktop program and the like, storing the collected features into a feature database by a feature coding module, monitoring the file server in real time, carrying out feature collection on the newly synchronized file, uploading a face picture of a user in an APP or a WeChat applet and the like in a user terminal, extracting the face features of the user by a face recognition module, comparing the features in the feature database, calling a related file from the file server according to a feature result obtained by comparison, and returning the related file to the user terminal.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (4)
1. The individual product association system based on face recognition comprises a user terminal used for uploading photos, a face recognition module used for carrying out information comparison, a file server used for storing files, a management terminal used for synchronizing the files to the file server, a feature database used for storing feature data, and a feature coding module used for collecting file features and storing the collected features into the feature database.
2. The system of claim 1, wherein the face recognition module comprises a facial feature extraction module for extracting facial features and a facial feature search module for searching the extracted facial features and comparing the extracted facial features with feature data in a feature database.
3. A personalized product association system based on face recognition as claimed in claim 1, wherein the user terminal comprises a smart phone, a tablet computer and a notebook computer.
4. A personalized product association system based on face recognition as claimed in claim 1, wherein the files comprise picture and video files.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010106797.9A CN111325154A (en) | 2020-02-20 | 2020-02-20 | Individual product association system based on face recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010106797.9A CN111325154A (en) | 2020-02-20 | 2020-02-20 | Individual product association system based on face recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111325154A true CN111325154A (en) | 2020-06-23 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010106797.9A Pending CN111325154A (en) | 2020-02-20 | 2020-02-20 | Individual product association system based on face recognition |
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| Country | Link |
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| CN (1) | CN111325154A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108809992A (en) * | 2018-06-15 | 2018-11-13 | 黄玉新 | A kind of recognition of face verification system and its correlating method with goal systems |
| CN110188216A (en) * | 2019-05-24 | 2019-08-30 | 山西共致科技有限公司 | A kind of photo live broadcast system and its method with Text region |
-
2020
- 2020-02-20 CN CN202010106797.9A patent/CN111325154A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108809992A (en) * | 2018-06-15 | 2018-11-13 | 黄玉新 | A kind of recognition of face verification system and its correlating method with goal systems |
| CN110188216A (en) * | 2019-05-24 | 2019-08-30 | 山西共致科技有限公司 | A kind of photo live broadcast system and its method with Text region |
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