CN105243358A - Face detection-based shopping recommendation system and method - Google Patents
Face detection-based shopping recommendation system and method Download PDFInfo
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- CN105243358A CN105243358A CN201510586364.7A CN201510586364A CN105243358A CN 105243358 A CN105243358 A CN 105243358A CN 201510586364 A CN201510586364 A CN 201510586364A CN 105243358 A CN105243358 A CN 105243358A
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- 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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- 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
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
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Abstract
The invention discloses a face detection-based shopping recommendation system and method. The method including the following steps that: step one, a camera device is utilized to acquire face images; step 2, acquired images are analyzed and processed, and face feature analysis and recognition technologies are utilized to recognize gender and age structures of figures in the images according to face features; step three, corresponding commodities are selected and recommended according to analysis and recognition results in the step two. The shopping recommendation system provided by the invention is efficient and can assist in reducing behaviors of a user such as aimlessly browse and click, and therefore, with the face detection-based shopping recommendation system adopted, the burden of a web server can be reduced, and network bandwidth resource occupation can be decreased.
Description
Technical field
The present invention relates to human face detection and tracing technical field, particularly relate to a kind of shopping commending system based on Face datection and method.
Background technology
Along with the development of ecommerce, increasing user selects in shopping online, and user, by browser access shopping website, just can select the commodity required for oneself easily.According to the buying intention of user, the user browsing shopping website can be divided into two classes: a kind of is the user with clear and definite buying intention; Another kind is the user without clear and definite buying intention, and comparatively speaking, this user, just shows around when browsing shopping website just as going window-shopping, if run into suitable commodity, just likely buys smoothly.
Browse shopping website user to select in the process of commodity, shopping website commending system plays a very important role, particularly to the user without clear and definite buying intention.An efficient commending system, not only can be user-friendly to, improve the trading volume of shopping website, the more important thing is behaviors such as can reducing user planlessly browses, click, thus alleviates the burden of Website server, save network bandwidth resources and take.And along with the development of science and technology, shopping at network, Mobile banking day by day prevailing and be people accept, smart mobile phone is as the general means of communication used in daily life, and possessed the effect being similar to PC, smart mobile phone has become one of important tool of people's shopping at network.
In recent years, as the important branch received much concern in biometrics identification technology, human face detection and tracing technology due to have untouchable, be easy to the advantages such as collection and be widely used in the every field such as video monitoring, man-machine interaction.Therefore, be necessary to propose a kind of technological means in fact, human face detection and tracing technology can be applied to shopping at network and recommend, to improve the efficiency of shopping at network commending system.
Summary of the invention
For overcoming the deficiency that above-mentioned prior art exists, the object of the present invention is to provide a kind of shopping commending system based on Face datection and method, it can provide one to do shopping efficiently commending system, planlessly to browse to reduce user, the behavior such as click, thus alleviate the burden of Website server, save network bandwidth resources and take.
For reaching above-mentioned and other object, the present invention proposes a kind of shopping commending system based on Face datection, comprising:
Face detection module, for gathering facial image;
Data Analysis Services module, for carrying out analysis and treament to the facial image gathered, utilizing Facial Feature Analysis recognition technology, identifying sex and the age composition of personage in image according to face characteristic;
Recommending module, selects corresponding commodity to be recommended according to the analysis result of this Data Analysis Services module.
Further, this Data Analysis Services module comprises gender identification module and Age estimation module, this gender identification module identifies the sex character of present image according to face characteristic, and this Age estimation module identifies the roughly age bracket judging present image according to face characteristic.
Further, this gender identification module judges the sex of present image according to the feature whether the hair length of tester in image or Adam's apple give prominence to.
Further, this Age estimation module according to the facial wrinkles of tester in image, canthus degree of sinking and face degree skin situation face characteristic judge the roughly age bracket of present image.
Further, described system is applied to the portable electric appts with display screen and camera, and described portable electric appts has face identification device.
Further, described portable electric appts is smart mobile phone or panel computer or personal digital assistant.
For achieving the above object, the present invention also provides a kind of shopping recommend method based on Face datection, comprises the steps:
Step one, utilizes camera head to gather facial image;
Step 2, carries out analysis and treament to the image gathered, utilizes Facial Feature Analysis recognition technology, identify sex and the age composition of personage in image according to face characteristic;
Step 3, selects corresponding commodity to be recommended according to the analysis recognition result of step 2.
Further, in step 2, the feature of whether giving prominence to according to hair length and the Adam's apple of tester in image judges the sex of present image.
Further, in step 2, identify the roughly age bracket of present image according to the face characteristic of the facial wrinkles of tester in image, canthus degree of sinking and face degree skin situation.
Further, this camera head is the camera that portable electric appts itself has.
Compared with prior art, a kind of shopping commending system based on Face datection of the present invention and method are by being applied to shopping at network by human face detection tech, provide one to do shopping efficiently commending system, planlessly to browse to reduce user, the behavior such as click, thus alleviate the burden of Website server, save network bandwidth resources and take.
Accompanying drawing explanation
Fig. 1 is the system architecture diagram of a kind of shopping commending system based on Face datection of the present invention;
Fig. 2 is the flow chart of steps of a kind of shopping recommend method based on Face datection of the present invention.
Embodiment
Below by way of specific instantiation and accompanying drawings embodiments of the present invention, those skilled in the art can understand other advantage of the present invention and effect easily by content disclosed in the present specification.The present invention is also implemented by other different instantiation or is applied, and the every details in this instructions also can based on different viewpoints and application, carries out various modification and change not deviating under spirit of the present invention.
Fig. 1 is the system architecture diagram of a kind of shopping commending system based on Face datection of the present invention.As shown in Figure 1, a kind of shopping commending system based on Face datection of the present invention, be applied to the portable electric appts with display screen and camera, this portable electric appts has face identification device, it can be smart mobile phone, panel computer, personal digital assistants etc. are portable electric appts arbitrarily, in present pre-ferred embodiments, this portable electric appts is the smart mobile phone with camera function with operating systems such as android or iOS, this shopping commending system comprises: face detection module 101, Data Analysis Services module 102 and recommending module 103.
Wherein face detection module 101 is for gathering facial image, and particularly, face detection module 101 utilizes camera head to gather facial image, in the present invention, and the camera that the camera head that face detection module 101 utilizes has for smart mobile phone itself; Data Analysis Services module 102, for carrying out analysis and treament to the image gathered, utilizing Facial Feature Analysis recognition technology, identifying sex and the age composition of personage in image according to face characteristic; Recommending module 103 selects corresponding commodity to be recommended according to the analysis result of Data Analysis Services module 102, such as, if detect current face be single and sex for the male sex time, then filter out all male article to be shown or the male article that filters out current hot topic is shown, if detect, current face is single and sex is women time, then filter out all female article and to be shown or the female article that filters out current hot topic is shown.
Particularly, Data Analysis Services module 102 comprises further: gender identification module 104 and Age estimation module 105, wherein gender identification module 104 identifies the sex character of present image according to face characteristic, such as, according to the sex of the hair length of tester in image and feature the judges present image such as whether Adam's apple outstanding; Age estimation module 105 identifies the age bracket judging present image according to face characteristic, namely by detecting the feature identification age of people, the such as heavy degree at wrinkle, canthus, the skin situation of face degree, recommending module 103 can recommend different commodity according to the difference at the sex identified, age, such as women pushes female article information, old man recommends old man's articles for use information, or the combination of sex and age information.
Fig. 2 is the flow chart of steps of a kind of shopping recommend method based on Face datection of the present invention.As shown in Figure 2, a kind of shopping recommend method based on Face datection of the present invention, comprises the steps:
Step 201, utilizes camera head to gather facial image.In present pre-ferred embodiments, the camera that this camera head has for smart mobile phone itself;
Step 202, carries out analysis and treament to the image gathered, utilizes Facial Feature Analysis recognition technology, identify sex and the age composition of personage in image according to face characteristic.Particularly, the sex of present image can be judged according to features such as whether the hair length of tester in image and Adam's apple outstanding, by detecting feature identification age of people, the such as heavy degree at wrinkle, canthus, the skin situation of face degree identify the roughly age bracket of present image.
Step 203, corresponding commodity are selected to be recommended according to the analysis recognition result of step 202, such as, if detect current face be single and sex for the male sex time, then filter out all male article to be shown or the male article that filters out current hot topic is shown, if detect, current face is single and sex is women time, then filter out all female article and to be shown or the female article that filters out current hot topic is shown.
Visible, a kind of shopping commending system based on Face datection of the present invention and method are by being applied to shopping at network by human face detection tech, provide one to do shopping efficiently commending system, planlessly to browse to reduce user, the behavior such as click, thus alleviate the burden of Website server, save network bandwidth resources and take.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any those skilled in the art all without prejudice under spirit of the present invention and category, can carry out modifying to above-described embodiment and change.Therefore, the scope of the present invention, should listed by claims.
Claims (10)
1., based on a shopping commending system for Face datection, comprising:
Face detection module, for gathering facial image;
Data Analysis Services module, for carrying out analysis and treament to the facial image gathered, utilizing Facial Feature Analysis recognition technology, identifying sex and the age composition of personage in image according to face characteristic;
Recommending module, selects corresponding commodity to be recommended according to the analysis result of this Data Analysis Services module.
2. a kind of shopping commending system based on Face datection as claimed in claim 1, it is characterized in that: this Data Analysis Services module comprises gender identification module and Age estimation module, this gender identification module identifies the sex character of present image according to face characteristic, and this Age estimation module identifies the roughly age bracket judging present image according to face characteristic.
3. a kind of shopping commending system based on Face datection as claimed in claim 2, is characterized in that: this gender identification module judges the sex of present image according to the feature whether the hair length of tester in image or Adam's apple give prominence to.
4. a kind of shopping commending system based on Face datection as claimed in claim 2, is characterized in that: this Age estimation module according to the facial wrinkles of tester in image, canthus degree of sinking and face degree skin situation face characteristic judge the roughly age bracket of present image.
5. a kind of shopping commending system based on Face datection as claimed in claim 1, it is characterized in that: described system is applied to the portable electric appts with display screen and camera, described portable electric appts has face identification device.
6. a kind of shopping commending system based on Face datection as claimed in claim 5, is characterized in that: described portable electric appts is smart mobile phone or panel computer or personal digital assistant.
7., based on a shopping recommend method for Face datection, comprise the steps:
Step one, utilizes camera head to gather facial image;
Step 2, carries out analysis and treament to the image gathered, utilizes Facial Feature Analysis recognition technology, identify sex and the age composition of personage in image according to face characteristic;
Step 3, selects corresponding commodity to be recommended according to the analysis recognition result of step 2.
8. a kind of shopping recommend method based on Face datection as claimed in claim 7, is characterized in that: in step 2, and the feature of whether giving prominence to according to hair length and the Adam's apple of tester in image judges the sex of present image.
9. a kind of shopping recommend method based on Face datection as claimed in claim 7, it is characterized in that: in step 2, identify the roughly age bracket of present image according to the face characteristic of the facial wrinkles of tester in image, canthus degree of sinking and face degree skin situation.
10. a kind of shopping recommend method based on Face datection as claimed in claim 7, is characterized in that: this camera head is the camera that portable electric appts itself has.
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| CN201510586364.7A CN105243358A (en) | 2015-09-15 | 2015-09-15 | Face detection-based shopping recommendation system and method |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127527A (en) * | 2016-06-28 | 2016-11-16 | 安徽润谷网络科技有限公司 | A kind of sales data processing method |
| CN106155620A (en) * | 2016-06-28 | 2016-11-23 | 广东欧珀移动通信有限公司 | Control method, control device and electronic installation |
| CN106303599A (en) * | 2016-08-11 | 2017-01-04 | 腾讯科技（深圳）有限公司 | A kind of information processing method, system and server |
| CN107169473A (en) * | 2017-06-10 | 2017-09-15 | 广东聚宜购家居网络科技有限公司 | A kind of recognition of face control system |
| CN107763961A (en) * | 2017-11-08 | 2018-03-06 | 绵阳美菱软件技术有限公司 | A kind of refrigerator and its service implementation method |
| CN107807999A (en) * | 2017-11-07 | 2018-03-16 | 杭州盟山网络科技有限公司 | Information-pushing method and device based on camera |
| CN107862263A (en) * | 2017-10-27 | 2018-03-30 | 苏州三星电子电脑有限公司 | The gender identification method of smart machine and sex identification device |
| CN108022152A (en) * | 2017-11-30 | 2018-05-11 | 北京长城华冠汽车技术开发有限公司 | The automatic commending system of user's commodity and recommendation method based on image recognition |
| CN108625098A (en) * | 2018-04-04 | 2018-10-09 | 青岛海尔洗衣机有限公司 | A kind of washing machine and method of identification facial image selection washing procedure |
| CN108876526A (en) * | 2018-06-06 | 2018-11-23 | 北京京东尚科信息技术有限公司 | Method of Commodity Recommendation, device and computer readable storage medium |
| CN108877797A (en) * | 2018-06-26 | 2018-11-23 | 上海早糯网络科技有限公司 | Actively interactive intelligent voice system |
| WO2019075652A1 (en) * | 2017-10-18 | 2019-04-25 | Inreality Limited | Expedite processing of facial recognition of people in a local network |
| CN109903124A (en) * | 2019-01-25 | 2019-06-18 | 广州富港万嘉智能科技有限公司 | A kind of user account automatic generation method, system, electronic equipment and storage medium |
| US10497014B2 (en) | 2016-04-22 | 2019-12-03 | Inreality Limited | Retail store digital shelf for recommending products utilizing facial recognition in a peer to peer network |
| CN111144283A (en) * | 2019-12-25 | 2020-05-12 | 辽宁工程技术大学 | Intelligent supermarket commodity recommendation system based on face recognition |
| CN113033263A (en) * | 2019-12-24 | 2021-06-25 | 深圳云天励飞技术有限公司 | Face image age feature recognition method |
| CN113836418A (en) * | 2021-09-27 | 2021-12-24 | 百度在线网络技术（北京）有限公司 | Data pushing method and device, electronic equipment and storage medium |
-
2015
- 2015-09-15 CN CN201510586364.7A patent/CN105243358A/en active Pending
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10497014B2 (en) | 2016-04-22 | 2019-12-03 | Inreality Limited | Retail store digital shelf for recommending products utilizing facial recognition in a peer to peer network |
| CN106127527A (en) * | 2016-06-28 | 2016-11-16 | 安徽润谷网络科技有限公司 | A kind of sales data processing method |
| CN106155620A (en) * | 2016-06-28 | 2016-11-23 | 广东欧珀移动通信有限公司 | Control method, control device and electronic installation |
| CN106155620B (en) * | 2016-06-28 | 2019-08-09 | Oppo广东移动通信有限公司 | Control method, control device and electronic device |
| CN106303599A (en) * | 2016-08-11 | 2017-01-04 | 腾讯科技（深圳）有限公司 | A kind of information processing method, system and server |
| CN106303599B (en) * | 2016-08-11 | 2021-04-06 | 腾讯科技（深圳）有限公司 | Information processing method, system and server |
| CN107169473A (en) * | 2017-06-10 | 2017-09-15 | 广东聚宜购家居网络科技有限公司 | A kind of recognition of face control system |
| WO2019075652A1 (en) * | 2017-10-18 | 2019-04-25 | Inreality Limited | Expedite processing of facial recognition of people in a local network |
| CN107862263A (en) * | 2017-10-27 | 2018-03-30 | 苏州三星电子电脑有限公司 | The gender identification method of smart machine and sex identification device |
| CN107807999A (en) * | 2017-11-07 | 2018-03-16 | 杭州盟山网络科技有限公司 | Information-pushing method and device based on camera |
| CN107763961A (en) * | 2017-11-08 | 2018-03-06 | 绵阳美菱软件技术有限公司 | A kind of refrigerator and its service implementation method |
| CN108022152A (en) * | 2017-11-30 | 2018-05-11 | 北京长城华冠汽车技术开发有限公司 | The automatic commending system of user's commodity and recommendation method based on image recognition |
| CN108625098A (en) * | 2018-04-04 | 2018-10-09 | 青岛海尔洗衣机有限公司 | A kind of washing machine and method of identification facial image selection washing procedure |
| CN108876526A (en) * | 2018-06-06 | 2018-11-23 | 北京京东尚科信息技术有限公司 | Method of Commodity Recommendation, device and computer readable storage medium |
| CN108877797A (en) * | 2018-06-26 | 2018-11-23 | 上海早糯网络科技有限公司 | Actively interactive intelligent voice system |
| CN109903124A (en) * | 2019-01-25 | 2019-06-18 | 广州富港万嘉智能科技有限公司 | A kind of user account automatic generation method, system, electronic equipment and storage medium |
| CN113033263A (en) * | 2019-12-24 | 2021-06-25 | 深圳云天励飞技术有限公司 | Face image age feature recognition method |
| CN113033263B (en) * | 2019-12-24 | 2024-06-11 | 深圳云天励飞技术有限公司 | Face image age characteristic recognition method |
| CN111144283A (en) * | 2019-12-25 | 2020-05-12 | 辽宁工程技术大学 | Intelligent supermarket commodity recommendation system based on face recognition |
| CN113836418A (en) * | 2021-09-27 | 2021-12-24 | 百度在线网络技术（北京）有限公司 | Data pushing method and device, electronic equipment and storage medium |
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