CN105160549A - Passenger flow statistical analysis system - Google Patents
Passenger flow statistical analysis system Download PDFInfo
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- CN105160549A CN105160549A CN201510516981.XA CN201510516981A CN105160549A CN 105160549 A CN105160549 A CN 105160549A CN 201510516981 A CN201510516981 A CN 201510516981A CN 105160549 A CN105160549 A CN 105160549A
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Abstract
The present invention relates to the field of advertising media, and discloses a passenger flow statistical analysis system. The passenger flow statistical analysis system is applicable to an advertising machine and comprises the following modules: an information collection module, a storage module, a face recognition module, an analysis module, and a statistical module, wherein the information collection module is configured to collect image information in front of the advertising machine; the storage module is configured to store the collected image information; the face recognition module is configured to recognize face information in the image information; the analysis module is configured to analyze a face feature and an expression feature in the image information; and the statistical module is configured to integrate advertisement information played by the advertising machine, a current time, and an analysis result output by the analysis module, to obtain, through statistics collection, a passenger flow characteristic in front of the advertising machine to form a statistical table. The passenger flow statistical analysis system is an android platform based analysis system between a server and an embedded device, and provides passenger flow statistical analysis data, to provide reference data for an intelligent advertisement system.
Description
Technical field
The present invention relates to advertisement media field, particularly relate to a kind of passenger flow statistics analytic system.
Background technology
Current passenger flow statistics analytic system on the market can be divided into following two classes:
One for retail trade designs such as market, department store, chain stores, and whole system comprises the camera of front end, middle connection cable and the data statistic analysis server of rear end.System adopts stable wired connection mode, and in data server, have huge storage area, therefore can adopt the mode carrying out again after recording high precision video processing, thus make software that complexity can be adopted higher but more accurate mode to carry out passenger flow statistics analysis.But software cost is too high, can only be arranged on high performance server.
Equations of The Second Kind is the mobile unit designed for bus etc., writes specific passenger flow analysing handling procedure in the process chip on embedded device, and analysis data is delivered in the data server on network by means such as 3G networks.This mode cost is lower, but because of embedded processing chip memory capacity and processing power limited, software can only adopt the algorithm that complexity is lower, is difficult to competent more complicated task.
To sum up, first kind software systems are huge, high to hardware requirement; Equations of The Second Kind software function is simple, but expansibility is bad, is therefore all not suitable for being placed in advertisement machine, at present on the market still not for the solution of advertisement machine industry.
Summary of the invention
For overcoming the deficiencies in the prior art, the object of the invention is: provide a kind of between server and embedded device, based on the passenger flow statistics analytic system of Android platform, provide guest flow statistics to analyze data, for smart ads system provides reference data.
In order to solve the technical matters in background technology, the invention provides a kind of passenger flow statistics analytic system, being applicable to advertisement machine, comprising with lower module:
Information acquisition module, for gathering the image information in advertisement machine front;
Memory module, for the image information of storage of collected;
Face recognition module, for identifying the face information in described image information;
Analysis module, for analyzing face characteristic in image information and expressive features;
Statistical module, the analysis result that the advertising message of putting for integrated commercial machine sowing, current time, analysis module export, to add up the passenger flow characteristic before drawing advertisement machine, forms statistical form.
Preferably, described face recognition module also comprises self-learning module, and described self-learning module has can the knowledge base of regular update.
Particularly, described analysis module utilizes neural network algorithm to carry out signature analysis to the face in described image information.
Preferably, described analysis module also comprises hold-up time computing module, and described hold-up time computing module, by carrying out locking computing to sequential frame image information, calculates the hold-up time of single portrait before advertisement machine.
Further, described system also comprises output module, for generating according to described statistical form and exporting data sheet.
Preferably, described output module comprises data-interface further, and described data-interface coordinates with smart ads system, and by described data-interface, described smart ads system throws in the advertisement of mating with described data sheet to advertisement machine.
Particularly, described data sheet provides the statistical form in units of day, the moon, season and year.
Preferably, described system also comprises mixed-media network modules mixed-media, and described system based on Android platform, and utilizes described mixed-media network modules mixed-media to carry out upgrading and upgrading.
Adopt technique scheme, passenger flow statistics analytic system of the present invention is a kind of between server and embedded device, based on the analytic system of Android platform, provides guest flow statistics to analyze data, for smart ads system provides reference data.
Accompanying drawing explanation
In order to be illustrated more clearly in technical scheme of the present invention, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the structured flowchart of the passenger flow statistics analytic system that the embodiment of the present invention provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under the prerequisite of not making creative work, all belongs to the scope of protection of the invention.
The structured flowchart of the passenger flow statistics analytic system that embodiment: Fig. 1 provides for the embodiment of the present invention, can clearly be seen that from figure, and the passenger flow statistics analytic system that the present embodiment provides is applicable to advertisement machine, comprises with lower module:
Information acquisition module, for gathering the image information in advertisement machine front;
Memory module, for the image information of storage of collected, described memory module is preferably database, and described database is also for storing the shared information of described other modules of system;
Face recognition module, for identifying the face information in described image information, described face recognition module also comprises self-learning module, described self-learning module has can the knowledge base of regular update, by storehouse of refreshing one's knowledge, make algorithm accuracy higher, each study all can allow knowledge base more accurate, can obtain up-to-date knowledge base from the webserver simultaneously;
Analysis module, for analyzing face characteristic in image information and expressive features, described analysis module utilizes neural network algorithm to carry out signature analysis to the face in described image information, physical features is associated with characteristics of image, learn the knowledge obtained, finally be summarized as a neural network, analyze on image have how many people by face information, what feature everyone has, as the age, height, sex etc., described analysis module also comprises hold-up time computing module, described hold-up time computing module is by carrying out locking computing to sequential frame image information, calculate the hold-up time of single portrait before advertisement machine,
Statistical module, the analysis result that the advertising message of putting for integrated commercial machine sowing, current time, analysis module export, to add up the passenger flow characteristic before drawing advertisement machine, forms statistical form.
Further, described system also comprises output module, for generating according to described statistical form and exporting data sheet, described data sheet provides the statistical form in units of day, the moon, season and year, described output module comprises data-interface further, described data-interface coordinates with smart ads system, and by described data-interface, described smart ads system throws in the advertisement of mating with described data sheet to advertisement machine.
Preferably, described system also comprises mixed-media network modules mixed-media, and described system based on Android platform, and utilizes described mixed-media network modules mixed-media to carry out upgrading and upgrading.
The present invention is directed to the demand of advertisement machine industry, the passenger flow statistics analytic system of customization, coordinate other system to realize a whole set of solution; Adopt the face recognition algorithms of self study, realize more accurate volume of passenger traffic statistics; Select on Android board, algorithm complex is between server and embedded device; Use the mode of Android APK to issue, by network upgrade, be better than the mode that embedded device needs programming chip again.Passenger flow statistics analytic system of the present invention coordinates smart ads system, and according to passenger flow analysing result, intelligence throws in advertisement, for smart ads system provides statistics, for advertisement media business decision-making provides Data support.
Passenger flow statistics analytic system of the present invention is a kind of between server and embedded device, based on the analytic system of Android platform, provides guest flow statistics to analyze data, for smart ads system provides reference data.
Above disclosedly be only several preferred embodiment of the present invention, certainly can not limit the interest field of the present invention with this, therefore according to the equivalent variations that the claims in the present invention are done, still belong to the scope that the present invention is contained.
Claims (8)
1. a passenger flow statistics analytic system, is characterized in that, is applicable to advertisement machine, comprises with lower module:
Information acquisition module, for gathering the image information in advertisement machine front;
Memory module, for the image information of storage of collected;
Face recognition module, for identifying the face information in described image information;
Analysis module, for analyzing face characteristic in image information and expressive features;
Statistical module, the analysis result that the advertising message of putting for integrated commercial machine sowing, current time, analysis module export, to add up the passenger flow characteristic before drawing advertisement machine, forms statistical form.
2. passenger flow statistics analytic system according to claim 1, is characterized in that, described face recognition module also comprises self-learning module, and described self-learning module has can the knowledge base of regular update.
3. passenger flow statistics analytic system according to claim 1, is characterized in that, described analysis module utilizes neural network algorithm to carry out signature analysis to the face in described image information.
4. passenger flow statistics analytic system according to claim 3, it is characterized in that, described analysis module also comprises hold-up time computing module, and described hold-up time computing module, by carrying out locking computing to sequential frame image information, calculates the hold-up time of single portrait before advertisement machine.
5. passenger flow statistics analytic system according to claim 1, is characterized in that, described system also comprises output module, for generating according to described statistical form and exporting data sheet.
6. passenger flow statistics analytic system according to claim 5, it is characterized in that, described output module comprises data-interface further, described data-interface coordinates with smart ads system, by described data-interface, described smart ads system throws in the advertisement of mating with described data sheet to advertisement machine.
7. passenger flow statistics analytic system according to claim 5, is characterized in that, described data sheet provides the statistical form in units of day, the moon, season and year.
8. according to the passenger flow statistics analytic system in claim 1-7 described in any one, it is characterized in that, described system also comprises mixed-media network modules mixed-media, and described system based on Android platform, and utilizes described mixed-media network modules mixed-media to carry out upgrading and upgrading.
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| CN201510516981.XA CN105160549A (en) | 2015-08-21 | 2015-08-21 | Passenger flow statistical analysis system |
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| CN201510516981.XA CN105160549A (en) | 2015-08-21 | 2015-08-21 | Passenger flow statistical analysis system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295597A (en) * | 2016-08-17 | 2017-01-04 | 浪潮电子信息产业股份有限公司 | A kind of method and device obtaining passenger flow information |
| CN107766817A (en) * | 2017-10-17 | 2018-03-06 | 广东码识图信息科技有限公司 | Passenger flow analysing methods, devices and systems based on living things feature recognition |
| CN108647612A (en) * | 2018-04-28 | 2018-10-12 | 成都睿码科技有限责任公司 | Billboard watches flow of the people analysis system |
| CN108805111A (en) * | 2018-09-07 | 2018-11-13 | 杭州善贾科技有限公司 | A kind of detection of passenger flow system and its detection method based on recognition of face |
| CN110135287A (en) * | 2019-04-28 | 2019-08-16 | 武汉澳易通电信科技有限公司 | A kind of face identification system and its recognition methods |
| CN110147784A (en) * | 2019-06-26 | 2019-08-20 | 苏州金螳螂怡和科技有限公司 | A kind of passenger flow recognition of face flow system |
| CN110310143A (en) * | 2019-05-22 | 2019-10-08 | 珠海绿卫士航空植保技术有限公司 | Dynamic adjustment advertisement machine system and its workflow based on neural network algorithm |
| TWI684938B (en) * | 2018-04-05 | 2020-02-11 | 日商矢崎能源系統公司 | Guidance system |
-
2015
- 2015-08-21 CN CN201510516981.XA patent/CN105160549A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295597A (en) * | 2016-08-17 | 2017-01-04 | 浪潮电子信息产业股份有限公司 | A kind of method and device obtaining passenger flow information |
| CN107766817A (en) * | 2017-10-17 | 2018-03-06 | 广东码识图信息科技有限公司 | Passenger flow analysing methods, devices and systems based on living things feature recognition |
| CN107766817B (en) * | 2017-10-17 | 2020-07-10 | 广东码识图信息科技有限公司 | Passenger flow analysis method, device and system based on biological feature recognition |
| TWI684938B (en) * | 2018-04-05 | 2020-02-11 | 日商矢崎能源系統公司 | Guidance system |
| CN108647612A (en) * | 2018-04-28 | 2018-10-12 | 成都睿码科技有限责任公司 | Billboard watches flow of the people analysis system |
| CN108805111A (en) * | 2018-09-07 | 2018-11-13 | 杭州善贾科技有限公司 | A kind of detection of passenger flow system and its detection method based on recognition of face |
| CN110135287A (en) * | 2019-04-28 | 2019-08-16 | 武汉澳易通电信科技有限公司 | A kind of face identification system and its recognition methods |
| CN110310143A (en) * | 2019-05-22 | 2019-10-08 | 珠海绿卫士航空植保技术有限公司 | Dynamic adjustment advertisement machine system and its workflow based on neural network algorithm |
| CN110147784A (en) * | 2019-06-26 | 2019-08-20 | 苏州金螳螂怡和科技有限公司 | A kind of passenger flow recognition of face flow system |
| CN110147784B (en) * | 2019-06-26 | 2024-03-26 | 苏州朗捷通智能科技有限公司 | Passenger flow face identification flow system |
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