CN201993775U - Identification system - Google Patents
Identification system Download PDFInfo
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- CN201993775U CN201993775U CN2010206363237U CN201020636323U CN201993775U CN 201993775 U CN201993775 U CN 201993775U CN 2010206363237 U CN2010206363237 U CN 2010206363237U CN 201020636323 U CN201020636323 U CN 201020636323U CN 201993775 U CN201993775 U CN 201993775U
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- 230000003068 static effect Effects 0.000 claims abstract description 5
- 238000000605 extraction Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000001815 facial effect Effects 0.000 abstract description 13
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 1
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- 238000012797 qualification Methods 0.000 description 1
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Abstract
The utility model discloses an identification system for rapidly recognizing and positioning identities of personnel within a limited area so as to solve the problem of mistaken recognition of a user during identification in existing application. The identification system comprises an image acquiring device, a card reading device, a computing device and an image displaying terminal. The computing device is respectively connected with the image acquiring device and the card reading device, the image displaying terminal is connected with the computing device, the card reading device is used for acquiring facial feature information by the aid of an IC (integrated circuit) card with each facial feature information corresponding to a user, and the computing device is used for extracting the facial feature information according to static or dynamic images acquired by the image acquiring device, comparing similarity of the extracted facial feature information and the acquired facial feature information acquired by the card reading device and performing identification according to the similarity.
Description
Technical field
The utility model relates to a kind of identification system.
Background technology
Along with the development of society, the occasion that has requirement for identification is more and more.The usual way of identification at present is to check card, promptly the hand-held card of user for example non-contact IC be stuck on the corresponding card reader and swipe the card, card reader reads the card content and checks, to finish identification.
The problem that above-mentioned mode exists is that then this user is identified as other users if the user hands other people card, that is to say the problem that has mistake identification; Simultaneously, in the classroom or the meeting scene, leave early or away from keyboardly can't judge and record,, do not propose effective solution at present as yet for these problems for the participant.
The utility model content
Fundamental purpose of the present utility model provides a kind of identification system, exists mistake to discern user's problem when carrying out identification in order to solve in the prior art.
For addressing the above problem,, provide a kind of identification system according to an aspect of the present utility model.
Identification system of the present utility model comprises: image collecting device; Reader device; Calculation element is connected respectively with described reader device with described image collecting device; The display image terminal is connected with described calculation element; Described reader device is used for obtaining face characteristic information by IC-card, every corresponding user of face characteristic information; Static state or dynamic image that described calculation element is used for obtaining according to described image collecting device carry out the face characteristic information extraction, and the similarity of the face characteristic information obtained of the described face characteristic information of relatively being extracted and described reader device, and carry out identification according to this similarity.
Further, comprise one or more described image collecting devices in the described system, be connected with described calculation element respectively.
Further, comprise one or more reader devices in the described system, be connected with described calculation element respectively.
Further, image collecting device also is used for judging according to the face characteristic information that reader device reads in user's IC-card whether image that described image collecting device obtains exists the user corresponding to described face characteristic information in the setting-up time scope.
Further, described calculation element also is used for carrying out location tracking at people's face of having discerned and move in the monitoring range of described image collecting device, and the position of people's face that mark is followed the trail of in the image of output.
Further, calculation element also is used for judging according to the list of authorized users that sets in advance and whether knows others face corresponding to the user who has authorized.
Further, described display image terminal also is used for the image of output character and the transmission of described calculation element, and comprises the facial image that described image collecting device is gathered in this image, and this article word is positioned at the adjacent position of this facial image.
According to the technical solution of the utility model, can after getting access to user profile, confirm further according to the facial image that obtains whether this user really shows up again by IC-card, avoid hand-held other people user of card to be identified as these other people like this, thereby eliminated the situation of this mistake identification.
Description of drawings
Accompanying drawing described herein is used to provide further understanding of the present utility model, constitutes the application's a part, and illustrative examples of the present utility model and explanation thereof are used to explain the utility model, do not constitute improper qualification of the present utility model.In the accompanying drawings:
Fig. 1 is the layout synoptic diagram according to the chief component of the identification system of the utility model embodiment.
Embodiment
Below with reference to the accompanying drawings and in conjunction with the embodiments, describe the utility model in detail.
Fig. 1 is the layout synoptic diagram according to the chief component of the identification system of the utility model embodiment.This system can be used for being identified in the movable crowd in a place, routine room 10 as shown in Figure 1.This system mainly comprises image collecting device 11, reader device 12, calculation element 13 and display image terminal 14, and wherein calculation element 13 is connected respectively with image collecting device 11, reader device 12, and display image terminal 14 is connected with calculation element 14.
Adopt system shown in Figure 1 as can be seen, can after getting access to user profile, confirm further according to the facial image that obtains whether this user really shows up again by IC-card, avoid hand-held other people user of card to be identified as these other people like this, thereby eliminated the situation of this mistake identification.
In the bigger place of some areas, can adopt a plurality of image collecting devices to guarantee that each position in the place is all collected distinct image.A plurality of image collecting devices are connected respectively to calculation element with transmitted image.In this in addition bigger place a plurality of reader devices can also be installed, be convenient to personnel and swipe the card and enter.These reader devices also should be connected with calculation element respectively.
For example classroom or meeting room in some application scenarios, often the entry time to personnel has requirement, need note down for personnel late or that leave early.For realizing this effect, image collecting device 11 can also be used for judging according to the face characteristic information that reader device 12 reads in user's IC-card whether image that image collecting device 11 obtains exists the user corresponding to this face characteristic information in the setting-up time scope.If exist then illustrate that these personnel are not late, otherwise think that it is late and can be by relevant information of calculation element 13 these personnel of record.
In for example exhibition of other application scenarios, may also need the personnel that move are followed the tracks of.For realizing this effect, calculation element 13 also is used for carrying out location tracking at people's face of having discerned and move in the monitoring range of image collecting device 11, and the position of people's face that mark is followed the trail of in the image of output.
Have some occasions only to allow the personnel that authorize to enter, calculation element 13 can be judged according to the list of authorized users that sets in advance and whether knows others face corresponding to the user who has authorized for this reason.Undelegated like this user holds and enters that just to be identified it after this occasion be not authorized user.
System shown in Figure 1 can also be used to realizing the roll-call function, for example display image terminal 14 can output character and the image that sends of calculation element 13, and comprise the facial image that image collecting device 11 is gathered in this image, this article word is positioned at the adjacent position of this facial image.The facial image here can be intercept an and topography that comprise facial image from the image that image collecting device 11 is gathered.Like this, its face promptly is identified after personnel enter the place, and is presented on the display image terminal 14, and the information that also has these personnel that together shows is name for example, thereby makes the supvr who observes display image terminal 14 can know that these personnel march into the arena.
The above is a preferred embodiment of the present utility model only, is not limited to the utility model, and for a person skilled in the art, the utility model can have various changes and variation.All within spirit of the present utility model and principle, any modification of being done, be equal to replacement, improvement etc., all should be included within the protection domain of the present utility model.
Claims (4)
1. an identification system is characterized in that, comprising:
Image collecting device;
Reader device;
Calculation element is connected respectively with described reader device with described image collecting device;
The display image terminal is connected with described calculation element;
Described reader device is used for obtaining face characteristic information by IC-card, every corresponding user of face characteristic information;
Static state or dynamic image that described calculation element is used for obtaining according to described image collecting device carry out the face characteristic information extraction, and the similarity of the face characteristic information obtained of the described face characteristic information of relatively being extracted and described reader device, and carry out identification according to this similarity.
2. system according to claim 1 is characterized in that, comprises one or more described image collecting devices in the described system, is connected with described calculation element respectively.
3. system according to claim 1 is characterized in that, comprises one or more reader devices in the described system, is connected with described calculation element respectively.
4. system according to claim 1 is characterized in that, described display image terminal comprises the parts of the image that is used for output character and the transmission of described calculation element.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206363237U CN201993775U (en) | 2010-11-30 | 2010-11-30 | Identification system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206363237U CN201993775U (en) | 2010-11-30 | 2010-11-30 | Identification system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201993775U true CN201993775U (en) | 2011-09-28 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010206363237U Expired - Fee Related CN201993775U (en) | 2010-11-30 | 2010-11-30 | Identification system |
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| Country | Link |
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| CN (1) | CN201993775U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103093177A (en) * | 2011-10-28 | 2013-05-08 | 台湾色彩与影像科技股份有限公司 | Face identification, detection and monitoring method |
| CN106257493A (en) * | 2016-08-30 | 2016-12-28 | 重庆市城投金卡信息产业股份有限公司 | Traffic promotional card falsely uses recognition methods and identification system |
-
2010
- 2010-11-30 CN CN2010206363237U patent/CN201993775U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103093177A (en) * | 2011-10-28 | 2013-05-08 | 台湾色彩与影像科技股份有限公司 | Face identification, detection and monitoring method |
| CN106257493A (en) * | 2016-08-30 | 2016-12-28 | 重庆市城投金卡信息产业股份有限公司 | Traffic promotional card falsely uses recognition methods and identification system |
| CN106257493B (en) * | 2016-08-30 | 2024-03-19 | 重庆市城投金卡信息产业(集团)股份有限公司 | Identification method and identification system for traffic preference card |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110928 Termination date: 20141130 |
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| EXPY | Termination of patent right or utility model |