CN204887001U - Biological identification system based on CAN bus connection - Google Patents
Biological identification system based on CAN bus connection Download PDFInfo
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- CN204887001U CN204887001U CN201520592867.0U CN201520592867U CN204887001U CN 204887001 U CN204887001 U CN 204887001U CN 201520592867 U CN201520592867 U CN 201520592867U CN 204887001 U CN204887001 U CN 204887001U
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Abstract
The utility model discloses a biological identification system based on CAN bus connection. The system includes a plurality of biological data acquisition sensors, a plurality of controller and surveillance center, biological data acquisition sensor is used for gathering the biological data of user and conveys the controller, the controller is used for receiving and handles the biological data of user, the controller passes through the CAN bus and is connected with biological data acquisition sensor or other controllers, the controller all is connected with the surveillance center through the network. The utility model discloses an utilize the CAN bus to carry out the data network deployment to a plurality of controllers and biological data acquisition sensor, realized the two -way data interconnection between controller and controller, controller and the biological data acquisition sensor, strengthened the reliability and the stability of biological identification system, and transmission system transmission distance is long and data transmission is stable more, high -speed, effective. The utility model discloses but wide application in various biological identification systems.
Description
Technical field
The utility model relates to technical field of biometric identification, particularly relates to a kind of system interaction method and system of bio-identification.
Background technology
So-called biological identification technology is exactly, closely be combined with high-tech means such as optics, acoustics, biology sensor and biostatistics principles by computer, utilize the physiological property that human body is intrinsic, (as fingerprint, face resemble, iris etc.) and behavioural characteristic (as person's handwriting, sound, gait etc.) carry out the qualification of personal identification.According to IBG(InternationalBiometricGroup, international bio identification group) statistics of 2009 years, market has the multiple application for different physiological characteristic and behavioural characteristic.Wherein, what occupation rate was the highest has been exactly fingerprint recognition.
Due to bio-identification calculation of complex, data volume is large.If the biological recognition system that multiple bio-identification terminal is built, so need the network architecture of building data interconnection just can realize resource-sharing and data interconnection.
As adopted data and identifying the scheme calculating and focus at central server, for the system that user data is huge, central server needs to store a large amount of user data, and utilize these data processing customer identification informations, huge load pressure is caused to central server, have impact on computational speed and accuracy.Such as, a community fingerprint entrance guard system having 10,000 users, if adopt central server to focus on mode, because data volume is large, the fingerprint recognition action of each user all needs to be calculated by central server.Central server needs to perform a large amount of contrast contings on the one hand, and expend time in length; On the other hand due to data volume huge (within general storage 5000 fingerprints, system mistake rate can remain on reduced levels), calculating prolongeding time is long, easily occurs erroneous judgement.
If adopt multiple terminal to store separately and identify the scheme of calculating, on the one hand because the memory capacity of single terminal is little, storage and the calculating of small data quantity can only be realized; On the other hand owing to cannot realize sharing of data and resource between terminal and terminal, the data of user often need repeated storage, cause the wasting of resources.Such as, a community fingerprint entrance guard system with multiple door control terminal, can by identifying checking at door control terminal A and B if user's first is wanted, need at door control terminal A and B typing fingerprint respectively, door control terminal A and B all needs the finger print data storing user's first, causes the waste of memory space resource.
But, biological recognition system of the prior art or half-duplex data transmission can only be realized, the same time can only transmit the signal in a direction, conveniently cannot realize data sharing, as RS485 networking mode; Transmission range is short, can not realize it and can not realize Long-range Data Transmission, as RS232 networking mode; Build hardware cost high, need all to dispose specific communications module, as TCP/IP networking mode.The equal existing defects of above networking mode, can not meet consumers' demand.
Secondly, in existing RS232 or RS485 networking mode, if number of devices is more than 2, RS485 just must be used to do communication media, the equipment room of RS485 net is wanted to exchange information to only have and could be realized by " main (Master) " equipment transfer, this main equipment normally PC, and only allows existence main equipment in this facility network, all the other are all from (Slave) equipment, are unfavorable for data sharing and the broadcast of each terminal in biological recognition system.
Finally, there is communication distance shorter (<1.5km) in the serial communication modes such as RS232 or RS485, the problems such as transmission rate is lower, and biological data generally includes a large amount of view data, the defect of conventional serial communication mode has a strong impact on the use safety of biological recognition system and effectively controls.In sum, the communication modes adopted due to existing biological recognition system and the function of control mode limited, cause the hardware poor expandability of biological recognition system, the function upgrading and the exploitation that restrict whole biological recognition system upgrade, and can not meet the functional requirement in biological recognition system market gradually.
Utility model content
In order to solve the problems of the technologies described above, the purpose of this utility model is to provide and a kind ofly conveniently can realizes data sharing, transmission speed is fast, stability is high, transmission range is long and system building cost is low biological recognition system.
The technical scheme that the utility model adopts is:
A kind of biological recognition system connected based on CAN, described system comprises multiple biometric data collection transducer, multiple controller and Surveillance center, described biometric data collection transducer is for gathering user biological data and being sent to controller, described controller is used for receiving and process user biological data, described controller is connected with biometric data collection transducer or other controller by CAN, and described controller is all connected with Surveillance center by network.
Preferably, described multiple biometric data collection transducer is all connected to controller by CAN, and described controller is connected to Surveillance center.
Preferably, described multiple controller comprises master controller and sub-controller, and described master controller connects multiple sub-controller respectively by CAN, and described sub-controller is connected with biometric data collection transducer, and described master controller is connected to Surveillance center.
Preferably, described sub-controller is also connected with out door switch and electric control lock respectively.
Preferably, described sub-controller is connected with biometric data collection transducer by CAN.
Preferably, described biometric data collection transducer is fingerprint Identification sensor or recognition of face transducer or iris recognition transducer.
Preferably, described biological recognition system is multilayer networking structure, and described Surveillance center comprises multi-layer Surveillance center, and wherein bottom Surveillance center is connected with multiple controller, and various level Surveillance center is connected to each other by network.
Preferably, described network is TCP/IP network.
The beneficial effects of the utility model are:
The utility model carries out data networking by utilizing CAN to multiple controller and biometric data collection transducer, achieve controller and controller, bi-directional data between controller and biometric data collection transducer is interconnected, system transfers distance and transfer of data be more stable, at a high speed, effectively, thus be conducive to realizing the computational resource of different controller and biometric data collection transducer and sharing of data resource, and then be conducive to Appropriate application and optimize the distribution of resource; Enhance the reliability and stability of biological recognition system; And, system building cost is low, has good economic and social benefit.
The utility model can be widely used in various biological recognition system.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, embodiment of the present utility model is described further:
Fig. 1 is the system block diagram of a kind of embodiment of the utility model biological recognition system.
Embodiment
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.
As shown in Figure 1, a kind of biological recognition system connected based on CAN, described system comprises multiple biometric data collection transducer, multiple controller and Surveillance center, described biometric data collection transducer is for gathering user biological data and being sent to controller, described controller is used for receiving and process user biological data, described controller is connected with biometric data collection transducer or other controller by CAN, and described controller is all connected with Surveillance center by network.
By the annexation of each module of system of the present utility model and each intermodule, controller or biological pick-up transducers carry out data broadcast by CAN, other controllers or the biological acquisition terminal that make to be connected to CAN can receive broadcast data, and other controllers or biological acquisition terminal carry out reply response by CAN to the controller or biological pick-up transducers that send data broadcast.Such as, have in the community fingerprint entrance guard system of 10,000 users at one, this community is provided with four doors at four corners of the world four direction, each Men Jun is provided with fingerprint Identification sensor, each fingerprint Identification sensor is connected to controller by CAN, controller is connected to the estate management Surveillance center in community, in each fingerprint Identification sensor, active registration has the finger print data of 2500 users respectively, the finger print data active registration of user's first is in the fingerprint Identification sensor at east gate, and the finger print data active registration of user's second is in north gate.If utilize the utility model biological recognition system, when first needs to enter community from east gate time, the fingerprint Identification sensor at east gate collects the finger print data of first, and the finger print data contrast of local active registration, can open the door by Direct driver electric control lock after being verified.When user's second needs to enter community from east gate time, the fingerprint Identification sensor at east gate collects the finger print data of second, and judge the fingerprint Identification sensor active registration of finger print data not at east gate of second, then the finger print data of second is sent to fingerprint Identification sensor and the estate management Surveillance center of four doors in the four corners of the world by CAN broadcast; After north gate receives the finger print data of second, contrast, after being verified, the result is sent back east gate fingerprint Identification sensor with the finger print data of north gate active registration, east gate fingerprint Identification sensor receives the result rear drive electric control lock and opens the door.
As the utility model the first preferred embodiment, described multiple biometric data collection transducer is all connected to controller by CAN, and described controller is connected to Surveillance center.
As the utility model the second preferred embodiment, described multiple controller comprises master controller and sub-controller, described master controller connects multiple sub-controller respectively by CAN, described sub-controller is connected with biometric data collection transducer, and described master controller is connected to Surveillance center.Described sub-controller is also connected with out door switch and electric control lock respectively.Described sub-controller is connected with biometric data collection transducer by CAN.
Preferably, described biometric data collection transducer is fingerprint Identification sensor or recognition of face transducer or iris recognition sensor.
Preferably, described biological recognition system is multilayer networking structure, and described Surveillance center comprises multi-layer Surveillance center, and wherein bottom Surveillance center is connected with multiple controller, each bottom Surveillance center manages a bottom subsystem, and various level Surveillance center is connected to each other by network.As shown in Figure 1, biological recognition system comprises secondary Surveillance center and three grades of Surveillance center.Described network is TCP/IP network.
The utility model carries out data networking by utilizing CAN to multiple controller and biometric data collection transducer, achieve controller and controller, bi-directional data between controller and biometric data collection transducer is interconnected, system transfers distance and transfer of data be more stable, at a high speed, effectively, thus be conducive to realizing the computational resource of different controller and biometric data collection transducer and sharing of data resource, and then be conducive to Appropriate application and optimize the distribution of resource; Enhance the reliability and stability of biological recognition system; And system building cost is low, there is good economic and social benefit.
The utility model can be widely used in various biological recognition system.
More than that better enforcement of the present utility model is illustrated, but the utility model is created and is not limited to described embodiment, those of ordinary skill in the art also can make all equivalent variations or replacement under the prerequisite without prejudice to the utility model spirit, and these equivalent distortion or replacement are all included in the application's claim limited range.
Claims (8)
1. the biological recognition system connected based on CAN, it is characterized in that, described system comprises multiple biometric data collection transducer, multiple controller and Surveillance center, described biometric data collection transducer is for gathering user biological data and being sent to controller, described controller is used for receiving and process user biological data, described controller is connected with biometric data collection transducer or other controller by CAN, and described controller is all connected with Surveillance center by network.
2. a kind of biological recognition system connected based on CAN according to claim 1, it is characterized in that, described multiple biometric data collection transducer is all connected to controller by CAN, and described controller is connected to Surveillance center.
3. a kind of biological recognition system connected based on CAN according to claim 1, it is characterized in that, described multiple controller comprises master controller and sub-controller, described master controller connects multiple sub-controller respectively by CAN, described sub-controller is connected with biometric data collection transducer, and described master controller is connected to Surveillance center.
4. a kind of biological recognition system connected based on CAN according to claim 3, it is characterized in that, described sub-controller is also connected with out door switch and electric control lock respectively.
5. a kind of biological recognition system connected based on CAN according to claim 4, it is characterized in that, described sub-controller is connected with biometric data collection transducer by CAN.
6. a kind of biological recognition system connected based on CAN according to any one of claim 1 to 5, is characterized in that, described biometric data collection transducer is fingerprint Identification sensor or recognition of face transducer or iris recognition transducer.
7. a kind of biological recognition system connected based on CAN according to claim 6, it is characterized in that, described biological recognition system is multilayer networking structure, described Surveillance center comprises multi-layer Surveillance center, wherein bottom Surveillance center is connected with multiple controller, and various level Surveillance center is connected to each other by network.
8. a kind of biological recognition system connected based on CAN according to claim 1,2,3,4,5 or 7, it is characterized in that, described network is TCP/IP network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520592867.0U CN204887001U (en) | 2015-08-03 | 2015-08-03 | Biological identification system based on CAN bus connection |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520592867.0U CN204887001U (en) | 2015-08-03 | 2015-08-03 | Biological identification system based on CAN bus connection |
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| CN204887001U true CN204887001U (en) | 2015-12-16 |
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| CN201520592867.0U Expired - Fee Related CN204887001U (en) | 2015-08-03 | 2015-08-03 | Biological identification system based on CAN bus connection |
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2015
- 2015-08-03 CN CN201520592867.0U patent/CN204887001U/en not_active Expired - Fee Related
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151216 Termination date: 20210803 |