CN111476933A - Data acquisition system based on bank counter business - Google Patents

Data acquisition system based on bank counter business Download PDF

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CN111476933A
CN111476933A CN202010301453.3A CN202010301453A CN111476933A CN 111476933 A CN111476933 A CN 111476933A CN 202010301453 A CN202010301453 A CN 202010301453A CN 111476933 A CN111476933 A CN 111476933A
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CN111476933B (en
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余成伟
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Sichuan Boyuan Technology Co ltd
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Sichuan Boyuan Technology Co ltd
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Abstract

The invention discloses a data acquisition system based on bank counter business, comprising: the business reservation module is used for performing online reservation of business processing by the bank member; the hall entrance detection module is used for carrying out security detection on bank members entering a bank; the service type confirmation module is used for confirming the services which need to be transacted by the bank members; the identity recognition module is used for carrying out identity recognition on the bank members; the external behavior identification module is used for identifying the external behaviors of the bank members; and a physiological characteristic identification module. Can carry out manual service according to different demands when handling the business of different authorities by the initiative distribution counter service personnel, if: the client only deals with the low-authority service at the counter, the client deals with a part of the low-authority service and a part of the high-authority service at the counter, and the like, and the bank saves corresponding labor cost.

Description

Data acquisition system based on bank counter business
Technical Field
The invention belongs to the technical field of information acquisition, and particularly relates to a data acquisition system based on bank counter business.
Background
At present, self-service banks are popular with all banks because of the ability to serve all weather and to greatly distribute counter reception pressure. The optimization design, improvement and the like aiming at the unmanned bank are also endless. However, at present, an unmanned bank can only carry out simple transactions such as depositing and withdrawing money, exchanging money, paying fees, printing vouchers and the like, and partial services with higher authority such as large-amount depositing and withdrawing money, bank information modification, account opening/account selling and the like are required to be completed by manual counters.
The bank with the manual service is comprehensive service, automatic service or manual service cannot be selected according to different degrees of business, and great unreasonable use is made for labor cost; that is to say, the bank of manual service, no matter the customer needs to handle the business of low authority, need handle the business of high authority, all adopt the mode of manual service to carry out the mode of no difference processing, the whole journey all makes the counter service personnel of manual service accompany and handle, nevertheless, when the customer only need handle low authority business, it can only need self-service processing in fact, at this moment, the cost of counter service personnel can be saved to the bank, or, let counter service personnel go to handle the business that corresponds the high authority, so-called good steel is used on the cutting edge.
Therefore, the applicant considers that it is necessary to provide a manual service bank based on a data acquisition system of the bank counter business. On the one hand, can be when handling the business of different authorities initiatively distribute counter service personnel and carry out manual service according to different demands, if: the client only deals with the low-authority service at the counter, the client deals with a part of the low-authority service and a part of the high-authority service at the counter, and the like, and the bank saves corresponding labor cost. On the other hand, counter service personnel can not feel tired and uninteresting after processing some low-authority businesses for a long time, which causes careless errors in some businesses, and on the contrary, the counter service personnel can feel that the high-authority businesses processed by the counter service personnel are important, and keep a tense state with a certain aim, thereby avoiding economic loss caused by manual errors of a part of banks.
The invention provides a data acquisition system based on bank counter business to overcome the defects.
Disclosure of Invention
The invention aims to provide a data acquisition system based on bank counter business, which is used for solving one of the technical problems in the prior art, such as: self-service banks are popular with all banks because they can serve all weather and greatly distribute reception pressure of the counter. The optimization design, improvement and the like aiming at the unmanned bank are also endless. However, the existing unmanned bank still can only carry out simple transactions, such as depositing and withdrawing money, exchanging money, paying fees, printing voucher and the like, and the related services with higher authority, such as large-amount depositing and withdrawing money, bank information modification, account opening/account selling and the like, are necessarily completed by manual counters. The bank with the manual service is comprehensive service, automatic service or manual service cannot be selected according to different degrees of business, and great unreasonable use is made for labor cost; that is to say, the bank of manual service, no matter the customer need handle the business of low authority, need handle the business of high authority, all adopt the mode of manual service to carry out the mode of no difference processing, the counter service staff that all makes manual service accompanies and handles in the whole journey, however, when the customer only need handle low authority business, it can only need help the processing certainly, at this moment, the cost of counter service staff can be saved to the bank, or, let counter service staff go to handle the business that corresponds the high authority, so-called good steel is used on the cutting edge. Therefore, it is necessary to provide a manually serviced bank based on a data acquisition system of the bank counter business. On the one hand, can be when handling the business of different authorities initiatively distribute counter service personnel and carry out manual service according to different demands, if: the client only handles low-authority business at the counter, the client handles a part of low-authority business and a part of high-authority business at the counter, and the like, so that the bank saves corresponding labor cost. On the other hand, counter service personnel can not feel tired and uninteresting to process some low-authority businesses for a long time to cause careless errors in some businesses, and on the contrary, the counter service personnel can feel that the high-authority businesses processed by the counter service personnel are important to keep a tense state and aim at the moment, so that the economic loss caused by manual errors of a part of banks is avoided.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a data collection system based on bank counter business, comprising:
the business reservation module is used for performing online reservation of business processing by the bank member;
the hall entrance detection module is used for carrying out security detection on bank members entering a bank;
the service type confirmation module is used for confirming the services which need to be transacted by the bank members;
the identity recognition module is used for carrying out identity recognition on the bank members;
the external behavior identification module is used for identifying the external behaviors of the bank members;
the physiological characteristic identification module is used for identifying the physiological characteristics of the bank members;
the service reservation module comprises:
the account number reservation unit is used for performing online reservation by the bank member according to the member account number of the bank member;
the service preliminary judgment unit is used for preliminarily judging the service type required by the bank member according to the reservation information after the bank member completes the online reservation;
the service personnel preliminary allocation unit is used for carrying out preliminary allocation on counter service personnel according to a judgment result after the preliminary judgment of the service is finished;
the access control password distribution unit is used for distributing a hall access control password to the bank members after the bank members complete online reservation;
the hall entrance detection module includes:
the access control password verification unit is used for verifying an access control password of a bank hall of a bank member, allowing the bank member to enter when the password verification is successful, and otherwise, performing abnormal alarm and sending abnormal alarm information to bank security personnel;
the dangerous goods detection unit is used for detecting whether the bank member carries dangerous goods or not, performing abnormal alarm when the bank member carries the dangerous goods and sending abnormal alarm information to bank guard personnel;
the service confirmation module comprises:
the business secondary judgment unit is used for secondarily judging the business type required by the bank member after the bank member completes business basic information input in the counter;
the service personnel secondary confirmation unit confirms actual service personnel from the primarily judged service personnel and the secondarily judged service personnel;
and the business classification unit classifies the actual business requirements of the bank members according to the authority, namely, the business classification unit correspondingly comprises: the bank member independently carries out self-service business processing or carries out interactive business processing with counter service personnel;
the identity recognition module comprises:
the identity card identification unit is used for identifying the identity card information of the bank member and giving an abnormal alarm if the identity card information is not matched with the real-name system information prestored in the identity card identification unit;
the bank card identification unit is used for identifying bank card information of the bank member and sending an abnormal alarm if the bank card information is not matched with the real-name system information prestored in the bank member;
the mobile phone number verification unit is used for verifying the mobile phone number of the bank member and sending an abnormal alarm if the mobile phone number is not matched with the pre-stored real-name system information;
the face recognition unit is used for recognizing the face information of the bank member and giving an abnormal alarm if the face information is not matched with the pre-stored real-name system information;
the voiceprint recognition unit is used for recognizing voiceprint information of the bank member and giving an abnormal alarm if the voiceprint information is not matched with the pre-stored real-name system information;
the fingerprint identification unit is used for identifying fingerprint information of the bank member and giving an abnormal alarm if the fingerprint information is not matched with the real-name system information prestored in the bank member;
the iris identification unit is used for identifying iris information of the bank member and giving an abnormal alarm if the iris information is not matched with the pre-stored real-name system information;
the external behavior recognition module includes:
the camera shooting unit is used for acquiring the facial expressions, body shaking conditions and pupil catch of the bank members;
the voice detection unit is used for acquiring the voice frequency and the intermittent degree of the bank member;
the physiological characteristic identification module comprises:
the hidden counter pulse detection unit is hidden at the position of a counter table top which is arranged on the wrist of a bank member and is bound to contact with the wrist of the bank member, is used for detecting the pulse information of the bank member, and sends alarm information to counter service personnel and bank guard personnel if the pulse information is not matched with the pre-stored real-name information;
the hidden seat heart rate detection unit is hidden and installed on a seat where the bank member sits and used for detecting the heart rate information of the bank member, and if the heart rate information is not matched with the pre-stored real-name system information, alarm information is sent to counter service personnel and bank guard personnel;
the hidden infrared temperature detection unit is hidden and installed at a counter where the bank member is located and used for detecting the whole-body infrared temperature information of the bank member, and sending alarm information to counter service personnel and bank guard personnel if the whole-body infrared temperature information is not matched with the pre-stored real-name system information;
when the bank member is not a newly registered bank member on the day, the pre-stored real-name system information comes from the historical data; when the bank member is a newly registered bank member on the current day, the pre-stored real-name system information of the bank member comes from historical data pre-stored in other banks.
Preferably, the camera unit comprises a common camera device and a hidden standby camera device;
the data transmission mode of the common camera device comprises wired transmission and wireless transmission;
when the wired transmission of the common camera device is damaged, the wireless transmission mode of the common camera device is automatically started;
and when the data acquisition or wireless transmission of the common camera device is damaged, the hidden standby camera device is automatically driven to act.
Preferably, the physiological characteristic identification module further comprises:
the hidden ground weighing unit is used for collecting the weight information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
the hidden height scanning unit is used for collecting the height information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
the hidden type three-dimensional scanning unit is used for collecting the three-dimensional information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
and when the data acquisition, the wired transmission or the wireless transmission of the common camera device is damaged, the voiceprint recognition unit acquires the voiceprint information, the sound loudness information and the sound frequency information of the bank member.
Preferably, a camera memory card is arranged in the common camera device;
when data collection, wired transmission or wireless transmission of the common camera device is damaged, the common camera device automatically damages the camera memory card.
Preferably, a camera memory card plugging structure and a camera memory card inducing structure are arranged in the common camera device;
when the camera memory card is pulled out through the camera memory card plugging structure, the camera memory card can be normally pulled out in a normal pulling mode;
when the camera memory card is pulled out through the camera memory card inducing structure, the camera memory card is in an abnormal pulling mode and can not be pulled out and is automatically damaged by the common camera device.
Preferably, the shooting memory card inducing structure is further provided with a pressure sensing unit, a pressure signal comparing unit, a storage unit and a driving unit;
the pressure sensing unit is used for detecting real-time pressure applied to the camera shooting memory card inducing structure;
the storage unit is used for storing a preset pressure threshold value;
the pressure signal comparison unit is used for comparing the real-time pressure with the pressure threshold value, and sending a driving signal to the driving unit when the real-time pressure exceeds the pressure threshold value;
the driving unit is used for driving the common camera device to damage the camera memory card after receiving the driving signal.
Preferably, the system further comprises an identity information verification module, wherein the identity information verification module is configured to:
acquiring historical fingerprint data, historical voiceprint data, historical face data and historical iris data of a bank member, and taking the historical fingerprint data, the historical voiceprint data, the historical face data and the historical iris data as a sample set;
taking one part of data in the sample set as a training set, and taking the other part of data in the sample set as a testing set;
taking historical fingerprint data, historical voiceprint data and historical face data in a training set as the input of a neural network model, and taking historical iris data in the training set as the output of the neural network model to obtain a preliminary verification neural network model;
taking historical fingerprint data, historical voiceprint data and historical face data in the test set as input of a neural network model, and taking historical iris data in the test set as output of the neural network model to obtain an optimized verification neural network model;
taking real-time face data collected by a face recognition unit, real-time voiceprint data collected by a voiceprint recognition unit and real-time fingerprint data collected by a fingerprint recognition unit as the input of the optimization verification neural network model, and outputting the optimization verification neural network model to obtain predicted iris data;
and comparing and judging the real-time iris data acquired by the iris identification unit with the predicted iris data, and if the real-time iris data is matched with the predicted iris data, canceling an abnormal alarm.
Preferably, the first and second liquid crystal materials are,
sending an abnormal alarm when the identity card information is not matched with the pre-stored real-name system information, triggering secondary matching by the identity card identification unit, namely repeatedly performing the matching process of the identity card information and the pre-stored real-name system information, if the identity card information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the identity card information is matched with the pre-stored real-name system information, cancelling the abnormal alarm;
sending an abnormal alarm when the information of the bank card is not matched with the pre-stored real-name information, triggering secondary matching by the bank card identification unit, namely repeatedly performing the matching process of the information of the bank card and the pre-stored real-name information, if the information of the bank card is not matched with the pre-stored real-name information, enhancing the abnormal alarm intensity, and if the information of the bank card is matched with the pre-stored real-name information, canceling the abnormal alarm;
sending an abnormal alarm when the mobile phone number is not matched with the pre-stored real-name system information, triggering secondary matching by the mobile phone number verification unit, namely repeatedly performing the matching process of the mobile phone number and the pre-stored real-name system information, if the mobile phone number is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the mobile phone number is matched with the pre-stored real-name system information, cancelling the abnormal alarm;
sending an abnormal alarm when the face information is not matched with the pre-stored real-name system information, triggering secondary matching by the face recognition unit, namely repeatedly performing the matching process of the face information and the pre-stored real-name system information, if the face information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the face information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
sending an abnormal alarm when the voiceprint information is not matched with the pre-stored real-name system information, triggering secondary matching by the voiceprint identification unit, namely repeatedly performing the matching process of the voiceprint information and the pre-stored real-name system information, if the voiceprint information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the voiceprint information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
sending an abnormal alarm when the fingerprint information is not matched with the pre-stored real-name system information, triggering secondary matching by the fingerprint identification unit, namely repeatedly performing the matching process of the fingerprint information and the pre-stored real-name system information, if the fingerprint information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the fingerprint information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
and sending an abnormal alarm when the iris information is not matched with the pre-stored real-name information, triggering secondary matching by the iris identification unit, namely repeatedly performing the matching process of the iris information and the pre-stored real-name information, enhancing the abnormal alarm intensity if the iris information is not matched with the pre-stored real-name information, and canceling the abnormal alarm if the iris information is matched with the pre-stored real-name information.
Compared with the prior art, the invention has the beneficial effects that:
1. on the one hand, can be when handling the business of different authorities initiatively distribute counter service personnel and carry out manual service according to different demands, if: the client only deals with the low-authority service at the counter, and the client deals with a part of the low-authority service and a part of the high-authority service at the counter, so that the corresponding labor cost is saved for the bank. On the other hand, counter service personnel can not feel tired and uninteresting to process some low-authority businesses for a long time to cause careless errors in some businesses, and on the contrary, the counter service personnel can feel that the high-authority businesses processed by the counter service personnel are important to keep a tense state and aim at the moment, so that the economic loss caused by manual errors of a part of banks is avoided.
2. The identity authentication of the bank member is also designed in various ways, so that the identity authentication of the bank member can be guaranteed to a great extent, and property loss caused after information of the bank member is leaked is prevented.
3. For the optimized design of the camera device of the bank counter, various emergencies in a bank can be dealt with; and the security of the bank camera shooting information can be guaranteed.
Drawings
Fig. 1 is a schematic diagram of a data acquisition system based on bank counter business according to an embodiment of the invention.
Fig. 2 is a schematic diagram of a service subscription module according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a lobby entry detection module in accordance with an embodiment of the invention.
Fig. 4 is a schematic diagram of a service confirmation module according to an embodiment of the present invention.
FIG. 5 is a schematic diagram of an identity module in accordance with an embodiment of the present invention.
FIG. 6 is a schematic diagram of an external behavior recognition module according to an embodiment of the present invention.
FIG. 7 is a schematic diagram of a physiological characteristic identification module according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of a workflow of an identity information verification module according to an embodiment of 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 fig. 1 to 8 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 embodiments. Based on this
Example (b):
a data collection system based on bank counter business, comprising:
the business reservation module is used for performing online reservation of business processing by the bank member;
the hall entrance detection module is used for carrying out security detection on bank members entering a bank;
the service type confirmation module is used for confirming the services which need to be transacted by the bank members;
the identity recognition module is used for carrying out identity recognition on the bank members;
the external behavior identification module is used for identifying the external behaviors of the bank members;
the physiological characteristic identification module is used for identifying the physiological characteristics of the bank members;
the service reservation module comprises:
the account number reservation unit is used for performing online reservation by the bank member according to the member account number of the bank member; each bank has own APP, and the corresponding bank member only needs to log in the APP at the mobile device end to complete the online service reservation, and is very convenient, and the bank member can also check the step flow and the like of related services from the APP.
The service preliminary judgment unit is used for preliminarily judging the service type required by the bank member according to the reservation information after the bank member completes the online reservation; the bank member can make an error according to the service type preliminarily judged by the self-understanding of the bank member, and subsequent further judgment is needed.
The service personnel preliminary allocation unit is used for carrying out preliminary allocation on counter service personnel according to a judgment result after the preliminary judgment of the service is finished; although the business personnel who are distributed according to the preliminary judgment of the business may have distribution errors, the probability of correct distribution is high, and the labor cost is acceptable in order to meet the requirements of the bank members as soon as possible.
The access control password distribution unit is used for distributing a hall access control password to the bank members after the bank members complete online reservation; the bank member who must have the online reservation can obtain the entrance guard password, and the bank can decide effectual reservation personnel according to self reply ability, avoids appearing the too much of bank member, and the condition that business personnel can't take care of.
The hall entrance detection module includes:
the access control password verification unit is used for verifying an access control password of a bank hall of a bank member, allowing the bank member to enter when the password verification is successful, and otherwise, performing abnormal alarm and sending abnormal alarm information to bank security personnel; only the bank member who makes the online reservation is allowed to enter, so that the subsequent management and control operation of the bank is facilitated.
The dangerous goods detection unit is used for detecting whether the bank member carries dangerous goods or not, performing abnormal alarm when the bank member carries the dangerous goods and sending abnormal alarm information to bank guard personnel; the dangerous articles comprise dangerous metal products, dangerous explosives, dangerous inflammables and the like, and the safety of bank meeters and workers can be guaranteed to the greatest extent.
The service confirmation module comprises:
the business secondary judgment unit is used for secondarily judging the business type required by the bank member after the bank member completes business basic information input in the counter; the service personnel secondary confirmation unit confirms actual service personnel from the primarily judged service personnel and the secondarily judged service personnel; the specific type of the service only needs to be judged twice, the secondary judgment is confirmed on the basis of the primary judgment, if the primary judgment is wrong, service personnel are allocated again, and if the primary judgment is the same as the secondary judgment, the service personnel do not need to allocate.
And the business classification unit classifies the actual business requirements of the bank members according to the authority, namely, the business classification unit correspondingly comprises: the bank member independently carries out self-service business processing or carries out interactive business processing with counter service personnel; for the business with lower authority, only the bank member needs to operate, for the business with higher authority, the business personnel can accompany and operate in the whole course, but for some business personnel needing to operate, some business personnel needing to accompany and operate, the business personnel are allocated according to the real-time business progress of the bank member.
The identity recognition module comprises:
the identity card identification unit is used for identifying the identity card information of the bank member and giving an abnormal alarm if the identity card information is not matched with the real-name system information prestored in the identity card identification unit;
the bank card identification unit is used for identifying bank card information of the bank member and sending an abnormal alarm if the bank card information is not matched with the real-name system information prestored in the bank member;
the mobile phone number verification unit is used for verifying the mobile phone number of the bank member and sending an abnormal alarm if the mobile phone number is not matched with the pre-stored real-name system information;
the face recognition unit is used for recognizing the face information of the bank member and giving an abnormal alarm if the face information is not matched with the pre-stored real-name system information;
the voiceprint recognition unit is used for recognizing voiceprint information of the bank member and giving an abnormal alarm if the voiceprint information is not matched with the pre-stored real-name system information;
the fingerprint identification unit is used for identifying fingerprint information of the bank member and giving an abnormal alarm if the fingerprint information is not matched with the real-name system information prestored in the bank member;
the iris identification unit is used for identifying iris information of the bank member and giving an abnormal alarm if the iris information is not matched with the pre-stored real-name system information;
the external behavior recognition module includes:
the camera shooting unit is used for acquiring the limb actions, facial expressions, body shaking conditions and pupil and eye spirit of the bank members; and further, the tension, the intention and the like of the bank member are judged and analyzed, so that the early warning response can be quickly realized.
The voice detection unit is used for acquiring the voice frequency and the intermittent degree of the bank member; and further judging and analyzing the tension state, intention and the like of the bank member, so that the early warning response can be quickly realized.
The physiological characteristic identification module comprises:
the hidden counter pulse detection unit is hidden at the position of a counter table top which is arranged on the wrist of a bank member and is bound to contact with the wrist of the bank member, is used for detecting the pulse information of the bank member, and sends alarm information to counter service personnel and bank guard personnel if the pulse information is not matched with the pre-stored real-name information; thereby judging and analyzing the mental information, the tension state, the intention and the like of the bank member.
The hidden seat heart rate detection unit is hidden and installed on a seat where the bank member sits and used for detecting the heart rate information of the bank member, and if the heart rate information is not matched with the pre-stored real-name system information, alarm information is sent to counter service personnel and bank guard personnel; thereby judging and analyzing psychological information, tension, intention, and the like of the bank member.
The hidden infrared temperature detection unit is hidden and installed at a counter where the bank member is located and used for detecting the whole-body infrared temperature information of the bank member, and sending alarm information to counter service personnel and bank guard personnel if the whole-body infrared temperature information is not matched with the pre-stored real-name system information; thereby judging and analyzing psychological information, tension, intention, and the like of the bank member.
When the bank member is not a newly registered bank member on the day, the pre-stored real-name system information comes from the historical data; when the bank member is a newly registered bank member on the current day, the pre-stored real-name system information of the bank member comes from historical data pre-stored in other banks.
When a bank encounters a dangerous accident, the camera unit of the bank is easily destroyed by a gangster, so that the bank is necessary to be provided with a common camera device and a hidden standby camera device. If only a common camera device is arranged, when a gangster destroys the gangster, the bank is in an unmonitored state, the specific conditions inside the gangster cannot be known outside, and therefore bank members and workers inside the bank are in great danger.
Preferably, the camera unit comprises a common camera device and a hidden standby camera device;
the data transmission mode of the common camera device comprises wired transmission and wireless transmission;
when the wired transmission of the common camera device is damaged, the wireless transmission mode of the common camera device is automatically started;
and when the data acquisition or wireless transmission of the common camera device is damaged, the hidden standby camera device is automatically driven to act.
When a bank has an accident, one condition of the gangster is apprehended in the bank, and the other condition is that the bank is apprehended; for the latter, after the gangster escapes from the bank, the gangster is easy to be mixed into the population, which is not favorable for the follow-up and arrest of the gangster; therefore, even if the hidden ground weighing, the hidden height scanning, the hidden three-dimensional scanning and the voiceprint recognition are started, the subsequent police can track and arrest the gangster conveniently.
Preferably, the physiological characteristic identification module further comprises:
the hidden ground weighing unit is used for collecting the weight information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
the hidden height scanning unit is used for collecting the height information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
the hidden type three-dimensional scanning unit is used for collecting the three-dimensional information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
and when the data acquisition, the wired transmission or the wireless transmission of the common camera device is damaged, the voiceprint recognition unit acquires the voiceprint information, the sound loudness information and the sound frequency information of the bank member.
The camera devices of banks store a large amount of confidential information in order to prevent the theft of the confidential information by unauthorized persons.
Preferably, a camera memory card is arranged in the common camera device;
when data collection, wired transmission or wireless transmission of the common camera device is damaged, the common camera device automatically damages the camera memory card.
Preferably, a camera memory card plugging structure and a camera memory card inducing structure are arranged in the common camera device;
when the camera memory card is pulled out through the camera memory card plugging structure, the camera memory card can be normally pulled out in a normal pulling mode;
when the camera memory card is pulled out through the camera memory card inducing structure, the camera memory card is in an abnormal pulling mode and can not be pulled out and is automatically damaged by the common camera device.
Preferably, the shooting memory card inducing structure is further provided with a pressure sensing unit, a pressure signal comparing unit, a storage unit and a driving unit;
the pressure sensing unit is used for detecting real-time pressure applied to the camera shooting memory card inducing structure;
the storage unit is used for storing a preset pressure threshold value;
the pressure signal comparison unit is used for comparing the real-time pressure with the pressure threshold value, and sending a driving signal to the driving unit when the real-time pressure exceeds the pressure threshold value;
the driving unit is used for driving the common camera device to damage the camera memory card after receiving the driving signal.
The error probability of single identity verification is higher, but the error rate is lower and more intelligent when the identity verification is carried out by fusing a plurality of characteristics.
Preferably, the system further comprises an identity information verification module, wherein the identity information verification module is configured to:
acquiring historical fingerprint data, historical voiceprint data, historical face data and historical iris data of a bank member, and taking the historical fingerprint data, the historical voiceprint data, the historical face data and the historical iris data as a sample set;
taking one part of data in the sample set as a training set, and taking the other part of data in the sample set as a testing set;
taking historical fingerprint data, historical voiceprint data and historical face data in a training set as the input of a neural network model, and taking historical iris data in the training set as the output of the neural network model to obtain a preliminary verification neural network model;
taking historical fingerprint data, historical voiceprint data and historical face data in the test set as input of a neural network model, and taking historical iris data in the test set as output of the neural network model to obtain an optimized verification neural network model;
taking real-time face data collected by a face recognition unit, real-time voiceprint data collected by a voiceprint recognition unit and real-time fingerprint data collected by a fingerprint recognition unit as the input of the optimization verification neural network model, and outputting the optimization verification neural network model to obtain predicted iris data;
and comparing and judging the real-time iris data acquired by the iris identification unit with the predicted iris data, and if the real-time iris data is matched with the predicted iris data, canceling an abnormal alarm.
Preferably, the first and second liquid crystal materials are,
sending an abnormal alarm when the identity card information is not matched with the pre-stored real-name system information, triggering secondary matching by the identity card identification unit, namely repeatedly performing the matching process of the identity card information and the pre-stored real-name system information, if the identity card information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the identity card information is matched with the pre-stored real-name system information, cancelling the abnormal alarm;
sending an abnormal alarm when the information of the bank card is not matched with the pre-stored real-name information, triggering secondary matching by the bank card identification unit, namely repeatedly performing the matching process of the information of the bank card and the pre-stored real-name information, if the information of the bank card is not matched with the pre-stored real-name information, enhancing the abnormal alarm intensity, and if the information of the bank card is matched with the pre-stored real-name information, canceling the abnormal alarm;
sending an abnormal alarm when the mobile phone number is not matched with the pre-stored real-name system information, triggering secondary matching by the mobile phone number verification unit, namely repeatedly performing the matching process of the mobile phone number and the pre-stored real-name system information, if the mobile phone number is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the mobile phone number is matched with the pre-stored real-name system information, cancelling the abnormal alarm;
sending an abnormal alarm when the face information is not matched with the pre-stored real-name system information, triggering secondary matching by the face recognition unit, namely repeatedly performing the matching process of the face information and the pre-stored real-name system information, if the face information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the face information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
sending an abnormal alarm when the voiceprint information is not matched with the pre-stored real-name system information, triggering secondary matching by the voiceprint identification unit, namely repeatedly performing the matching process of the voiceprint information and the pre-stored real-name system information, if the voiceprint information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the voiceprint information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
sending an abnormal alarm when the fingerprint information is not matched with the pre-stored real-name system information, triggering secondary matching by the fingerprint identification unit, namely repeatedly performing the matching process of the fingerprint information and the pre-stored real-name system information, if the fingerprint information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the fingerprint information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
and sending an abnormal alarm when the iris information is not matched with the pre-stored real-name information, triggering secondary matching by the iris identification unit, namely repeatedly performing the matching process of the iris information and the pre-stored real-name information, enhancing the abnormal alarm intensity if the iris information is not matched with the pre-stored real-name information, and canceling the abnormal alarm if the iris information is matched with the pre-stored real-name information.
The above are preferred embodiments of the present invention, and all changes made according to the technical scheme of the present invention that produce functional effects do not exceed the scope of the technical scheme of the present invention belong to the protection scope of the present invention.

Claims (8)

1. A data collection system based on bank counter business, comprising:
the business reservation module is used for performing online reservation of business processing by the bank member;
the hall entrance detection module is used for carrying out security detection on bank members entering a bank;
the service type confirmation module is used for confirming the services which need to be transacted by the bank members;
the identity recognition module is used for carrying out identity recognition on the bank members;
the external behavior identification module is used for identifying the external behaviors of the bank members;
the physiological characteristic identification module is used for identifying the physiological characteristics of the bank members;
the service reservation module comprises:
the account number reservation unit is used for performing online reservation by the bank member according to the member account number of the bank member;
the service preliminary judgment unit is used for preliminarily judging the service type required by the bank member according to the reservation information after the bank member completes the online reservation;
the service personnel preliminary allocation unit is used for performing preliminary allocation of counter service personnel according to a judgment result after the preliminary judgment of the service is completed;
the access control password distribution unit is used for distributing the entrance access control password of the bank hall to the bank members after the bank members complete online reservation;
the hall entrance detection module includes:
the access control password verification unit is used for verifying an access control password of a bank hall of a bank member, allowing the bank member to enter when the password verification is successful, and otherwise, performing abnormal alarm and sending abnormal alarm information to bank security personnel;
the dangerous goods detection unit is used for detecting whether the bank member carries dangerous goods or not, alarming for abnormity when the bank member carries the dangerous goods and sending abnormal alarm information to bank security personnel;
the service confirmation module comprises:
the business secondary judgment unit is used for secondarily judging the business type required by the bank member after the bank member completes business basic information input in the counter;
the service personnel secondary confirmation unit confirms actual service personnel from the primarily judged service personnel and the secondarily judged service personnel;
and the business classification unit classifies the actual business requirements of the bank members according to the authority, namely, the business classification unit correspondingly comprises: the bank member independently performs self-service business processing or performs interactive business processing with counter service personnel;
the identity recognition module comprises:
the identity card identification unit is used for identifying the identity card information of the bank member and giving an abnormal alarm if the identity card information is not matched with the pre-stored real-name system information;
the bank card identification unit is used for identifying bank card information of the bank member and sending an abnormal alarm if the bank card information is not matched with the real-name system information prestored in the bank member;
the mobile phone number verification unit is used for verifying the mobile phone number of the bank member and sending an abnormal alarm if the mobile phone number is not matched with the pre-stored real-name system information;
the face recognition unit is used for recognizing the face information of the bank member and giving an abnormal alarm if the face information is not matched with the pre-stored real-name system information;
the voiceprint recognition unit is used for recognizing the voiceprint information of the bank member and giving an abnormal alarm if the voiceprint information is not matched with the pre-stored real name system information;
the fingerprint identification unit is used for identifying fingerprint information of the bank member and giving an abnormal alarm if the fingerprint information is not matched with the pre-stored real-name system information;
the iris identification unit is used for identifying iris information of the bank member and giving an abnormal alarm if the iris information is not matched with the pre-stored real-name system information;
the external behavior recognition module includes:
the camera shooting unit is used for acquiring the facial expressions, body shaking conditions and pupil catch of the bank members;
the voice detection unit is used for acquiring the voice frequency and the intermittent degree of the bank member;
the physiological characteristic identification module comprises:
the hidden counter pulse detection unit is hidden at the position of a counter table top which is arranged on the wrist of a bank member and is bound to contact with the wrist of the bank member, is used for detecting the pulse information of the bank member, and sends alarm information to counter service personnel and bank guard personnel if the pulse information is not matched with the pre-stored real-name information;
the hidden seat heart rate detection unit is hidden and installed on a seat where the bank member sits and used for detecting the heart rate information of the bank member, and if the heart rate information is not matched with the pre-stored real-name system information, alarm information is sent to counter service personnel and bank guard personnel;
the hidden infrared temperature detection unit is hidden and installed at a counter where the bank member is located and used for detecting the whole-body infrared temperature information of the bank member, and sending alarm information to counter service personnel and bank guard personnel if the whole-body infrared temperature information is not matched with the pre-stored real-name system information;
when the bank member is not a newly registered bank member on the day, the pre-stored real-name system information comes from the historical data; when the bank member is a newly registered bank member on the current day, the pre-stored real-name system information of the bank member comes from historical data pre-stored in other banks.
2. The data acquisition system based on bank counter business as claimed in claim 1, wherein the camera unit comprises a common camera and a hidden standby camera;
the data transmission mode of the common camera device comprises wired transmission and wireless transmission;
when the wired transmission of the common camera device is damaged, the wireless transmission mode of the common camera device is automatically started;
and when the data acquisition or wireless transmission of the common camera device is damaged, the hidden standby camera device is automatically driven to act.
3. The system of claim 2, wherein the physiological characteristic recognition module further comprises:
the hidden ground weighing unit is used for collecting the weight information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
the hidden height scanning unit is used for collecting the height information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
the hidden type three-dimensional scanning unit is used for collecting the three-dimensional information of the bank member when the data collection, the wired transmission or the wireless transmission of the common camera device is damaged;
and when the data acquisition, the wired transmission or the wireless transmission of the common camera device is damaged, the voiceprint recognition unit acquires the voiceprint information, the sound loudness information and the sound frequency information of the bank member.
4. The data acquisition system based on bank counter business as claimed in claim 2, wherein the common camera device is internally provided with a camera memory card;
when data acquisition, wired transmission or wireless transmission of the common camera device is damaged, the common camera device automatically damages the camera memory card.
5. The data acquisition system based on bank counter business as claimed in claim 4, wherein the common camera device is internally provided with a camera memory card plug structure and a camera memory card induced structure;
when the camera memory card is pulled out through the camera memory card plugging structure, the camera memory card can be normally pulled out in a normal pulling mode;
when the camera memory card is pulled out through the camera memory card inducing structure, the camera memory card is in an abnormal pulling mode and can not be pulled out and is automatically damaged by the common camera device.
6. The system for collecting data based on bank counter business as claimed in claim 5, wherein said camera shooting memory card inducing structure is further provided with a pressure sensing unit, a pressure signal comparing unit, a storage unit and a driving unit;
the pressure sensing unit is used for detecting real-time pressure applied to the camera shooting memory card inducing structure;
the storage unit is used for storing a preset pressure threshold value;
the pressure signal comparison unit is used for comparing the real-time pressure with the pressure threshold value, and sending a driving signal to the driving unit when the real-time pressure exceeds the pressure threshold value;
the driving unit is used for driving the common camera device to damage the camera memory card after receiving the driving signal.
7. The data collection system based on bank counter business as claimed in claim 1, further comprising an identity information verification module, wherein the identity information verification module is configured to:
acquiring historical fingerprint data, historical voiceprint data, historical face data and historical iris data of a bank member, and taking the historical fingerprint data, the historical voiceprint data, the historical face data and the historical iris data as a sample set;
taking one part of data in the sample set as a training set, and taking the other part of data in the sample set as a testing set;
taking historical fingerprint data, historical voiceprint data and historical face data in a training set as the input of a neural network model, and taking historical iris data in the training set as the output of the neural network model to obtain a preliminary verification neural network model;
taking historical fingerprint data, historical voiceprint data and historical face data in the test set as input of a neural network model, and taking historical iris data in the test set as output of the neural network model to obtain an optimized verification neural network model;
taking the real-time face data collected by the face recognition unit, the real-time voiceprint data collected by the voiceprint recognition unit and the real-time fingerprint data collected by the fingerprint recognition unit as the input of the optimization verification neural network model, and outputting the optimization verification neural network model to obtain predicted iris data;
and comparing and judging the real-time iris data acquired by the iris identification unit with the predicted iris data, and if the real-time iris data is matched with the predicted iris data, canceling an abnormal alarm.
8. The system of claim 1, wherein the data collection system is based on bank counter business,
sending an abnormal alarm when the identity card information is not matched with the pre-stored real-name system information, triggering secondary matching by the identity card identification unit, namely repeatedly performing the matching process of the identity card information and the pre-stored real-name system information, if the identity card information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the identity card information is matched with the pre-stored real-name system information, cancelling the abnormal alarm;
sending an abnormal alarm when the information of the bank card is not matched with the pre-stored real-name information, triggering secondary matching by the bank card identification unit, namely repeatedly performing the matching process of the information of the bank card and the pre-stored real-name information, if the information of the bank card is not matched with the pre-stored real-name information, enhancing the abnormal alarm intensity, and if the information of the bank card is matched with the pre-stored real-name information, canceling the abnormal alarm;
sending an abnormal alarm when the mobile phone number is not matched with the pre-stored real-name system information, triggering secondary matching by the mobile phone number verification unit, namely repeatedly performing the matching process of the mobile phone number and the pre-stored real-name system information, if the mobile phone number is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the mobile phone number is matched with the pre-stored real-name system information, cancelling the abnormal alarm;
sending an abnormal alarm when the face information is not matched with the pre-stored real-name system information, triggering secondary matching by the face recognition unit, namely repeatedly performing the matching process of the face information and the pre-stored real-name system information, if the face information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the face information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
sending an abnormal alarm when the voiceprint information is not matched with the pre-stored real-name system information, triggering secondary matching by the voiceprint identification unit, namely repeatedly performing the matching process of the voiceprint information and the pre-stored real-name system information, if the voiceprint information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the voiceprint information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
sending an abnormal alarm when the fingerprint information is not matched with the pre-stored real-name system information, triggering secondary matching by the fingerprint identification unit, namely repeatedly performing the matching process of the fingerprint information and the pre-stored real-name system information, if the fingerprint information is not matched with the pre-stored real-name system information, enhancing the abnormal alarm intensity, and if the fingerprint information is matched with the pre-stored real-name system information, canceling the abnormal alarm;
and sending an abnormal alarm when the iris information is not matched with the pre-stored real-name information, triggering secondary matching by the iris identification unit, namely repeatedly performing the matching process of the iris information and the pre-stored real-name information, enhancing the abnormal alarm strength if the iris information is not matched with the pre-stored real-name information, and canceling the abnormal alarm if the iris information is matched with the pre-stored real-name information.
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