CN113643489B - Public transit pos machine based on face identification - Google Patents

Abstract

The invention discloses a public transportation pos machine based on face recognition, which is communicated with a remote payment control center in real time to confirm payment; a remote payment control center comprising: a plurality of regional authentication servers and a head end authentication server; the regional verification server is used for carrying out real-time communication with the vehicle-mounted payment terminal within a given communication distance and carrying out passenger identity verification on the biological characteristic identification payment information uploaded by the vehicle-mounted payment terminal; if the verification is successful, directly deducting the fee, if the verification is failed, sending the biometric feature identification payment information of the passenger to a main verification server for secondary verification, if the secondary verification is successful, returning success information to an area verification server for deducting the fee, and if the secondary verification is failed, returning failure judgment information. And the verification is determined to be failed after two times of failures through secondary verification under the condition that the primary verification is unsuccessful, so that the identification rate and the accuracy of the biological characteristic verification are improved.

Description

A bus pos machine based on face recognition

technical field

The invention relates to the technical field of intelligent public transportation payment technology, in particular to a public transportation POS machine based on face recognition.

Background technique

With the continuous development of information network technology, people are using digital renminbi in more and more scenarios in their lives. At present, the main way to use digital renminbi is to scan the QR code and pay through the bound bank account. It can already be applied to bus and subway ride payment, but it is not convenient to open the QR code with a mobile phone every time you take a bus. There will be a phenomenon that the passengers who get on the bus will be blocked at the door due to the failure to scan the code, which will affect the passengers who get on the bus behind. In addition, bus passengers also include a large number of special passengers, including the elderly, children, soldiers, disabled people, etc. These special passengers have different ride treatment, so the preferential treatment of paying by QR code is not yet realized.

At present, the disclosed prior art includes some payment methods for bus rides by collecting passenger biometrics for payment, but when the biometric identification system cannot accurately determine the collected individual biometrics (such as: the user has not updated for a long time Personal biometric information, passenger is "public face", etc.), it will cause the biometric verification to fail.

Contents of the invention

The present invention provides a bus pos machine based on face recognition to overcome the above technical problems.

A bus pos machine based on face recognition in the present invention includes a vehicle-mounted payment terminal, which communicates with a remote payment control center in real time to confirm payment. The remote payment control center includes: multiple regional verification servers and a headquarter verification server The vehicle-mounted payment terminal includes a payment acquisition device, a main control unit, and a payment reminder device; the regional verification server is used for real-time communication with the vehicle-mounted payment terminal within a given communication distance, and the main control unit The uploaded encrypted and packaged passenger payment data package is parsed and verified to verify the passenger’s identity information; if the verification is successful, the passenger’s binding account is deducted through the deduction module; if the verification fails, the passenger’s payment data package is sent to The head end verification server verifies; the passenger binding account is a digital RMB account; when the head end verification server returns verification success information, the passenger binding account is deducted through the fee deduction module, otherwise it is determined that the payment fails; The area verification server sends the payment verification result to the main control unit; the head end verification server is used to decrypt the passenger payment data packet with the server identity verification code corresponding to the area verification server and perform secondary identity verification. verification, if the verification is passed, then the verification success information is sent to the regional verification server, and the payment information returned by the regional verification server is classified and stored; otherwise, the verification failure information is sent to the regional verification server; the payment collection device , used to collect passenger payment information in the collection mode of biometric identification payment, and send the main control unit; the main control unit is used to send the vehicle identification information to the head verification server, and verify After success, call the preset on-board terminal schedule to determine the head-end verification server of the on-board terminal line route and notify the head-end verification server to configure the payment deduction operating environment for the on-board payment terminal; to encrypt and package the passenger payment information as The passenger payment data packet is sent to the regional verification server; and the payment verification result is received and sent to the payment prompt device; the payment prompt device is used to synchronize according to the payment verification result sent by the main control unit Voice reminder.

Further, the payment collection device includes a first payment collection device and a second payment collection device; the first payment collection device is used to collect passenger payment information in the collection methods of automatic coin-operated payment, card swiping payment, and code scanning payment The second payment collection device is used to collect payment information of passengers by means of biometric payment collection; the biometric payment includes at least two recognition payment methods among fingerprint, face, voiceprint and iris.

Further, the fee deduction module includes a first fee deduction submodule and a second fee deduction submodule; the first fee deduction submodule is used for the operation of deduction of fees when passengers use the first payment collection device The automatic fee deduction is performed under the environment; the second payment deduction sub-module is used to perform automatic deduction under the payment deduction operation environment in which the passenger uses the second payment collection device.

Further, the first fee deduction sub-module is used to identify whether the payment method of the passenger belongs to payment by card or code scanning; A certain registration information in the deduction list matches, and if the match is automatically deducted in the background; if it belongs to scanning code payment, then start the associated program to communicate with major payment platforms, and determine whether the scanning code information provided by the user is compatible with any payment platform The information in the user list matches, and the matching will automatically deduct the fee; the second payment deduction sub-module is used to collect the passenger’s fingerprint recognition payment and face recognition payment information at the same time, and generate user identification information data based on the two package; respectively verify whether the fingerprint information and face information are legal users authenticated by the device; if yes, confirm that the user information is correct and authorize payment and settlement; otherwise, it will prompt that the verification fails and the subsequent payment and settlement cannot be continued, and the settlement method is in the form of digital RMB .

Further, the verification of whether the fingerprint information and face information are legitimate users of device authentication includes: communicating with the regional verification server to determine whether the currently uploaded fingerprint information can be found in the fingerprint information database, and if so, determine Verification passed;

Judging whether the currently uploaded fingerprint information can be found in the fingerprint information database by formula (1);

表示轮廓三阶导数，o′,p′表示二值化后的指纹信息；fa表示当前所上传的指纹与指纹信息数据库内指纹的最大相似度，相似度大于阈值则表示当前所上传的指纹信息能够在指纹信息数据库内找到；In the formula, o is the currently uploaded fingerprint information, p is the fingerprint in the fingerprint information database, V _m represents the confidence degree of the currently uploaded fingerprint information feature, V _n represents the confidence degree of the fingerprint feature in the fingerprint information database, and the value range [0,1], l _n (*) represents the features extracted by the Siamese network trained with contrastive loss, f _o (*) represents the denoising processing of fingerprint information,

Indicates the third-order derivative of the contour, o', p'indicates the fingerprint information after binarization; fa indicates the maximum similarity between the currently uploaded fingerprint and the fingerprint in the fingerprint information database, and if the similarity is greater than the threshold, it indicates the currently uploaded fingerprint information Can be found in the fingerprint information database;

Communicate with the regional verification server to determine whether the currently uploaded face information can be found in the face information database, and if so, determine that the verification is passed;

Whether the uploaded face information can be found in the face information database by formula (2);

In the formula, r is the currently uploaded face information, b is the face in the face information database, V _c represents the confidence degree of the currently uploaded face information feature, V _d represents the face feature in the face information database Confidence, value range [0,1], l _d (*) represents the feature extracted by the Siamese network trained with contrastive loss, f _r (*) represents the facial features extracted by the convolutional network trained by cross entropy, r′ ,b' represents the serialized face information; rl represents the maximum similarity between the currently uploaded face and the face in the face information database, and if the similarity is greater than the threshold, it means that the currently uploaded face information can be included in the face found in the information database.

Further, the process of encrypting and packaging the passenger payment information into the passenger payment data package includes: encrypting the second payment information, upload time and location information into a fixed number of digits based on a first encryption algorithm encrypted information; based on the second encryption algorithm, the vehicle identification information is encrypted into encrypted information with a fixed number of digits; the two encrypted information form a complete message; the encryption level of the first encryption algorithm is higher than that of the second encryption algorithm; The corresponding area verification server has a built-in decryption algorithm of the first encryption algorithm and a decryption algorithm of the second encryption algorithm; and configures the second encryption algorithm or the third encryption algorithm to encrypt the identity verification code of the area verification service.

Further, the passenger payment data package includes: fingerprint information, face information, and user information-temporary id; after the regional verification server verifies that the fingerprint information and face information are all legitimate users authenticated by the device, it determines that the user Information-Temporary id is the information that the user can authorize and authorize the payment and settlement; otherwise, it will prompt that the verification fails and the subsequent payment and settlement cannot be continued.

Further, the determining that the user information-temporary id is user-authorizable information and authorizing payment and settlement includes: replacing the user information-temporary id with user-authorizable information, and the user-authorizable information is the user-authorizable information The verification information generated after fingerprint information and face information are combined and encrypted; check whether there is information matching the verification information in the authorization information database, and determine that authorization can be carried out for payment and settlement when the matching degree is consistent.

Further, the first payment collection device is provided with an image collector; the image collector is used to identify the face value of the coin and record the amount of each coin.

Further, the first payment collection device is also provided with an alarm prompter, which will give an alarm when the amount of the coin inserted is less than the specified minimum amount.

The present invention confirms the payment by communicating with the remote payment control center in real time; the remote payment control center includes: a plurality of regional verification servers and a head end verification server; Communication, and conduct passenger identity verification on the biometric payment information uploaded by the vehicle payment terminal; if the verification is successful, the fee will be deducted directly; if the verification fails, the passenger’s biometric payment information will be sent to the main terminal verification server for secondary verification , if the secondary verification is successful, it will return a success message to the regional verification server for fee deduction, and if it fails, it will return a judgment failure message. If the first verification is unsuccessful, the second verification is performed, and it is judged that the verification fails only if the verification fails twice, thereby improving the recognition rate and accuracy of biometric verification.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings without any creative effort.

Fig. 1 is a schematic structural diagram of a bus pos machine based on face recognition in the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

As shown in Figure 1, this embodiment provides a bus pos machine based on face recognition, including a vehicle payment terminal, through real-time communication with the remote payment control center for payment confirmation, remote payment control center, including multiple area verification The server and the terminal verification server; the vehicle payment terminal includes a payment collection device, a main control unit and a payment reminder device;

The regional verification server is used for real-time communication with the vehicle payment terminal within a given communication distance, and verifies the identity information of the passenger after analyzing the encrypted and packaged passenger payment data package uploaded by the main control unit; if the verification is successful, it passes The deduction module deducts the fee from the passenger’s bound account; if the verification fails, the passenger’s payment data packet is sent to the verification server at the head end for verification; Deduct the fee, otherwise it will be determined that the payment has failed; the regional verification server will send the payment verification result to the main control unit;

A plurality of regional verification servers are distributed in various bus line areas of the city, and the regional verification servers include a payment verification system, a biometric verification system, a user account database, and a biometric database. The user logs in to the bus service system in advance before taking the bus, and the bus service system connects to the regional verification server. Users need to enter personal basic information, personal bank card information, and bind the bank card recharge amount, and the information is stored in the user account database. Then enter personal biometric information, which includes face information, fingerprint information, iris, voiceprint and other information, and personal biometric information is stored in the biometric database.

The terminal verification server is used to decrypt the passenger payment data packet with the server identity verification code corresponding to the regional verification server and perform secondary identity verification. If the verification is passed, the verification success information will be sent to the regional verification server, and the regional verification server will return The payment information is classified and stored; otherwise, the verification failure information is sent to the regional verification server;

The terminal verification server also includes a payment verification system, a biometric verification system, a user account database, and a biometric database. However, the data in the biometric database in the headquarter verification server is based on the biometric data of the public security system, which is more reliable and recognizable than the biometric data in the regional verification server.

The payment collection device is used to collect passenger payment information by means of biometric payment collection and send it to the main control unit;

The first important function of the main control unit is to send the vehicle identification information to the terminal verification server when the vehicle payment terminal is turned on, and after the vehicle identity verification is successful, call the preset vehicle terminal schedule to determine the vehicle terminal line route The main terminal verification server and notify the main terminal verification server to configure the payment deduction operating environment for the vehicle payment terminal; the second function is to encrypt and package the passenger payment information into a passenger payment data package, send it to the regional verification server, and receive payment verification As a result, a payment reminder device is sent.

The payment reminder device is used for synchronous voice reminder according to the payment verification result sent by the main control unit. The payment reminder can only display the payment result through the display screen, or add a voice reminder.

In this embodiment, the payment collection device includes a first payment collection device and a second payment collection device;

The first payment collection device is used to collect passenger payment information in the collection methods of automatic coin-operated payment, credit card payment, and code-scanning payment;

The second payment acquisition device is used to collect payment information of passengers by means of biometric identification payment; biometric identification payment includes fingerprint identification payment and face recognition payment. The second payment collection device includes at least two types of face recognition devices, fingerprint recognition devices, iris recognition devices, and voiceprint recognition devices. Sometimes there may be a risk that B is identified as A. The advantage of double authentication is that while reducing the risk, the accuracy requirements for face recognition equipment are appropriately reduced, and equipment costs are reduced.

In this embodiment, the biometric combination of a face recognizer and a fingerprint recognizer is used. After the passenger boards the car, he looks directly at the face recognizer, and the face recognizer performs the first biometric feature information on the facial feature information. Identify, use the collected face information to match the user's face feature information stored in the biometric server, and obtain a matching result of 1. The passenger then enters the fingerprint information through the fingerprint reader, and the fingerprint reader recognizes the fingerprint feature information of the second biometric information, matches the fingerprint information of the user stored in the biometric server with the collected fingerprint information, and obtains the matching result 2, according to As a result of the matching degree, the payment server retrieves the user account information to which the biometric information of the user belongs and sends a payment information confirmation instruction.

In this embodiment, the fee deduction module includes a first fee deduction submodule and a second fee deduction submodule; the first fee deduction submodule is used to perform automatic deduction under the payment deduction operation environment in which the passenger adopts the first payment collection device fee; the second payment deduction sub-module is used for automatic deduction in the payment and deduction operation environment where the passenger adopts the second payment acquisition device.

Among them, the process of automatically deducting fees under the payment deduction operating environment of the first payment collection device for passengers includes: identifying whether the passenger's payment method belongs to payment by card or scanning code; if it belongs to payment by card, then based on the preset The deduction list determines whether the current passenger’s bus card information matches a certain registration information in the deduction list, and if it matches, it will automatically deduct the fee in the background; if it belongs to scanning code payment, it will start the associated program to communicate with major payment platforms, and determine the user’s provided information. Whether the scanned code information matches the information in the user list of any payment platform, and if the match is matched, the fee will be automatically deducted;

The process of automatically deducting fees under the payment deduction operating environment of the second payment collection device for passengers includes: simultaneously collecting the passenger's fingerprint recognition payment and face recognition payment information, and generating user identification information data packets based on the two; respectively Verify whether the fingerprint information and face information are legitimate users authenticated by the device; if yes, confirm that the user information is correct and authorize payment and settlement; otherwise, it will prompt that the verification fails and the subsequent payment and settlement cannot continue, and the settlement method is in the form of digital RMB.

Among them, the process of verifying whether the fingerprint information and face information are legitimate users of device authentication includes: communicating with the regional verification server to determine whether the currently uploaded fingerprint information can be found in the fingerprint information database, and if so, confirm that the verification is passed;

Judging whether the currently uploaded fingerprint information can be found in the fingerprint information database by formula (1);

表示轮廓三阶导数，o′,p′表示二值化后的指纹信息；fa表示当前所上传的指纹与指纹信息数据库内指纹的最大相似度，相似度大于阈值则表示当前所上传的指纹信息能够在指纹信息数据库内找到；In the formula, o is the currently uploaded fingerprint information, p is the fingerprint in the fingerprint information database, V _m represents the confidence degree of the currently uploaded fingerprint information feature, V _n represents the confidence degree of the fingerprint feature in the fingerprint information database, and the value range [0,1], l _n (*) represents the features extracted by the Siamese network trained with contrastive loss, f _o (*) represents the denoising processing of fingerprint information,

Indicates the third-order derivative of the contour, o', p'indicates the fingerprint information after binarization; fa indicates the maximum similarity between the currently uploaded fingerprint and the fingerprint in the fingerprint information database, and if the similarity is greater than the threshold, it indicates the currently uploaded fingerprint information Can be found in the fingerprint information database;

Communicate with the regional verification server to determine whether the currently uploaded face information can be found in the face information database, and if so, determine that the verification is passed;

Whether the uploaded face information can be found in the face information database by formula (2);

In the formula, r is the currently uploaded face information, b is the face in the face information database, V _c represents the confidence degree of the currently uploaded face information feature, V _d represents the face feature in the face information database Confidence, value range [0,1], l _d (*) represents the feature extracted by the Siamese network trained with contrastive loss, f _r (*) represents the facial features extracted by the convolutional network trained by cross entropy, r′ ,b' represents the serialized face information; rl represents the maximum similarity between the currently uploaded face and the face in the face information database, and if the similarity is greater than the threshold, it means that the currently uploaded face information can be included in the face found in the information database.

In this embodiment, the process of encrypting and packaging the second passenger payment data package includes: encrypting the second payment information, upload time and location information based on the first encryption algorithm into encrypted information with a fixed number of digits; Encrypt the vehicle identification information into encrypted information with a fixed number of digits; the two encrypted information form a complete message; the encryption level of the first encryption algorithm is higher than that of the second encryption algorithm; the corresponding regional verification server has a built-in decryption algorithm of the first encryption algorithm and the decryption algorithm of the second encryption algorithm; and configure the second encryption algorithm or the third encryption algorithm to encrypt the identity verification code of the regional verification service.

In this embodiment, the user identification information data package includes: fingerprint information, face information and user information-temporary id; You can authorize the information and authorize the payment and settlement; otherwise, it will prompt that the verification fails and you cannot continue the subsequent payment and settlement.

Among them, determining the user information-temporary id as user-authorizable information and authorizing payment and settlement includes: replacing the user information-temporary id with user-authorizable information, and the user-authorizable information is generated after fingerprint information and face information are combined and encrypted Verify information; check whether there is information matching the verification information in the authorization information database, and determine that authorization can be performed for payment and settlement when the matching degree is consistent.

In this embodiment, the cash collection box of the first payment collection device is provided with an image collector, which is used to identify the face value of the automatic coin insertion and record the amount of each coin insertion, so as to facilitate subsequent amount statistics.

In this embodiment, the first payment acquisition device is also provided with an alarm prompter, which will alarm when the coin amount is less than the specified minimum amount, so as to prevent some uncivilized passengers from evading fares or paying for rides by inserting coins in violation of regulations.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (6)

1. A bus pos machine based on face recognition, comprising a vehicle-mounted payment terminal, characterized in that: by communicating with a remote payment control center in real time to confirm payment, the remote payment control center includes: a plurality of regional verification servers and Headquarters verification server; the vehicle payment terminal includes a payment collection device, a main control unit and a payment prompt device; The regional verification server is used for real-time communication with the vehicle-mounted payment terminal within a given communication distance, and analyzes the encrypted and packaged passenger payment data package uploaded by the main control unit to verify the identity information of the passenger; If the verification is successful, the passenger's binding account is deducted by the deduction module; if the verification fails, the passenger payment packet is sent to the verification server of the total terminal for verification; when the verification server of the total terminal returns the verification success information , the passenger’s binding account is deducted through the deduction module, otherwise it is determined that the payment fails; the regional verification server sends the payment verification result to the main control unit; the passenger’s binding account is a digital RMB account; The head end verification server is used to decrypt the passenger payment data packet with the server identity verification code corresponding to the regional verification server and perform secondary identity verification, and if the verification is passed, send verification success information to the regional verification server, and classify and store the payment information returned by the regional verification server; otherwise, send verification failure information to the regional verification server; The payment collection device is used to collect payment information of passengers in a biometric payment collection method, and send the payment information to the main control unit; The main control unit is used to send vehicle-mounted identification information to the terminal verification server, and after the vehicle-mounted identity verification is successful, call the preset vehicle-mounted terminal schedule to determine the terminal verification server of the vehicle-mounted terminal line route and notify The headquarter verification server configures the payment deduction operating environment for the vehicle payment terminal; it is used to encrypt and package the passenger payment information into the passenger payment data packet, and send the regional verification server; and receive the payment verification result, and send the The above-mentioned payment reminder device; The payment reminder device is configured to perform synchronous voice reminders according to the payment verification results sent by the main control unit; The payment collection device includes a first payment collection device and a second payment collection device; The first payment collection device is used to collect passenger payment information in the collection methods of automatic coin-operated payment, card swiping payment, and code scanning payment; The second payment collection device is used to collect passenger payment information in the collection mode of biometric identification payment; the biometric identification payment includes at least two identification payment methods among fingerprint, face, voiceprint and iris; The deduction module includes a first deduction sub-module and a second deduction sub-module; The first fee deduction sub-module is used to perform automatic deduction of fees under the payment and deduction operating environment where passengers use the first payment collection device; The second payment and fee deduction sub-module is used to automatically deduct fees under the payment and fee deduction operating environment where passengers use the second payment collection device; The first deduction sub-module is used to identify whether the passenger's payment method belongs to payment by swiping a card or payment by scanning a code; If a certain registration information in the fee list matches, the background fee will be deducted automatically if it matches; if it belongs to scan code payment, then start the associated program to communicate with major payment platforms, and determine whether the scan code information provided by the user is consistent with the user list of any payment platform If the information in the account matches, the fee will be deducted automatically if the match is matched; The second payment deduction sub-module is used to collect the passenger's fingerprint recognition payment and face recognition payment information at the same time, and generate user identification information data packets based on the two; respectively verify whether the fingerprint information and face information are both equipment Certified legal user; if yes, confirm that the user information is correct and authorize payment and settlement; otherwise, it will prompt that the verification fails and the subsequent payment and settlement cannot be continued, and the settlement method is in the form of digital RMB; The verification of whether the fingerprint information and face information are legitimate users of device authentication includes: Communicate with the regional verification server to determine whether the currently uploaded fingerprint information can be found in the fingerprint information database, and if so, determine that the verification is passed; Judging whether the currently uploaded fingerprint information can be found in the fingerprint information database by formula (1);

In the formula, o is the currently uploaded fingerprint information, p is the fingerprint in the fingerprint information database, V _m represents the confidence degree of the currently uploaded fingerprint information feature, V _n represents the confidence degree of the fingerprint feature in the fingerprint information database, and the value range [0,1], l _n (*) represents the features extracted by the Siamese network trained with contrastive loss, f _o (*) represents the denoising processing of fingerprint information,

Indicates the third-order derivative of the contour, o', p'indicates the fingerprint information after binarization; fa indicates the maximum similarity between the currently uploaded fingerprint and the fingerprint in the fingerprint information database, if the similarity is greater than the threshold, it indicates the currently uploaded fingerprint information Can be found in the fingerprint information database; Communicate with the regional verification server to determine whether the currently uploaded face information can be found in the face information database, and if so, determine that the verification is passed; Whether the uploaded face information can be found in the face information database by formula (2);

In the formula, r is the currently uploaded face information, b is the face in the face information database, V _c represents the confidence degree of the currently uploaded face information feature, V _d represents the face feature in the face information database Confidence, value range [0,1], l _d (*) represents the feature extracted by the Siamese network trained with contrastive loss, f _r (*) represents the facial features extracted by the convolutional network trained by cross entropy, r′ ,b' represents the serialized face information; rl represents the maximum similarity between the currently uploaded face and the face in the face information database, and if the similarity is greater than the threshold, it means that the currently uploaded face information can be included in the face found in the information database. 2. A kind of public transportation pos machine based on face recognition according to claim 1, is characterized in that, described passenger payment information encryption is packed into the process of described passenger payment data package comprising: Encrypting the second payment information, upload time and location information based on the first encryption algorithm into encrypted information with a fixed number of digits; encrypting the vehicle identification information based on the second encryption algorithm into encrypted information with a fixed number of digits; The encrypted information of the two forms a complete information; The encryption level of the first encryption algorithm is higher than that of the second encryption algorithm; the corresponding regional verification server has a built-in decryption algorithm of the first encryption algorithm and a decryption algorithm of the second encryption algorithm; And configuring the second encryption algorithm or the third encryption algorithm to encrypt the regional verification service identity verification code. 3. A kind of public transportation pos machine based on facial recognition according to claim 2, is characterized in that, described passenger pays data packet, comprises: fingerprint information, face information and user information-temporary id; After the regional verification server verifies that the fingerprint information and face information are all legal users authenticated by the device, it determines that the user information-temporary id is user-authorizable information and authorizes payment and settlement; otherwise, it prompts that the verification fails and cannot continue subsequent payment and settlement . 4. A bus pos machine based on face recognition according to claim 3, wherein said determining that said user information-temporary id is user-authorizable information and authorizes payment and settlement includes: The user information-temporary id is replaced with user-authorizable information, and the user-authorizable information is verification information generated after the fingerprint information and face information are combined and encrypted; Check whether there is information matching the verification information in the authorization information database, and determine that authorization can be performed for payment and settlement when the matching degree is consistent. 5. a kind of public transportation pos machine based on face recognition according to claim 4, is characterized in that, described first payment collection equipment is provided with image collector; Described image collector is used for identifying the face value of coin and records The amount of each coin. 6. A kind of bus pos machine based on face recognition according to claim 5, characterized in that, the first payment collection device is also provided with an alarm prompter, and when the coin amount is less than the specified minimum amount, the Call the police.

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