TWM620816U - System for determining withdrawal results - Google Patents

Abstract

A system for determining withdrawal results is provided. The system includes a withdrawal machine and a crime prevention server. The withdrawal machine includes a camera. The crime prevention server stores a withdrawal record set including at least one first withdrawal record, in response to receiving a withdrawal request corresponding to a withdrawal card and a correct withdrawal card password, the withdrawal machine obtains an identification from the withdrawal card and obtains a withdrawal person facial image through the camera. The withdrawal machine utilizes the withdrawal person facial image to obtain a withdrawal person facial image hash value. The withdrawal machine transmits the identification and the withdrawal person facial image hash value to the crime prevention server, and the crime prevention server determines a withdrawal result of the withdrawal request according to the identification, the withdrawal person facial image hash value, and the withdrawal record set.

Description

System for judging the result of withdrawal

This new creation is about a system for judging the results of withdrawals.

The current cash machine will allow the cashier to withdraw cash after the cashier enters the correct ATM card password. In other words, non-owners/users of the ATM card (for example, a fraud criminal who knows the correct ATM card password) can also successfully withdraw money, so there is a risk of cash being stolen. Based on this, an improved system for judging the results of withdrawals is needed.

The new creation provides a system for judging the result of withdrawal, which can reduce the risk of criminals stealing cash from the cash machine.

The system for judging the results of withdrawals created by the present invention includes a cash machine and a crime prevention server. The cash machine includes a video camera. The crime prevention server is communicatively connected to the ATM, and stores a withdrawal record set including at least one first withdrawal record, where: in response to receiving a withdrawal request corresponding to the withdrawal card and the correct withdrawal card password, the withdrawal The machine obtains recognition from the cash card, and obtains the facial image of the cashier through the camera. The cash machine uses the facial image of the cashier to obtain the hash value of the facial features of the cashier, and the cash machine transmits the recognition and the facial image of the cashier The feature hash value is sent to the crime prevention server, and the crime prevention server judges the withdrawal result of the withdrawal request based on the recognition, the hash value of the facial feature of the withdrawal, and the withdrawal record set.

Based on the above, the system for judging the results of withdrawals created by this new model can combine the recognition in the withdrawal card and the hash value of the withdrawal feature (obtained from the withdrawal's facial image) with the pre-stored withdrawal record Set comparisons to determine the withdrawal result. In addition, after further confirming the birthday and/or phone number and determining that the withdrawal result is a withdrawal failure result, the customer service staff can also voice confirmation. Based on this, the risk of criminals stealing cash from the ATM can be reduced.

In order to make the above-mentioned features and advantages of the new creation more obvious and understandable, the following specific examples are given in conjunction with the accompanying drawings to describe in detail as follows.

Fig. 1 is a schematic diagram of a system 100 for determining a withdrawal result according to an embodiment of the new creation. Please refer to FIG. 1, the system 100 includes a cash machine 110, a crime prevention server 120 and a bank server 130.

The cash dispenser 110 may include a camera 111.

The crime prevention server 120 may be communicatively connected to the cash machine 110 and the bank server 130 respectively.

The crime prevention server 120 of the present invention can use the (pre-stored) withdrawal record set to determine the withdrawal result of subsequent withdrawals (the result of withdrawal failure or the result of successful withdrawal). The following will first explain how the crime prevention server 120 obtains (and stores) the withdrawal record set.

[The crime prevention server 120 obtains (and stores) a collection of withdrawal records]

Suppose that the identification (identity card number) of a specific user 1 is A123456789, and suppose that this user 1 is a user of the bank of the bank where the bank server 130 is set up.

When user 1 opens an account at the bank (the bank server 130 is set up), user 1 can provide pre-stored auxiliary information (for example, user 1’s birthday, user 1’s phone number) to the bank so that the bank server 130 can store the corresponding Identify the pre-stored auxiliary information of A123456789 to assist subsequent identity verification. In addition, user 1 can obtain (hold) an ATM card including the identification A123456789.

Assume that the withdrawal record set stored by the crime prevention server 120 at this time does not include the withdrawal record with the identification A123456789. When user 1 inserts the ATM card (including the one that recognizes A123456789) into the ATM 110 at a specific withdrawal time 2021/06/20 16:00:00 and enters the correct ATM card password (that is, the ATM 110 receives Corresponding to the withdrawal request of the ATM card and the correct ATM card password), the ATM 110 can obtain the identification A123456789 from the ATM card.

The cash dispenser 110 can also obtain the facial image of the cashier (user 1) through the camera 111. Since the facial image of the cashier is more confidential information, in order to de-identify this data, the cash machine 110 can use the facial image of the cashier to obtain the hash value of the facial feature of the cashier. For example, the cash dispenser 110 may obtain the image feature value of the image from the facial image of the cashier, and then perform a hash function on the feature value to obtain the cashier facial feature hash value.

Assume that the facial feature hash value of this withdrawal is XXXXXXXXXX. The cash dispenser 110 can send the identification A123456789 and the hash value XXXXXXXXXX of the facial feature of the cashier to the crime prevention server 120.

Since the withdrawal record set stored by the crime prevention server 120 at this time does not include this identification A123456789 withdrawal record, in order to confirm that the withdrawal (user 1) at this time is indeed a legitimate user, the crime prevention server 120 can download The bank server 130 obtains the pre-stored auxiliary information corresponding to the pre-stored identification A123456789 (that is, the birthday of user 1 and the phone number of user 1), and sends a reconfirmation request to the ATM 110 to request the withdrawal (user 1) to withdraw The cash machine 110 inputs auxiliary information.

In detail, after receiving the reconfirmation request, the ATM 110 can display a reconfirmation message of "Please enter your birthday and phone number for confirmation" to request the withdrawal (user 1) to enter auxiliary information at the ATM 110 .

Since the withdrawal (user 1) at this time is indeed the one who opened an account at the bank where the bank server 130 is set up (so the correct auxiliary information can be entered in the cash machine 110), the cash machine 110 will withdraw the money After the auxiliary information input by the person (user 1) is sent to the crime prevention server 120, the crime prevention server 120 will determine that the auxiliary information (received from the cash machine 110) matches the pre-stored auxiliary information (received from the bank server 130) Auxiliary information. Based on this, the crime prevention server 120 may determine that the withdrawal result is a successful withdrawal result.

Then, the crime prevention server 120 may store a withdrawal record set as shown in Table 1 (including withdrawal record 1). Table 1 An example of the withdrawal record set stored in the crime prevention server 120 Pre-stored recognition Hash value of facial features of pre-deposited withdrawals Historical withdrawal time Historical withdrawal results Withdrawal record 1 A123456789 XXXXXXXXXX 2021/06/20 16:00:00 Successful withdrawal result

[Using the (prestored) withdrawal record set to determine subsequent withdrawal results]

Assume that the crime prevention server 120 stores the withdrawal record set as shown in Table 1. When a withdrawal (at a specific withdrawal time 2021/06/22 19:00:00) inserts the ATM card (including A123456789) into the ATM 110 and enters the correct ATM card password, it is similar to the aforementioned implementation As illustrated in the example, the cash machine 110 can obtain the recognition A123456789 from the cash card, and obtain the cashier's facial feature hash value.

Assume that the facial feature hash value of this cashier is CCCCCCCCCC.

After the crime prevention server 120 receives the identification A123456789 and the cash withdrawal facial feature hash value CCCCCCCCCC from the cash machine 110, the crime prevention server 120 can according to the identification A123456789, the cash withdrawal facial feature hash value CCCCCCCCCC and (Table 1 ) The withdrawal record set determines the withdrawal result.

Furthermore, because the recognition A123456789 matches the pre-stored recognition of withdrawal record 1 (in Table 1), and the cashier facial feature hash value CCCCCCCCCC does not match the pre-deposited withdrawal record 1 in withdrawal record 1’s facial feature The hash value, and the historical withdrawal result of withdrawal record 1 (in Table 1) is the successful withdrawal result, in other words, although this withdrawal (withdrawal at 2021/06/22 19:00:00) Holds an ATM card that recognizes A123456789, but the hash value of the facial features of the withdrawal is not equal to XXXXXXXXXX in Table 1 (that is, the withdrawal may be a fraud criminal who knows the correct ATM card password), The crime prevention server 120 can obtain the pre-stored auxiliary information corresponding to the pre-stored identification A123456789 from the bank server 130 using the method described in the foregoing embodiment, and send a reconfirmation request to the cash machine 110 to request (at the time of withdrawal 2021 06/22 19:00:00 Withdrawal) This withdrawal enters auxiliary information into the ATM 110 to determine the withdrawal result.

If the crime prevention server 120 determines that the auxiliary information (received from the cash machine 110) matches the pre-stored auxiliary information (received from the bank server 130), the crime prevention server 120 may determine that the withdrawal result is a successful withdrawal result. In other words, because (withdrawing money at 19:00:00 on the withdrawal time 2021/06/22), the withdrawal has entered the correct auxiliary information into the cash machine 110, the crime prevention server 120 can determine the successful result of the withdrawal.

On the other hand, if (withdrawal at 2021/06/22 19:00:00 withdrawing time) the auxiliary information entered by the withdrawal at the cash machine 110 does not match the pre-stored auxiliary information, the crime prevention server 120 can determine The withdrawal result is the result of failed withdrawal. Then, the crime prevention server 120 may store the withdrawal record set as shown in Table 2 (that is, the withdrawal record 2 is added from Table 1). Table 2 Another example of the withdrawal record set stored by the crime prevention server 120 Pre-stored recognition Hash value of facial features of pre-deposited withdrawals Historical withdrawal time Historical withdrawal results Withdrawal record 1 A123456789 XXXXXXXXXX 2021/06/20 16:00:00 Successful withdrawal result Withdrawal record 2 A123456789 CCCCCCCCCC 2021/06/22 19:00:00 Result of failed withdrawal

If the withdrawal result (for example, withdrawal record 2 in Table 2) is the result of withdrawal failure, the crime prevention server 120 can obtain the facial image of the withdrawal and the location of the cash machine 110 from the cash machine 110, and send it Withdrawal time (2021/06/22 19:00:00), the location of the ATM 110, the facial image of the withdrawal, and the electronic device that recognizes A123456789 to the customer service terminal (not shown) for use by customer service personnel The electronic device of the customer service terminal performs voice confirmation with the cashier in front of the cash machine 110.

If the customer service staff finds an abnormality (for example, the withdrawal can not correctly answer other questions asked by the customer service staff), the customer service staff can notify the police agency (such as the 165 system of the Criminal Police Department of the Police Department) through the electronic device of the customer service terminal.

Assume that the crime prevention server 120 stores the withdrawal record set as shown in Table 2. In another embodiment, when a certain withdrawal (at a specific withdrawal time 2021/06/25 08:00:00) inserts an ATM card (including the one that identifies C123456789) into the ATM 110 and enters the correct ATM card After the password, similar to the description in the foregoing embodiment, the cash machine 110 can obtain the identification C123456789 from the cash card, and obtain the cashier's facial feature hash value.

Assume that the facial feature hash value of this cashier is CCCCCCCCCC.

After the crime prevention server 120 receives the identification C123456789 and the cash withdrawal facial feature hash value CCCCCCCCCC from the cash machine 110, the crime prevention server 120 can recognize C123456789, the cash withdrawal facial feature hash value CCCCCCCCCC and (Table 2) ) The withdrawal record set determines the withdrawal result of the withdrawal request.

Because the recognition C123456789 does not match the pre-stored recognition (C123456789 does not match the pre-stored recognition of withdrawal record 1 in Table 2, nor does it match the pre-stored recognition of withdrawal record 2 in Table 2), and the cashier’s facial feature hash value CCCCCCCCCC matches (Table 2 2) Pre-stored withdrawer’s facial feature hash value. In other words, the crime prevention server 120 can learn from withdrawal record 2 that this withdrawal has used another one (including A123456789) to withdraw money. Card withdrawal, that is, the withdrawal may be a fraud criminal (recurring criminal) who knows (multiple) correct ATM card passwords. The crime prevention server 120 can use the method described in the foregoing embodiment to obtain a server from the bank. The device 130 obtains the pre-stored auxiliary information corresponding to the pre-stored identification C123456789, and sends a reconfirmation request to the cash machine 110 to request the cashier to input auxiliary information at the cash machine 110 to determine the withdrawal result.

In another embodiment, after the cash machine 110 obtains the facial image of the cashier through the camera 111, if the cash machine 110 cannot use the facial image of the cashier to obtain the cashier facial feature hash value (for example, the cashier The cashier 110 can also display a reconfirmation message to request the cashier to input auxiliary information at the cash machine 110, and the crime prevention server 120 will determine it (from the withdrawal Whether the auxiliary information received by the cash machine 110 matches (received from the bank server 130) is pre-stored auxiliary information to determine the withdrawal result.

It should be noted that the number of cash dispensers 110 shown in FIG. 1 is only for illustration, and the creation of the present invention is not limited to this.

In summary, the system for judging the results of withdrawals created by the new model can combine the recognition in the withdrawal card and the hash value of the withdrawal (obtained from the facial image of the withdrawal) with the pre-stored withdrawal Compare the withdrawal record set to determine the withdrawal result. In addition, after further confirming the birthday and/or phone number and determining that the withdrawal result is a withdrawal failure result, the customer service staff can also voice confirmation. Based on this, the risk of criminals stealing cash from the ATM can be reduced.

Although the creation of this new type has been disclosed in the above embodiments, it is not intended to limit the creation of this new type. Anyone with ordinary knowledge in the technical field can make some changes and changes without departing from the spirit and scope of the creation of this new type. Retouching, therefore, the scope of protection for the creation of this new model shall be subject to the scope of the attached patent application.

100: System used to determine the results of withdrawals 110: ATM 111: Camera 120: Crime Prevention Server 130: Bank Server

Fig. 1 is a schematic diagram of a system for determining a withdrawal result according to an embodiment of the new creation.

100: System used to determine the results of withdrawals

110: ATM

111: Camera

120: Crime Prevention Server

130: Bank Server

Claims (5)

A system for determining the results of withdrawals, including: A cash machine, including a video camera; and A crime prevention server, communicatively connected to the cash machine, and storing a withdrawal record set including at least one first withdrawal record, wherein: In response to receiving a withdrawal request corresponding to an ATM card and a correct ATM card password, the ATM obtains an identification from the ATM card, and obtains a facial image of an ATM through the camera , The cash dispenser obtains a cashier facial feature hash value by using the cashier facial image, The cash dispenser transmits the identification and the hash value of the facial feature of the cash withdrawal to the crime prevention server, The crime prevention server determines a withdrawal result of the withdrawal request based on the recognition, the hash value of the withdrawal facial feature, and the withdrawal record set. The system for determining the results of withdrawals according to claim 1, further comprising a bank server communicatively connected to the crime prevention server, wherein the at least one first withdrawal record includes a pre-stored identification and a pre-stored The cashier's facial feature hash value, a historical withdrawal time and a historical withdrawal result, and the bank server stores a pre-stored auxiliary information corresponding to the pre-stored identification, wherein: If the crime prevention server determines that the recognition matches the pre-stored recognition, and the crime prevention server determines that the cashier's facial feature hash value does not match the pre-stored cashier's facial feature hash value, and The historical withdrawal result is a successful withdrawal result, and the crime prevention server obtains the pre-stored auxiliary information corresponding to the pre-stored identification from the bank server, and sends a re-confirmation request to the cash machine , In response to receiving the reconfirmation request, the cash dispenser displays a reconfirmation message, and receives auxiliary information through an input device of the cash dispenser, The crime prevention server receives the auxiliary information from the cash machine, If the auxiliary information does not match the pre-stored auxiliary information, the crime prevention server determines that the withdrawal result is a withdrawal failure result, If the auxiliary information matches the pre-stored auxiliary information, the crime prevention server determines that the withdrawal result is a successful withdrawal result. The system for determining a withdrawal result according to claim 1, further comprising a bank server communicatively connected to the crime prevention server, wherein the at least one first withdrawal record includes a pre-stored identification and a pre-stored The cashier’s facial feature hash value, a historical withdrawal time and a historical withdrawal result, and the bank server stores a pre-stored auxiliary information corresponding to the pre-stored identification , wherein: if the crime prevention server determines The recognition does not match the pre-stored recognition, and the crime prevention server determines that the cashier’s facial feature hash value matches the pre-stored cashier’s facial feature hash value, and the crime prevention server obtains information from the The bank server obtains the pre-deposited auxiliary information corresponding to the pre-deposit identification, and sends a re-confirmation request to the cash machine. In response to receiving the re-confirmation request, the cash machine displays a re-confirmation message and passes An input device of the cash machine receives auxiliary information, the crime prevention server receives the auxiliary information from the cash machine, and if the auxiliary information does not match the pre-stored auxiliary information, the crime prevention server The device determines that the withdrawal result is a withdrawal failure result, and if the auxiliary information matches the pre-stored auxiliary information, the determination that the withdrawal result is a successful withdrawal result. The system for determining the results of withdrawals as described in claim 1, in which: The crime prevention server uses the recognition, the hash value of the facial feature of the withdrawal, a withdrawal time corresponding to the withdrawal request, and the withdrawal result as a second withdrawal record, and records The second withdrawal record is added to the withdrawal record set. The system for determining the result of withdrawal according to claim 1, wherein the cash dispenser is set in a position, wherein: If the withdrawal result is a withdrawal failure result, the crime prevention server transmits a withdrawal time corresponding to the withdrawal request, the location, the facial image of the withdrawal, and the identification to An electronic device on the customer service side.

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