TWM556366U - Image analysis device and system - Google Patents

Abstract

An image analysis system includes an image capture device and an image analysis device. The image capture device includes a camera module for capturing image information and a transmission module for connecting the camera module, and the sending module transmits image information. The image analysis device includes a transceiver module, an image recognition module connected to the transceiver module, an analysis module connected to the image recognition module, and an event response module connected to the analysis module, and the transceiver module receives the image information. The image recognition module identifies the image information, and the analysis module determines whether to trigger a risk event according to the identification result of the image recognition module and a transaction condition, and when the risk event is triggered, the event response module executes the corresponding risk event. Respond to the action.

Description

Image analysis device and system

The present invention relates to an image analysis device and system, and more particularly to an image analysis device and system capable of actively detecting an abnormal risk event.

In recent years, with the increasing demand for banking and financial services, ATMs are now inseparable from people's lives in order to handle various financial transactions such as withdrawals, deposits, remittances and payment. A big helper for financial transactions.

Traditional ATMs use magnetic stripe cards or wafers on chip cards to record user account financial information, allowing users to self-check out bank deposits such as withdrawals, deposits, remittances, and payment by entering passwords. service. However, although the password verification method is convenient, there is a great risk. Since the input password is a recognition card, it can only be determined that the withdrawal card is the same group as the input password, and it is impossible to confirm whether the person using the ATM card is The owner of the ATM card, when encountering an abnormal risk event such as the user being coerced by others or being used by himself, the traditional ATM will be difficult to identify.

Therefore, the purpose of the present invention is to provide an image analysis system capable of actively detecting an abnormal risk event.

Therefore, the image analysis system includes an image capturing device and an image analyzing device. The image capturing device includes a camera module for capturing image information and a transmitting module for connecting the camera module, and the sending module sends The image analysis device includes a transceiver module, an image recognition module connected to the transceiver module, an analysis module connected to the image recognition module, and an event response module connected to the analysis module, and the transceiver module Receiving the image information, the image recognition module identifies the image information, and the analysis module determines whether to trigger a risk event according to the identification result of the image recognition module and a transaction condition, and when the risk event is triggered, the event response module executes Response actions in response to a risk event.

Further, the image capturing device further includes a receiving module connected to the transmitting module, and the receiving module receives a financial transaction information and transmits the information to the image analyzing device through the sending module, where the financial transaction information includes an account number, a transaction number, an amount, and the like. .

In an embodiment, the image recognition module recognizes that the image information is the same person, and the transaction condition is that the withdrawal or withdrawal of the payment exceeds a certain number of times within a certain period of time. When the analysis module determines that the risk event is triggered, the event response mode is The group performs a response action to delay the transaction.

In an embodiment, the image recognition module recognizes the image information as a different person, and the transaction condition is that the transaction is performed using the same account for a certain number of times within a certain period of time. When the analysis module determines that the risk event is triggered, the event response module executes the transaction. Block the response action.

In an embodiment, the image analysis device further includes an event database connected to the analysis module, the event database stores a plurality of risk events, and the analysis module is based on the identification result of the image recognition module and the transaction condition from the event database. A comparison is made as to whether there is a corresponding risk event, and if so, it is determined that the risk event is triggered.

In an embodiment, the transceiver module is further in communication with an identification database of a third-party server, and the image recognition module uses the identification database to identify the image information.

In addition, the image analysis device of the present invention comprises a transceiver module for receiving an image information, an image recognition module for connecting the transceiver module, an analysis module for connecting the image recognition module, and an event response of the connection analysis module. The module, the image recognition module identifies the image information, and the analysis module determines whether to trigger a risk event according to the identification result of the image recognition module and a transaction condition, and when the risk event is triggered, the event response module performs the corresponding risk The response action of the event.

In an embodiment, the image recognition module recognizes that the image information is the same person, and the transaction condition is that the withdrawal or withdrawal of the payment exceeds a certain number of times within a certain period of time. When the analysis module determines that the risk event is triggered, the event response mode is The group performs a response action to delay the transaction.

In an embodiment, the image recognition module recognizes the image information as a different person, and the transaction condition is that the transaction is performed using the same account for a certain number of times within a certain period of time. When the analysis module determines that the risk event is triggered, the event response module executes the transaction. Block the response action.

In an embodiment, the image analysis device further includes an event database connected to the analysis module, the event database stores a plurality of risk events, and the analysis module is based on the identification result of the image recognition module and the transaction condition from the event database. The comparison compares whether there is a corresponding risk event, and if so, determines that the risk event is triggered.

In an embodiment, the transceiver module is further in communication with an identification database of a third-party server, and the image recognition module uses the identification database to identify the image information.

The effect of the novel is that it can actively detect abnormal risk events such as forced withdrawal or non-self withdrawal, which can effectively avoid the financial loss of the user.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same reference numerals.

Referring to FIG. 1 , an embodiment of the present image analysis system 100 is applied to an automatic teller machine (ATM), a payment machine, or other types of automation equipment, and can be configured through image collection and event setting. The end or server side performs the corresponding action response. In the embodiment, the image analysis system 100 includes an image capture device 10 and an image analysis device 20 that communicates with the image capture device 10.

The image capturing device 10 is an automatic device located at the user end, such as an automatic teller machine (ATM), a payment machine, etc., including a receiving module 11, a camera module 12, a connection receiving module 11, and a camera. The transmitting module 13 of the module 12.

The receiving module 11 is configured to receive a financial transaction information. For example, the image capturing device 10 is an automatic cash dispenser. The receiving module 11 can receive various financial inputs entered by the user through the buttons on the cash dispenser. Transaction information, or actively read the financial card inserted in the cash dispenser to receive financial transaction information, the financial transaction information includes account number, number of transactions, amount, and the like. The camera module 12 is an imaging device or component, such as a digital camera or lens disposed on an automatic teller machine. The camera module 12 captures the facial image of the user of the cash dispenser (or a person located near the cash dispenser) and generates an image information. The sending module 13 is configured to send the financial transaction information and the image information to the image analyzing device 20.

The image analysis device 20 is a server or a background host at the bank end (or the enterprise end), and includes a transceiver module 21, an image recognition module 22 connected to the transceiver module 21, and a connection image recognition module 22. The analysis module 23, an event database 24 connected to the analysis module 23, and an event response module 25 connected to the analysis module 23.

The transceiver module 21 is configured to communicate with the image capturing device 10, and receives the financial transaction information and the image information sent by the transmitting module 13. The image recognition module 22 performs image recognition on the image information, and the identification method may be performed by comparing an image database (not shown), and the image database stores image information corresponding to each financial account. The image information usually includes tens to hundreds of facial feature points, and the image recognition module 22 compares the facial feature points one by one, and determines the image if the number of comparisons reaches a certain value or a certain ratio. The information is correct, that is, the user is the owner of the financial account. Of course, the above identification method is only an example, and is not limited thereto.

The analysis module 23 determines whether to trigger a risk event according to the identification result of the image recognition module 22 and a transaction condition. In this embodiment, the event database 24 stores a plurality of different risk events, and the analysis module 23 is based on the image. The identification result of the identification module 22 and the transaction condition are compared from the event database 24 to determine whether there is a corresponding risk event, and if so, it is determined that the risk event is triggered. In addition, the trading conditions will be different with different risk events, such as: trading in a certain period of time exceeds a certain number of times, or different facial features with the same account transactions more than a certain number of times.

The event response module 25 stores a plurality of responses or execution procedures corresponding to the risk events. When the analysis module 23 determines that a certain risk event is detected, the event response module 25 performs a response to the corresponding risk event. action.

For example, if the image recognition module 22 recognizes the same facial feature and continuously withdraws or transfers funds for more than 10 times (transaction conditions) within 12 hours, the user may be coerced and taken out or transferred in a short time. A large amount of money, when the analysis module 23 determines that the condition of a certain risk event is met, the risk event is triggered, and the event response module 25 performs a response action of delaying the transaction, and the event response module 25 transmits the transceiver module 21 A delay signal is transmitted, so that a display (not shown) of the image capturing device 10 displays a warning message for delaying the transaction, and temporarily stops the transaction and displays the push message to protect the financial security of the user.

For another example, if the image recognition module 22 recognizes different facial features (ie, not the financial account owner), and uses the same account transaction for more than 5 times (transaction conditions) within 12 hours, the financial account owner may be stolen. If the analysis module 23 determines that the condition of a certain risk event is met, the risk event is triggered, and the event response module 25 performs a transaction blocking response action, and the event response module 25 transmits and receives the response mode. The group 21 transmits a blocking signal to cause the image capturing device 10 to immediately stop the transaction and display the push message to protect the financial security of the user.

In addition, in some specific embodiments, the transceiver module 21 can also communicate with a recognition database 31 of the server 30 of the third party (for example, an anti-fraud database located in the police department), as shown in FIG. 2 Shown. In the specific application, the analysis module 23 can communicate with the transceiver module 21 to cause the image recognition module 22 to compare the facial features of the user (ie, image information) with the data in the identification database 31. Assuming that the identification database 31 is an anti-fraud database of the police department, the image recognition module 22 can identify whether the user is an unsuccessful driver, a suspect or a criminal, if the identification result is " Yes (ie, the transaction condition is met), the event response module 25 performs a response action of the alert, and sends a warning message to the website of the police department or the relevant unit through the transceiver module 21.

In particular, the above-mentioned risk events, trading conditions and response actions are merely illustrative. The number, content and corresponding trading conditions and response actions of the risk events in the event database 24 can be adjusted according to different needs. The example is limited. In addition, the image recognition module 22 and the analysis module 23, or the analysis module 23 and the event response module 25 can be integrated into the same wafer in different applications, which is also not limited to the embodiment.

In summary, the image analysis system 100 of the present invention utilizes the image recognition technology and the setting of the event, so that the device end or the server end (ie, the image analysis device 20) can perform the corresponding response action, thus actively detecting the withdrawal of funds such as coercion. Or the abnormal risk event of the withdrawal of the person can effectively avoid the financial loss of the user, so the purpose of the novel can be achieved.

However, the above is only the embodiment of the present invention, and when it is not possible to limit the scope of the present invention, all the simple equivalent changes and modifications according to the scope of the patent application and the contents of the patent specification are still This new patent covers the scope.

100‧‧‧Image Analysis System
10‧‧‧Image capture device
11‧‧‧ receiving module
12‧‧‧ camera module
13‧‧‧Send module
20‧‧‧Image analysis device
21‧‧‧ transceiver module
22‧‧‧Image recognition module
23‧‧‧Analysis module
24‧‧‧ event database
25‧‧‧ incident response module
30‧‧‧Server
31‧‧‧ Identification database

Other features and effects of the present invention will be apparent from the following description of the drawings, wherein: FIG. 1 is a block diagram of an embodiment of the present image analysis system; and FIG. 2 is a novel image analysis system. A block diagram of another embodiment of the circuit.

Claims (11)

An image analysis system comprising: an image capturing device comprising: a camera module for capturing image information and a transmitting module connected to the camera module, the transmitting module transmitting the image information; and an image analyzing device The method includes a transceiver module, an image recognition module connected to the transceiver module, an analysis module connected to the image recognition module, and an event response module connected to the analysis module, the transceiver module receiving the Image information, the image recognition module identifies the image information, and the analysis module determines whether to trigger a risk event according to the identification result of the image recognition module and a transaction condition, and when the risk event is triggered, the event response module Perform responses to the risk event. The image analysis system of claim 1, wherein the image capture device further comprises a receiving module connected to the transmitting module, the receiving module receiving a financial transaction information and transmitting the image to the image through the transmitting module The analysis device includes the account number, the number of transactions, the amount, and the like. The image analysis system of claim 1, wherein the image recognition module recognizes the image information as the same person, and the transaction condition is that the withdrawal or withdrawal of the payment exceeds a certain number of times within a certain period of time, when the analysis module determines When the risk event is triggered, the event response module performs a response action to delay the transaction. The image analysis system of claim 1, wherein the image recognition module recognizes the image information as a different person, and the transaction condition is that the transaction is performed using the same account for a certain number of times within a certain period of time, and the analysis module determines the risk event. When triggered, the event response module performs a transaction blocking response action. The image analysis system of claim 1, wherein the image analysis device further comprises an event database connected to the analysis module, wherein the event database stores a plurality of risk events, and the analysis module is based on the image recognition mode. The identification result of the group and the transaction condition are compared from the event database to see if there is a corresponding risk event, and if so, it is determined that the risk event is triggered. The image analysis system of claim 1, wherein the transceiver module is further in communication with a recognition database of a third-party server, and the image recognition module uses the identification database to identify the image information. An image analysis device comprising: a transceiver module for receiving an image information; an image recognition module coupled to the transceiver module, the image recognition module identifying the image information; an analysis module connecting the image recognition module The analysis module determines whether to trigger a risk event according to the identification result of the image recognition module and a transaction condition; and an event response module that is connected to the analysis module, and when the risk event is triggered, the event response module Perform responses to the risk event. The image analysis device of claim 7, wherein the image recognition module recognizes the image information as the same person, and the transaction condition is that the withdrawal or withdrawal of the payment exceeds a certain number of times within a certain period of time, when the analysis module determines When the risk event is triggered, the event response module performs a response action to delay the transaction. The image analysis device of claim 7, wherein the image recognition module recognizes the image information as a different person, and the transaction condition is that the transaction is performed using the same account for a certain number of times within a certain period of time, and the analysis module determines the risk event. When triggered, the event response module performs a transaction blocking response action. The image analysis device of claim 7, wherein the image analysis device further comprises an event database connected to the analysis module, wherein the event database stores a plurality of risk events, and the analysis module is based on the image recognition module. The identification result of the group and the transaction condition are compared from the event database to see if there is a corresponding risk event, and if so, it is determined that the risk event is triggered. The image analysis device of claim 7, wherein the transceiver module is further in communication with an identification database of a third-party server, and the image recognition module uses the identification database to identify the image information.