CN111932525A - Method and device for detecting left physical objects at physical delivery port of bank equipment - Google Patents
Method and device for detecting left physical objects at physical delivery port of bank equipment Download PDFInfo
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- CN111932525A CN111932525A CN202010836886.9A CN202010836886A CN111932525A CN 111932525 A CN111932525 A CN 111932525A CN 202010836886 A CN202010836886 A CN 202010836886A CN 111932525 A CN111932525 A CN 111932525A
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- G—PHYSICS
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- G07F—COIN-FREED OR LIKE APPARATUS
- G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
- G07F19/20—Automatic teller machines [ATMs]
- G07F19/207—Surveillance aspects at ATMs
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
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Abstract
The invention discloses a method and a device for detecting left physical objects at a physical delivery port of bank equipment, wherein the device comprises the following steps: the application processing layer is used for respectively issuing image acquisition instructions before and after a customer operates the real object delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object; the camera module is used for respectively acquiring images before and after a customer operates a bank equipment real object delivery port according to an image acquisition instruction to obtain a pre-transaction image group and a post-transaction image group; and the image comparison module is used for comparing and analyzing the image group before the transaction and the image group after the transaction to obtain a left-over real object detection result of the real object delivery port of the bank equipment. The invention accurately detects whether the bank delivery port has the left-over real object, thereby avoiding the condition that the normal service of the equipment is influenced because the delivery port has the left-over real object.
Description
Technical Field
The invention relates to the technical field of automation, in particular to a method and a device for detecting a left real object at a real object delivery port of bank equipment.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
The delivery of automated physical delivery equipment (such as a cash recycling machine and the like) at a bank outlet usually occurs at a delivery port of the automated equipment, such as a cash deposit and withdrawal port of a cash device. When the last client finishes the delivery of the real object, the delivery port is usually required to have no left real object, so as to ensure the normal start of the next client. However, due to different operation habits of customers, objects, such as left-over bundled banknote strips, rubber bands, coins, even banknotes, etc., are usually left at the delivery port, and the sensor at the delivery port of the current banking device cannot accurately detect the left-over objects, so that the next customer fails to work when using the device, which affects normal service.
Disclosure of Invention
The embodiment of the invention provides a device for detecting a left real object of a real object delivery port of bank equipment, which is used for accurately detecting the left real object of the real object delivery port of the bank equipment, and comprises:
the application processing layer is used for issuing a first image acquisition instruction before a customer operates a bank equipment material object delivery port; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object;
the camera module is used for acquiring images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group;
and the image comparison module is used for comparing and analyzing the image group before the transaction and the image group after the transaction to obtain a left-over real object detection result of the real object delivery port of the bank equipment.
The embodiment of the invention also provides a method for detecting the left real object of the real object delivery port of the bank equipment, which is used for accurately detecting the left real object of the real object delivery port of the bank equipment and comprises the following steps:
the application processing layer sends a first image acquisition instruction before a customer operates a physical delivery port of the bank equipment;
the camera module acquires images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group;
the application processing layer sends a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment;
the camera module collects images after a customer operates a real object delivery port of the bank equipment according to a second image collection instruction to obtain a post-transaction image group;
the application processing layer calls the image comparison module after the image pickup module obtains the image group before transaction and the image group after transaction;
the image comparison module is used for comparing and analyzing the image group before transaction and the image group after transaction to obtain a left real object detection result of the real object delivery port of the bank equipment;
and the application processing layer sends a notification message of the left-over physical detection result after the image comparison module obtains the left-over physical detection result.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the method for detecting the left physical object of the physical delivery port of the bank equipment.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program for executing the method for detecting the left physical delivery port of the bank equipment.
In the embodiment of the invention, the application processing layer is used for issuing a first image acquisition instruction before a customer operates a bank equipment material object delivery port; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object; the camera module is used for acquiring images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group; the image comparison module is used for comparing and analyzing the image group before transaction and the image group after transaction to obtain a left-over object detection result of the object delivery port of the bank equipment, so that whether a left-over object exists in the object delivery port of the bank can be accurately detected through the image comparison module. Compared with the prior art, the problem that the sensor of the delivery port cannot accurately detect the left real object in the traditional technology is solved; in addition, the condition that normal service of the equipment is influenced due to the fact that the delivery port has the left-over object is avoided by detecting the left-over object.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a schematic structural diagram of a device for detecting a left material object at a material object delivery port of a banking apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an example of a legacy physical object detection apparatus of a physical delivery port of a banking apparatus in an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method for detecting a left physical object at a physical delivery port of a banking device according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of a method for detecting a left physical object at a physical delivery port of a banking device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a computer device for operating the method for detecting the left physical delivery of the physical delivery port of the banking device according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
The device for detecting the left real object of the real object delivery port of the bank equipment, provided by the embodiment of the invention, can be used for accurately detecting the left real object of the real object delivery port of the bank equipment, and as shown in fig. 1, the device comprises:
the application processing layer 01 is used for issuing a first image acquisition instruction before a customer operates a bank equipment material object delivery port; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object;
the camera module 02 is used for acquiring images before a customer operates a bank equipment material object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group;
and the image comparison module 03 is used for comparing and analyzing the image group before the transaction and the image group after the transaction to obtain a left real object detection result of the real object delivery port of the bank equipment.
In the embodiment of the invention, the application processing layer is used for issuing a first image acquisition instruction before a customer operates a bank equipment material object delivery port; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object; the camera module is used for acquiring images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group; the image comparison module is used for comparing and analyzing the image group before transaction and the image group after transaction to obtain a left-over object detection result of the object delivery port of the bank equipment, so that whether a left-over object exists in the object delivery port of the bank can be accurately detected through the image comparison module. Compared with the prior art, the problem that the sensor of the delivery port cannot accurately detect the left real object in the traditional technology is solved; in addition, the condition that normal service of the equipment is influenced due to the fact that the delivery port has the left-over object is avoided by detecting the left-over object.
In specific implementation, the application processing layer can be used for issuing a first image acquisition instruction before a customer operates a bank equipment material object delivery port; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; and sending a notification message of the left-over real object detection result after the image comparison module obtains the left-over real object detection result.
In an embodiment, the application processing layer may be specifically configured to: and when the detection result of the left real object at the real object delivery port of the bank equipment indicates that the left real object exists, sending an abnormal delivery port alarm message.
In the embodiment, the application processing layer can realize the calling of the camera module after issuing the image acquisition instruction before and after the customer operates the real object delivery port of the bank equipment, so as to obtain the image group before transaction and the image group after transaction; the application processing layer can also send a notification message of the detection result of the left-behind real object, such as sending a notification message to the staff whether the left-behind real object exists at the real object delivery port of the bank device.
In specific implementation, the camera module can be used for acquiring images before a customer operates a real object delivery port of the bank equipment according to the first image acquisition instruction to obtain a pre-transaction image group; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group;
in the embodiment, the camera module can be installed above a gate of a physical delivery port of the bank equipment.
In the embodiment, the camera module is arranged above the gate of the real object delivery port of the bank equipment, so that the camera module can accurately acquire images, and comparison and analysis of the image group before transaction and the image group after transaction in subsequent steps are facilitated.
In the above embodiment, the camera module may include a camera installed above the gate of the physical delivery port of the banking apparatus.
During specific implementation, the module of making a video recording specifically can be used for: before a customer operates a bank device physical delivery port, acquiring images of the bank device physical delivery port in a closing state of a gate to obtain a pre-transaction image group; after a customer operates the bank equipment real object delivery port, acquiring images of the bank equipment real object delivery port in a closing state of a gate to obtain image groups after transaction.
In the embodiment, the camera module can be used for obtaining the image group before transaction and the image group after transaction, and is beneficial to comparing and analyzing the image group before transaction and the image group after transaction in the subsequent steps.
In the above embodiment, both the image group before transaction and the image group after transaction can be pictures taken by the camera.
During specific implementation, the image comparison module can be used for comparing and analyzing the image group before transaction and the image group after transaction to obtain a legacy real object detection result of the real object delivery port of the bank equipment.
In an embodiment, the image comparison module is specifically configured to: when the image group before the transaction is consistent with the image group after the transaction, determining that the detection result of the left real object at the real object delivery port of the bank equipment is that no left real object exists; and when the image group before the transaction is inconsistent with the image group after the transaction, determining that the detection result of the left real object at the real object delivery port of the bank equipment is the existence of the left real object.
In the embodiment, the image comparison module can judge whether the image group before the transaction is consistent with the image group after the transaction, so as to determine whether the bank equipment real object delivery port has a legacy real object.
Based on the above embodiment, the present invention provides a detailed structure of a legacy physical object detection apparatus for a physical delivery port of a banking device, wherein the physical delivery port of the banking device is a physical area where a customer makes a physical automatic delivery at a banking outlet, and generally has a gate capable of being automatically opened and closed. As shown in fig. 2, fig. 2 is a schematic structural diagram of an example of a legacy physical object detection apparatus for a physical delivery port of banking equipment in an embodiment of the present invention, where the apparatus may include:
the camera module: a first image acquisition instruction is issued before a customer operates a physical delivery port of the bank equipment; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object; the image group before transaction can be an image 1 group, and the image group after transaction can be an image 2 group. The camera module can also be arranged at a proper position above a gate of a material delivery port of the bank equipment, and is connected with a host of the bank equipment, and a drive corresponding to the camera module can be arranged;
the image comparison module: according to the first image acquisition instruction, image acquisition is carried out before a customer operates a bank equipment real object delivery port, and a pre-transaction image group is obtained; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group;
application of the processing layer: and comparing and analyzing the image 1 group and the image 2 group to obtain a left real object detection result of the real object delivery port of the bank equipment.
In the embodiment of the invention, the application processing layer is used for issuing a first image acquisition instruction before a customer operates a bank equipment material object delivery port; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object; the camera module is used for acquiring images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group; the image comparison module is used for comparing and analyzing the image group before transaction and the image group after transaction to obtain a left-over object detection result of the object delivery port of the bank equipment, so that whether a left-over object exists in the object delivery port of the bank can be accurately detected through the image comparison module. Compared with the prior art, the problem that the sensor of the delivery port cannot accurately detect the left real object in the traditional technology is solved; in addition, the condition that normal service of the equipment is influenced due to the fact that the delivery port has the left-over object is avoided by detecting the left-over object.
The embodiment of the present invention further provides a method for detecting a left real object at a real object delivery port of a bank device, which can be used to accurately detect a left real object at a real object delivery port of a bank device, and is applied to the device for detecting a left real object at a real object delivery port of a bank device, as shown in fig. 3, the method may include:
step 301: the application processing layer sends a first image acquisition instruction before a customer operates a physical delivery port of the bank equipment;
step 302: the camera module acquires images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group;
step 303: the application processing layer sends a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment;
step 304: the camera module collects images after a customer operates a real object delivery port of the bank equipment according to a second image collection instruction to obtain a post-transaction image group;
step 305: the application processing layer calls the image comparison module after the image pickup module obtains the image group before transaction and the image group after transaction;
step 306: the image comparison module is used for comparing and analyzing the image group before transaction and the image group after transaction to obtain a left real object detection result of the real object delivery port of the bank equipment;
step 307: and the application processing layer sends a notification message of the left-over physical detection result after the image comparison module obtains the left-over physical detection result.
In one embodiment, the camera module is installed above a gate of a physical delivery port of the bank equipment.
In one embodiment, the image capturing module, according to the first image capturing instruction, performs image capturing before the customer operates the physical delivery port of the banking device, and obtains the image group before transaction, which may include:
the method comprises the steps that a camera module collects images of a bank equipment real object delivery port in a closed state before a customer operates the bank equipment real object delivery port to obtain a pre-transaction image group;
the module of making a video recording carries out image acquisition after customer operation bank equipment material object delivery mouth according to second image acquisition instruction, obtains the back image group of transaction, can include:
the camera module collects images of the bank equipment in a closed state of a gate of the bank equipment real object delivery port after a customer operates the bank equipment real object delivery port, and a post-transaction image group is obtained.
In an embodiment, the image comparison module compares and analyzes the pre-transaction image group and the post-transaction image group to obtain a legacy object detection result of the real object delivery port of the banking device, as shown in fig. 4, the method may include the following steps:
step 401: when the image group before the transaction is consistent with the image group after the transaction, the image comparison module determines that the detection result of the left real object at the real object delivery port of the bank equipment is that no left real object exists;
step 402: and when the image group before the transaction is inconsistent with the image group after the transaction, determining that the detection result of the left real object at the real object delivery port of the bank equipment is the existence of the left real object.
In an embodiment, the method for detecting a left physical object at a physical delivery port of a banking device according to an embodiment of the present invention may further include:
and the application processing layer sends a delivery port abnormity warning message when the detection result of the left real object at the real delivery port of the bank equipment indicates that the left real object exists.
As shown in fig. 5, an embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where when the processor executes the computer program, the method for detecting a left physical object at a physical delivery port of a bank device is implemented.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program for executing the method for detecting the left physical delivery port of the bank equipment.
In the embodiment of the invention, the application processing layer is used for issuing a first image acquisition instruction before a customer operates a bank equipment material object delivery port; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object; the camera module is used for acquiring images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group; the image comparison module is used for comparing and analyzing the image group before transaction and the image group after transaction to obtain a left-over object detection result of the object delivery port of the bank equipment, so that whether a left-over object exists in the object delivery port of the bank can be accurately detected through the image comparison module. Compared with the prior art, the problem that the sensor of the delivery port cannot accurately detect the left real object in the traditional technology is solved; in addition, the condition that normal service of the equipment is influenced due to the fact that the delivery port has the left-over object is avoided by detecting the left-over object.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (11)
1. The utility model provides a bank equipment delivers leaving over in kind detection device in kind of mouth in kind which characterized in that includes:
the application processing layer is used for issuing a first image acquisition instruction before a customer operates a bank equipment material object delivery port; issuing a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment; after the image group before transaction and the image group after transaction are obtained by the camera module, calling an image comparison module; sending a notification message of the detection result of the left-over real object after the image comparison module obtains the detection result of the left-over real object;
the camera module is used for acquiring images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group; according to the second image acquisition instruction, acquiring images after a customer operates a real object delivery port of the bank equipment to obtain a post-transaction image group;
and the image comparison module is used for comparing and analyzing the image group before the transaction and the image group after the transaction to obtain a left-over real object detection result of the real object delivery port of the bank equipment.
2. The apparatus of claim 1, wherein the camera module is mounted above a gate of a physical delivery port of the banking machine.
3. The apparatus of claim 1, wherein the camera module is specifically configured to:
before a customer operates a bank device physical delivery port, acquiring images of the bank device physical delivery port in a closing state of a gate to obtain a pre-transaction image group;
after a customer operates the bank equipment real object delivery port, acquiring images of the bank equipment real object delivery port in a closing state of a gate to obtain image groups after transaction.
4. The apparatus of claim 1, wherein the image comparison module is specifically configured to:
when the image group before the transaction is consistent with the image group after the transaction, determining that the detection result of the left real object at the real object delivery port of the bank equipment is that no left real object exists;
and when the image group before the transaction is inconsistent with the image group after the transaction, determining that the detection result of the left real object at the real object delivery port of the bank equipment is the existence of the left real object.
5. The apparatus of claim 1, wherein the application processing layer is specifically configured to:
and when the detection result of the left real object at the real object delivery port of the bank equipment indicates that the left real object exists, sending an abnormal delivery port alarm message.
6. A method for detecting a left physical object at a physical delivery port of bank equipment, which is applied to the device of any one of claims 1 to 5, and comprises the following steps:
the application processing layer sends a first image acquisition instruction before a customer operates a physical delivery port of the bank equipment;
the camera module acquires images before a customer operates a bank equipment real object delivery port according to a first image acquisition instruction to obtain a pre-transaction image group;
the application processing layer sends a second image acquisition instruction after the customer operates the physical delivery port of the bank equipment;
the camera module collects images after a customer operates a real object delivery port of the bank equipment according to a second image collection instruction to obtain a post-transaction image group;
the application processing layer calls the image comparison module after the image pickup module obtains the image group before transaction and the image group after transaction;
the image comparison module is used for comparing and analyzing the image group before transaction and the image group after transaction to obtain a left real object detection result of the real object delivery port of the bank equipment;
and the application processing layer sends a notification message of the left-over physical detection result after the image comparison module obtains the left-over physical detection result.
7. The method as claimed in claim 6, wherein the step of acquiring images by the camera module according to the first image acquisition instruction before the customer operates the physical delivery port of the banking equipment to obtain the image group before transaction comprises:
the method comprises the steps that a camera module collects images of a bank equipment real object delivery port in a closed state before a customer operates the bank equipment real object delivery port to obtain a pre-transaction image group;
the module of making a video recording carries out image acquisition after customer operation bank equipment material object delivery mouth according to second image acquisition instruction, obtains the back image group of transaction, includes:
the camera module collects images of the bank equipment in a closed state of a gate of the bank equipment real object delivery port after a customer operates the bank equipment real object delivery port, and a post-transaction image group is obtained.
8. The method as claimed in claim 6, wherein the comparing and analyzing the image group before the transaction and the image group after the transaction by the image comparing and analyzing group to obtain the legacy object detection result of the real object delivery port of the bank device comprises:
when the image group before the transaction is consistent with the image group after the transaction, the image comparison module determines that the detection result of the left real object at the real object delivery port of the bank equipment is that no left real object exists; and when the image group before the transaction is inconsistent with the image group after the transaction, determining that the detection result of the left real object at the real object delivery port of the bank equipment is the existence of the left real object.
9. The method of claim 6, further comprising:
and the application processing layer sends a delivery port abnormity warning message when the detection result of the left real object at the real delivery port of the bank equipment indicates that the left real object exists.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 6 to 9 when executing the computer program.
11. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 6 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010836886.9A CN111932525B (en) | 2020-08-19 | 2020-08-19 | Method and device for detecting left-over real object of real object delivery port of bank equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010836886.9A CN111932525B (en) | 2020-08-19 | 2020-08-19 | Method and device for detecting left-over real object of real object delivery port of bank equipment |
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| Publication Number | Publication Date |
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| CN111932525A true CN111932525A (en) | 2020-11-13 |
| CN111932525B CN111932525B (en) | 2024-02-23 |
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| CN202010836886.9A Active CN111932525B (en) | 2020-08-19 | 2020-08-19 | Method and device for detecting left-over real object of real object delivery port of bank equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112733611A (en) * | 2020-12-15 | 2021-04-30 | 建信金融科技有限责任公司 | Legacy article detection method and device, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101937609A (en) * | 2010-09-20 | 2011-01-05 | 奇瑞汽车股份有限公司 | Method and device for reminding passengers of losing goods |
| CN102034318A (en) * | 2010-11-01 | 2011-04-27 | 秦小枢 | Safety monitoring device matched with ATM (automatic teller machine) machine |
| CN103679123A (en) * | 2012-09-17 | 2014-03-26 | 浙江大华技术股份有限公司 | Method and system for detecting remnant on ATM (Automatic Teller Machine) panel |
| CN107169885A (en) * | 2016-03-08 | 2017-09-15 | 湖南餐启科技有限公司 | A kind of customer's article leaves detection method and system |
| CN109409315A (en) * | 2018-11-07 | 2019-03-01 | 浩云科技股份有限公司 | A kind of ATM machine panel zone remnant object detection method and system |
| CN110991370A (en) * | 2019-12-09 | 2020-04-10 | 浩云科技股份有限公司 | Multi-channel information fusion ATM panel remnant detection method |
-
2020
- 2020-08-19 CN CN202010836886.9A patent/CN111932525B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101937609A (en) * | 2010-09-20 | 2011-01-05 | 奇瑞汽车股份有限公司 | Method and device for reminding passengers of losing goods |
| CN102034318A (en) * | 2010-11-01 | 2011-04-27 | 秦小枢 | Safety monitoring device matched with ATM (automatic teller machine) machine |
| CN103679123A (en) * | 2012-09-17 | 2014-03-26 | 浙江大华技术股份有限公司 | Method and system for detecting remnant on ATM (Automatic Teller Machine) panel |
| CN107169885A (en) * | 2016-03-08 | 2017-09-15 | 湖南餐启科技有限公司 | A kind of customer's article leaves detection method and system |
| CN109409315A (en) * | 2018-11-07 | 2019-03-01 | 浩云科技股份有限公司 | A kind of ATM machine panel zone remnant object detection method and system |
| CN110991370A (en) * | 2019-12-09 | 2020-04-10 | 浩云科技股份有限公司 | Multi-channel information fusion ATM panel remnant detection method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112733611A (en) * | 2020-12-15 | 2021-04-30 | 建信金融科技有限责任公司 | Legacy article detection method and device, electronic equipment and storage medium |
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