Intelligent access judgment system for vending machines

Abstract

The present invention relates to an intelligent access judgment system for automatic vending machines, comprising: a state detection device, for sending a first detection signal when it is detected that the automatic vending machine is currently performing an operation of putting in objects to be sold one by one, otherwise, sending a second detection signal; a photoelectric alarm mechanism, for executing a photoelectric alarm action corresponding to the width exceeding the limit when the layout width corresponding to the current object to be sold closest to the automatic vending machine exceeds the width of the widest storage cabinet of the automatic vending machine. The intelligent access judgment system for automatic vending machines of the present invention has compact logic and wide application. Since the layout width corresponding to the current object to be sold closest to the automatic vending machine can be intelligently identified and a width access alarm can be issued based on various visual information, the management level of the automatic vending machine is improved.

Description

Technical Field

[0001] The present invention relates to the field of financial payment, and in particular to an intelligent access judgment system for automatic vending machines. Background Art

[0002] From the development trend of vending machines, its emergence is the product of the transformation from a labor-intensive industrial structure to a technology-intensive society. Mass production, mass consumption, changes in consumption patterns and sales environment require the emergence of new distribution channels; and the emergence of new distribution channels such as supermarkets and department stores, labor costs are also rising; coupled with the limitations of venues and the convenience of shopping, unmanned vending machines have emerged as a necessary machine.

[0003] In a broad sense, it refers to machines that sell goods after inserting coins, banknotes, credit cards, etc. In a narrow sense, it refers to machines that automatically sell goods. From the perspective of supply conditions, automatic vending machines can fully supplement the shortage of human resources and adapt to changes in the consumption environment and consumption patterns. The 24-hour unmanned vending system can be more labor-saving, requires less capital and a small area for operation, has its own performance to attract people's curiosity to buy, and can well solve the problem of rising labor costs.

[0004] However, there are storage cabinets of various widths in the vending machine. When storing the items to be sold one by one, each item to be sold can be pushed by a robotic arm and a drive motor, but it is impossible to accurately determine whether the width of the item to be sold exceeds the width of the widest storage cabinet of the vending machine. Especially when the difference in numerical comparison is slight, it may lead to judgment deviations such as the items to be sold being pushed in but unable to be stored, or being able to be stored but not being sold due to misjudgment. Summary of the invention

[0005] In order to solve the technical problems in the related fields, the present invention provides an intelligent access judgment system for an automatic vending machine, which can judge the layout width corresponding to the current object to be sold that is closest to the automatic vending machine based on the depth of field value corresponding to the imaging area of ​​the object to be sold with the shallowest overall depth of field and the real-time reference quantity, and use a photoelectric alarm mechanism to execute a photoelectric alarm action corresponding to the width exceeding the limit when the received layout width corresponding to the current object to be sold that is closest to the automatic vending machine exceeds the width of the widest storage cabinet of the automatic vending machine, and to suspend the execution of the photoelectric alarm action corresponding to the width exceeding the limit when the received layout width corresponding to the current object to be sold that is closest to the automatic vending machine does not exceed the width of the widest storage cabinet of the automatic vending machine. In this way, in the process of placing the objects to be sold one by one into the automatic vending machine, the layout width corresponding to the current object to be sold that is closest to the automatic vending machine is intelligently identified and a width access alarm is issued, thereby improving the management level of the automatic vending machine.

[0006] According to the present invention, there is provided an intelligent admission determination system for an automatic vending machine, the system comprising:

[0007] A state detection device, configured to send a first detection signal when detecting that the automatic vending machine is currently performing an operation of putting in items to be vended one by one, and to send a second detection signal when detecting that the automatic vending machine is currently performing an operation of putting in items to be vended one by one;

[0008] A scene capture device is placed at a central position of the storage mechanism of the automatic vending machine and is connected to the state detection device, and is used to capture the scene of the objects to be vended in the automatic vending machine when receiving the first detection signal, so as to obtain and output a corresponding scene capture image;

[0009] A sharpening processing device, disposed in the automatic vending machine and connected to the scene capture device, for performing a sharpening process based on a USM filter on the received scene capture image to obtain and output a corresponding instant sharpened image;

[0010] A real-time enhancement device, connected to the sharpening processing device, for performing image frequency domain enhancement processing on the received instant sharpened image to obtain and output a corresponding real-time enhanced image;

[0011] A filtering operation device, connected to the real-time enhancement device, for performing maximum filtering processing on the received real-time enhanced image to obtain and output a corresponding maximum filtered image;

[0012] an admission judgment device, arranged in the automatic vending machine and connected to the filtering operation device, for receiving the maximum value filtering image, parsing the imaging areas corresponding to the objects to be sold from the maximum value filtering image according to the gray value distribution range corresponding to the objects to be sold, analyzing the geometric shape of the imaging area of ​​the objects to be sold with the shallowest overall depth of field to determine the width curve corresponding to the geometric shape, extracting the number of pixels occupied by the width curve in the maximum value filtering image as a real-time reference number, judging the layout width corresponding to the current object to be sold closest to the automatic vending machine based on the depth value corresponding to the imaging area of ​​the objects to be sold with the shallowest overall depth of field and the real-time reference number, wherein the layout width corresponding to the current object to be sold closest to the automatic vending machine is positively correlated with the depth value corresponding to the imaging area of ​​the objects to be sold with the shallowest overall depth of field, and is proportional to the real-time reference number;

[0013] A photoelectric alarm mechanism connected to the access judgment device is used to execute a photoelectric alarm action corresponding to the width exceeding the limit when the layout width corresponding to the current object to be sold closest to the automatic vending machine exceeds the width of the widest storage cabinet of the automatic vending machine;

[0014] The method comprises: analyzing the geometric shape of the imaging area of ​​the object for sale with the shallowest overall depth of field to determine a width curve corresponding to the geometric shape, extracting the number of pixel points occupied by the width curve in the maximum value filtered image as a real-time reference number, and judging the layout width corresponding to the current object for sale that is closest to the automatic vending machine based on the depth of field value corresponding to the imaging area of ​​the object for sale with the shallowest overall depth of field and the real-time reference number, including: determining the overall depth of field of the imaging area of ​​each object for sale based on the depth of field values ​​corresponding to the pixel points occupied by the imaging area of ​​each object for sale.

[0015] Therefore, the present invention has the following three outstanding technical effects:

[0016] Technical effect A: the imaging area of ​​the object to be sold is parsed from the maximum filter image according to the gray value distribution range corresponding to the object to be sold, the geometric shape of the imaging area of ​​the object to be sold is analyzed to determine the width curve corresponding to the geometric shape, and the number of pixels occupied by the width curve in the maximum filter image is extracted as a real-time reference number, thereby providing multiple basic data for subsequent width judgment of the object to be sold;

[0017] Technical effect B: the layout width corresponding to the current object for sale closest to the automatic vending machine is determined based on the depth of field value corresponding to the imaging area of ​​the object for sale with the shallowest overall depth of field and the real-time reference quantity, and the layout width corresponding to the current object for sale closest to the automatic vending machine is positively correlated with the depth of field value corresponding to the imaging area of ​​the object for sale with the shallowest overall depth of field, and is proportional to the real-time reference quantity;

[0018] Technical effect C: The photoelectric alarm mechanism is used to execute the photoelectric alarm action corresponding to the width exceeding the limit when the layout width corresponding to the current object to be sold that is closest to the vending machine exceeds the width of the widest storage cabinet of the vending machine, and to suspend the execution of the photoelectric alarm action corresponding to the width exceeding the limit of the current object to be sold when the layout width corresponding to the current object to be sold that is closest to the vending machine does not exceed the width of the widest storage cabinet of the vending machine. In this way, in the process of placing the objects to be sold one by one into the vending machine, the layout width corresponding to the current object to be sold that is closest to the vending machine is intelligently identified and the width access alarm is triggered, thereby improving the management level of the vending machine.

[0019] The intelligent access judgment system for vending machines of the present invention has compact logic and wide application. It can intelligently identify the layout width corresponding to the current to-be-sold object closest to the vending machine based on various visual information and issue a width access alarm, thereby improving the management level of the vending machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0021] Figure 1 The structure block diagram of the intelligent admission judgment system for automatic vending machines according to the first embodiment of the present invention is shown.

[0022] Figure 2 1 is a structural block diagram of an intelligent admission determination system for an automatic vending machine according to Embodiment 2 of the present invention.

[0023] Figure 3 1 is a structural block diagram of an intelligent admission determination system for an automatic vending machine according to Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0024] The following is a detailed description of an embodiment of the intelligent admission determination system for an automatic vending machine of the present invention with reference to the accompanying drawings.

[0025] Figure 1FIG. 1 is a structural block diagram of an intelligent access determination system for an automatic vending machine according to Embodiment 1 of the present invention. The system includes:

[0026] A state detection device, configured to send a first detection signal when detecting that the automatic vending machine is currently performing an operation of putting in items to be vended one by one, and to send a second detection signal when detecting that the automatic vending machine is currently performing an operation of putting in items to be vended one by one;

[0027] For example, the state detection device, when detecting that the automatic vending machine is currently performing the operation of putting in the items to be sold one by one, sends a first detection signal, and when not detecting that the automatic vending machine is currently performing the operation of putting in the items to be sold one by one, sends a second detection signal, includes: selecting an ASIC chip to implement the state detection device, when detecting that the automatic vending machine is currently performing the operation of putting in the items to be sold one by one, sends the first detection signal, and when not detecting that the automatic vending machine is currently performing the operation of putting in the items to be sold one by one, sends the second detection signal;

[0028] A scene capture device is placed at a central position of the storage mechanism of the automatic vending machine and is connected to the state detection device, and is used to capture the scene of the objects to be vended in the automatic vending machine when receiving the first detection signal, so as to obtain and output a corresponding scene capture image;

[0029] A sharpening processing device, disposed in the automatic vending machine and connected to the scene capture device, for performing a sharpening process based on a USM filter on the received scene capture image to obtain and output a corresponding instant sharpened image;

[0030] A real-time enhancement device, connected to the sharpening processing device, for performing image frequency domain enhancement processing on the received instant sharpened image to obtain and output a corresponding real-time enhanced image;

[0031] A filtering operation device, connected to the real-time enhancement device, for performing maximum filtering processing on the received real-time enhanced image to obtain and output a corresponding maximum filtered image;

[0032] an admission judgment device, arranged in the automatic vending machine and connected to the filtering operation device, for receiving the maximum value filtering image, parsing the imaging areas corresponding to the objects to be sold from the maximum value filtering image according to the gray value distribution range corresponding to the objects to be sold, analyzing the geometric shape of the imaging area of ​​the objects to be sold with the shallowest overall depth of field to determine the width curve corresponding to the geometric shape, extracting the number of pixels occupied by the width curve in the maximum value filtering image as a real-time reference number, judging the layout width corresponding to the current object to be sold closest to the automatic vending machine based on the depth value corresponding to the imaging area of ​​the objects to be sold with the shallowest overall depth of field and the real-time reference number, wherein the layout width corresponding to the current object to be sold closest to the automatic vending machine is positively correlated with the depth value corresponding to the imaging area of ​​the objects to be sold with the shallowest overall depth of field, and is proportional to the real-time reference number;

[0033] A photoelectric alarm mechanism connected to the access judgment device is used to execute a photoelectric alarm action corresponding to the width exceeding the limit when the layout width corresponding to the current object to be sold closest to the automatic vending machine exceeds the width of the widest storage cabinet of the automatic vending machine;

[0034] The step of analyzing the geometric shape of the imaging area of ​​the object to be sold with the shallowest overall depth of field to determine a width curve corresponding to the geometric shape, extracting the number of pixels occupied by the width curve in the maximum value filtering image as a real-time reference number, and judging the layout width corresponding to the current object to be sold closest to the automatic vending machine based on the depth of field value corresponding to the imaging area of ​​the object to be sold with the shallowest overall depth of field and the real-time reference number includes: determining the overall depth of field of the imaging area of ​​each portion of the object to be sold based on the depth of field values ​​corresponding to the pixels occupied by each portion of the imaging area of ​​the object to be sold;

[0035] The photoelectric alarm mechanism is further used to temporarily suspend the photoelectric alarm action corresponding to the width of the current object to be sold exceeding the limit when the received layout width corresponding to the current object to be sold closest to the automatic vending machine does not exceed the width of the widest storage cabinet of the automatic vending machine;

[0036] The scene capture device is further used to stop the capture process of the scene where the object to be sold is placed in the automatic vending machine when the second detection signal is received.

[0037] Figure 2 1 is a structural block diagram of an intelligent admission determination system for an automatic vending machine according to Embodiment 2 of the present invention.

[0038] Compared to Figure 1 , Figure 2The intelligent access determination system for the automatic vending machine may also include:

[0039] a timing server, connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, respectively, for providing the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with the timing services required by each of them;

[0040] The timing server is connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device respectively, and is used to provide the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with the timing services required by each device respectively, including: the timing server uses the same timing clock to provide the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with the timing services required by each device respectively;

[0041] Among them, the timing server uses the same timing clock to provide the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with the timing services they need respectively, including: the timing server uses the same timing clock to provide the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with reference clock signals of various changing waveforms of the same timing clock.

[0042] Figure 3 1 is a structural block diagram of an intelligent admission determination system for an automatic vending machine according to Embodiment 3 of the present invention.

[0043] Compared to Figure 1 , Figure 3 The intelligent access determination system for the automatic vending machine may also include:

[0044] a parallel data bus connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, respectively, and used to provide a parallel data communication link between any two of the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device;

[0045] The parallel data bus is respectively connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, and is used to provide a parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, including: providing a 64-bit parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device;

[0046] The parallel data bus is respectively connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, and is used to provide a parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, including: providing a 32-bit parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device;

[0047] The parallel data bus is respectively connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, and is used to provide a parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, including: providing a 16-bit parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device;

[0048] And wherein, the parallel data bus is respectively connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, and is used to provide a parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device. It also includes: the distance between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device is less than or equal to a set distance threshold.

[0049] In addition, in the intelligent admission judgment system for the automatic vending machine, determining the overall depth of field of the imaging area of ​​each object to be sold based on the respective depth of field values ​​corresponding to the respective pixel points of the imaging area occupied by the object to be sold includes: removing the maximum value and the minimum value of the respective depth of field values ​​corresponding to the respective pixel points of the imaging area occupied by the object to be sold, and then calculating the average value to obtain the overall depth of field of the imaging area of ​​the object to be sold.

[0050] While the present invention has been described in conjunction with the specific exemplary embodiments, it should be understood that the invention is not limited to the disclosed embodiments, but on the contrary, the invention is intended to cover various modifications and equivalent structures included within the spirit and scope of the appended claims and their equivalents.

Claims

1. An intelligent access judgment system for automatic vending machines, characterized in that: The system comprises: A state detection device, configured to send a first detection signal when detecting that the automatic vending machine is currently performing an operation of putting in items to be vended one by one, and send a second detection signal when detecting that the automatic vending machine is currently performing an operation of putting in items to be vended one by one; A scene capture device is placed at a central position of the storage mechanism of the automatic vending machine and is connected to the state detection device, and is used to capture the scene of the objects to be vended in the automatic vending machine when receiving the first detection signal, so as to obtain and output a corresponding scene capture image; A sharpening processing device, disposed in the automatic vending machine and connected to the scene capture device, for performing a sharpening process based on a USM filter on the received scene capture image to obtain and output a corresponding instant sharpened image; A real-time enhancement device, connected to the sharpening processing device, for performing image frequency domain enhancement processing on the received instant sharpened image to obtain and output a corresponding real-time enhanced image; A filtering operation device, connected to the real-time enhancement device, for performing maximum filtering processing on the received real-time enhanced image to obtain and output a corresponding maximum filtered image; an admission judgment device, arranged in the automatic vending machine and connected to the filtering operation device, for receiving the maximum value filtering image, parsing the imaging areas corresponding to the objects to be sold from the maximum value filtering image according to the gray value distribution range corresponding to the objects to be sold, analyzing the geometric shape of the imaging area of ​​the objects to be sold with the shallowest overall depth of field to determine the width curve corresponding to the geometric shape, extracting the number of pixels occupied by the width curve in the maximum value filtering image as a real-time reference number, judging the layout width corresponding to the current object to be sold closest to the automatic vending machine based on the depth value corresponding to the imaging area of ​​the objects to be sold with the shallowest overall depth of field and the real-time reference number, wherein the layout width corresponding to the current object to be sold closest to the automatic vending machine is positively correlated with the depth value corresponding to the imaging area of ​​the objects to be sold with the shallowest overall depth of field, and is proportional to the real-time reference number; A photoelectric alarm mechanism connected to the access judgment device is used to execute a photoelectric alarm action corresponding to the width exceeding the limit when the layout width corresponding to the current object to be sold closest to the automatic vending machine exceeds the width of the widest storage cabinet of the automatic vending machine; The method comprises: analyzing the geometric shape of the imaging area of ​​the object for sale with the shallowest overall depth of field to determine a width curve corresponding to the geometric shape, extracting the number of pixel points occupied by the width curve in the maximum value filtered image as a real-time reference number, and judging the layout width corresponding to the current object for sale that is closest to the automatic vending machine based on the depth of field value corresponding to the imaging area of ​​the object for sale with the shallowest overall depth of field and the real-time reference number, including: determining the overall depth of field of the imaging area of ​​each object for sale based on the depth of field values ​​corresponding to the pixel points occupied by the imaging area of ​​each object for sale.

2. The intelligent access determination system for an automatic vending machine according to claim 1, characterized in that: The photoelectric alarm mechanism is also used to temporarily suspend the photoelectric alarm action corresponding to the width of the current object to be sold exceeding the limit when the received layout width corresponding to the current object to be sold closest to the automatic vending machine does not exceed the width of the widest storage cabinet of the automatic vending machine; The scene capture device is further used to stop the capture process of the scene where the object to be sold is placed in the automatic vending machine when the second detection signal is received.

3. The intelligent access determination system for an automatic vending machine as claimed in claim 2, characterized in that: The system further comprises: a timing server, connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, respectively, for providing the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with the timing services required by each of them; Among them, the timing server is respectively connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, and is used to provide the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with the timing services they need respectively, including: the timing server uses the same timing clock to provide the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with the timing services they need respectively.

4. The intelligent access determination system for an automatic vending machine as claimed in claim 3, characterized in that: The timing server uses the same timing clock to provide the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with the timing services they need, including: the timing server uses the same timing clock to provide the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device with reference clock signals of various changing waveforms of the same timing clock.

5. The intelligent access determination system for an automatic vending machine as claimed in claim 3, characterized in that: The system further comprises: A parallel data bus is connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, respectively, and is used to provide a parallel data communication link between any two devices of the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device.

6. The intelligent access determination system for an automatic vending machine as claimed in claim 5, characterized in that: A parallel data bus is respectively connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, and is used to provide a parallel data communication link between any two of the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, including: providing a 64-bit parallel data communication link between any two of the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device.

7. The intelligent access determination system for an automatic vending machine as claimed in claim 5, characterized in that: A parallel data bus is respectively connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, and is used to provide a parallel data communication link between any two of the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, including: providing a 32-bit parallel data communication link between any two of the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device.

8. The intelligent access determination system for an automatic vending machine as claimed in claim 5, characterized in that: A parallel data bus is connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device respectively, and is used to provide a parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device, including: providing a 16-bit parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device.

9. The intelligent access determination system for an automatic vending machine as claimed in claim 5, characterized in that: A parallel data bus is connected to the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device respectively, and is used to provide a parallel data communication link between the sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device. The sharpening processing device, the real-time enhancement device, the filtering operation device and the admission judgment device are also separated by a distance less than or equal to a set distance threshold.

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