CN112907818A - Method for processing advertising marketing voice information - Google Patents

Method for processing advertising marketing voice information Download PDF

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Publication number
CN112907818A
CN112907818A CN202110076714.0A CN202110076714A CN112907818A CN 112907818 A CN112907818 A CN 112907818A CN 202110076714 A CN202110076714 A CN 202110076714A CN 112907818 A CN112907818 A CN 112907818A
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fruit
vending machine
voice
camera
service vending
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CN112907818B (en
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彭磊
周梓荣
陈云
尹波
龚庆祝
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Guangdong Convenisun Technology Co ltd
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Guangdong Convenisun Technology Co ltd
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07FCOIN-FREED OR LIKE APPARATUS
    • G07F9/00Details other than those peculiar to special kinds or types of apparatus
    • G07F9/02Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus
    • G07F9/026Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus for alarm, monitoring and auditing in vending machines or means for indication, e.g. when empty
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to the technical field of voice information processing, in particular to a method for processing advertising marketing voice information, which comprises the following steps: s1: editing voice texts of the fruit and vegetable self-service vending machine in different working states through a terminal APP; s2: identifying the working state of the fruit and vegetable self-service vending machine through the camera, converting the identified working state into a signal and sending the signal to the central processing unit; s3: the central processing unit processes the working state signal of the fruit and vegetable self-service vending machine and automatically selects the voice text of the fruit and vegetable self-service vending machine in the working state; s4: the central processing unit transmits the selected voice text to the voice conversion unit, and the voice data is played through the playing unit; according to the fruit and vegetable self-service vending machine, the user operation is intelligently converted into voice to be played, the intelligent degree is improved, and the trust and the safety of the user on the fruit and vegetable self-service vending machine are improved.

Description

Method for processing advertising marketing voice information
Technical Field
The invention relates to a processing method of voice information, in particular to a processing method of advertising marketing voice information, and belongs to the technical field of voice information processing.
Background
The advertising marketing refers to that enterprises propagate and popularize products through advertisements, direct purchase of consumers is facilitated, product sale is enlarged, and the awareness, reputation and influence activities of the enterprises are improved.
Vegetable and fruit intelligent vending machine is a combination of vegetable intelligent vending machine and fruit intelligent vending machine. The intelligent vending machine is an intelligent vending machine and is common in first-line and second-line cities.
Current fruit vegetables sell machine by oneself is selling the in-process, because nobody sells, and complete customer purchases by oneself, does not possess the voice broadcast function, probably loses the sense of security and trust to the vending machine, and some people use the fruit vegetables for the first time and sell the machine by oneself, do not know the using steps that the machine was sold by oneself to the fruit vegetables completely, lead to purchasing the failure, greatly reduced fruit vegetables sell the advertisement marketing income of machine by oneself, reduce the income that the machine was sold by oneself to the fruit vegetables.
Therefore, there is a need for an improved method for processing advertising marketing voice information to solve the above existing problems.
Disclosure of Invention
The invention aims to provide a method for processing advertising marketing voice information, wherein the fruit and vegetable self-service vending machine plays user operation in a voice mode, so that a client feels that the fruit and vegetable self-service vending machine is intelligent and is worthy of trust to a certain extent; simultaneously, play the effect of guidance nature and suggestive nature, improve the user and sell the trust and the sense of security of machine by oneself to the fruit vegetables, the machine is sold by oneself to voice broadcast convenience of customers operation fruit vegetables, improves the income of machine is sold by oneself to the fruit vegetables. When a user operates the camera, the user mainly recognizes hand movements, the hand movements are generally fast, some abnormal hand movements may be fast, and if the camera does not have a high-speed shooting function or does not have installation conditions, situations of shooting without clarity and recognition inaccuracy may occur when the camera is operated too fast, so that how to improve the legibility of blurred or low-definition pictures is a very critical technical problem.
In order to achieve the purpose, the invention adopts the main technical scheme that:
a processing method of advertising marketing voice information comprises the following steps:
s1: editing voice texts of the fruit and vegetable self-service vending machine in different working states through a terminal APP, and storing the edited voice texts into a storage unit;
s2: identifying the working state of the fruit and vegetable self-service vending machine through the camera, converting the identified working state into a signal and sending the signal to the central processing unit;
s3: the central processing unit processes the working state signals of the fruit and vegetable self-service vending machine, and automatically selects the voice text of the fruit and vegetable self-service vending machine in the working state according to the processing result;
s4: the central processing unit transmits the selected voice text to the voice conversion unit, the voice conversion unit converts the voice text into voice data, and then the voice data is played through the playing unit;
through the technical scheme, the working state of the fruit and vegetable self-service vending machine is identified by the camera, the working state signal of the fruit and vegetable self-service vending machine acquired by the camera is sent to the central processing unit, the central processing unit processes the working state signal of the fruit and vegetable self-service vending machine, the working state of the fruit and vegetable self-service vending machine is compared with the voice text of the fruit and vegetable self-service vending machine in the working state, the central processing unit automatically judges and selects the voice text of the fruit and vegetable self-service vending machine in the working state, then the signal is transmitted to the voice conversion unit according to the selected voice text, the voice conversion unit converts the voice text into voice data, the voice data is played through the playing unit, the user operation is played in a voice mode by the fruit and vegetable self-service vending machine, and the fruit and vegetable self-service vending machine is intelligent to a certain extent, is trustworthy; simultaneously, play the effect of guidance nature and suggestive nature, improve the user and sell the trust and the sense of security of machine by oneself to the fruit vegetables, the machine is sold by oneself to voice broadcast convenience of customers operation fruit vegetables, improves the income of machine is sold by oneself to the fruit vegetables.
Preferably, in S1, the operation status of the fruit and vegetable vending machine includes an open door status, a closed door status, a code scanning payment status, a commodity taking-out status and a commodity returning status, and the voice text corresponding to the operation status of the fruit and vegetable vending machine is "door opened, wish you buy pleasure", "door closed, and expect you next time to be near! "," in the payment code scanning, thank you for you "," the goods are taken out, thank you for you "and" please put the goods back to the original place to avoid deduction ".
Preferably, when the user opens the door of the fruit and vegetable self-service vending machine, the playing unit plays 'the door is opened, and you are celebrated to buy pleasure';
when the user finishes purchasing and closes the door of the fruit and vegetable self-service vending machine, the playing unit plays that the door is closed, and the next time you are expected to be near! ";
when the user scans the code for payment, the playing unit plays 'in payment scanning the code, thank you for being on';
when the user takes out the commodity, the playing unit plays 'the commodity is taken out and thank you for sight';
when the user misplaces the commodities in the cabinet to other layers, the playing unit plays 'please replace the commodities so as to avoid withholding money'.
Preferably, in S2, the camera monitors the working state of the fruit and vegetable self-service vending machine in real time, identifies and judges the working state of the fruit and vegetable self-service vending machine, and transmits the working state of the fruit and vegetable self-service vending machine identified and judged by the camera to the central processor;
in the camera working process, the camera can auto-induction user's distance, and when the user was close to the machine of selling by oneself of fruit vegetables, the camera can discern the judgement to user's action.
Preferably, when the camera monitors that the user touches the door of the fruit and vegetable self-service vending machine, the camera sends the signal to the central processing unit, and when the camera monitors that the user opens the door of the fruit and vegetable self-service vending machine, the central processing unit immediately controls the playing unit to play 'the door is opened, and a user is congratulated for shopping pleasure';
when the camera monitors that the user walks away from the fruit and vegetable self-service vending machine, the camera cannot transmit signals to the central processing unit.
Preferably, in S3, the central processing unit automatically determines the working state of the fruit and vegetable self-service vending machine transmitted by the camera, selects the corresponding voice text in the storage unit according to the working state of the fruit and vegetable self-service vending machine, and sends the voice text corresponding to the working state of the fruit and vegetable self-service vending machine to the voice conversion unit;
the user purchases the in-process of commodity in the self-service vending machine of fruit vegetables, and the camera can real-time supervision user's action.
Preferably, when the user takes the commodity and unpaid the door of the self-service fruit and vegetable vending machine, the camera can automatically monitor the unpaid behavior, then the signal is transmitted to the central processing unit, the central processing unit immediately controls the playing unit to play that the commodity is taken out and the payment is requested, and the camera can judge whether to send out an alarm prompt according to the next action of the user.
Preferably, when the camera monitors that the user leaves the fruit and vegetable self-service vending machine without paying, the camera transmits a signal to the central processing unit, and the central processing unit immediately controls the alarm device to give an alarm;
when the camera monitors that the user finishes paying and leaves the fruit and vegetable self-service vending machine, the camera transmits a signal to the central processing unit, the central processing unit immediately controls the playing unit to play that the door is closed and the next time you are expected to be near! ";
through the technical scheme, when the camera monitors that the user does not pay for the fruit and vegetable self-service vending machine, the signal is transmitted to the central processing unit, the central processing unit immediately controls the alarm device to send an alarm, the phenomenon that the user forgets to pay or flees for an order is avoided, the normal income of the fruit and vegetable self-service vending machine is ensured, and the normal use of the fruit and vegetable self-service vending machine is ensured.
Preferably, the camera is an infrared camera;
the central processing unit is embedded with a CPU, and the central processing unit and the infrared camera are both arranged in the fruit and vegetable self-service vending machine;
the playing unit is a loudspeaker.
Preferably, the first and second liquid crystal materials are,
the camera can auto-induction user's distance, the camera can discern the judgement to user's action, include:
the detection and identification module is arranged in the camera and is used for detecting the optical path time of the infrared rays emitted by the camera reaching a target object and reflecting the infrared rays back to the detection and identification module;
when a target object approaches, the optical path time is reduced, and the set time threshold is reached, the camera identifies the action of the user, records continuous action pictures, and calibrates the characteristic points which accord with the action in the pictures to obtain action key point calibration information;
pre-identifying each picture, and when the hand characteristic points are too fast to act and partial pictures are not clear during shooting and recording, performing high-definition HR (high-resolution) recovery on a low-definition LR picture by adopting a pre-identified picture recovery algorithm: estimating residual quantity by a multi-iteration method, and setting the k model residual quantity as delta Z after the k iteration of the picturek
Figure BDA0002907887530000051
Wherein: delta ZkIs the kth model residual amount; hkRepresenting a component matrix representing the high-definition HR characteristic after the kth iteration;
Figure BDA0002907887530000052
representing a transpose matrix of a component matrix characterizing the low-definition LR features after the kth iteration; pkRepresenting a kth kernel function matrix; qkRepresenting the kth residual matrix; the matrixes are n multiplied by n matrixes;
then, calculating the kth model prediction quantity of the model according to the model residual quantity;
after the kth iteration, the kth model prediction quantity is ZkAnd then:
Figure BDA0002907887530000053
Zkrepresenting the kth model prediction quantity; zk-1Represents the k-1 model prediction quantity;
Figure BDA0002907887530000054
representing the kth model prediction ZkThe weight coefficient of (a);
summarizing the pre-recognition results of the plurality of pictures into pre-recognition information;
performing cross validation on the calibration information and the pre-identification information: if the verification is consistent, identifying the action result as the action result with consistent verification; if the verification is inconsistent, performing composite verification on the point calibration information and the pre-identification information, and outputting a composite verification identification result as a final identification result; after the recognition is completed, the judgment can be carried out according to the recognition result.
The invention has at least the following beneficial effects:
1. the camera identifies the working state of the fruit and vegetable self-service vending machine, and sends the working state signal of the fruit and vegetable self-service vending machine acquired by the camera to the central processing unit, the central processing unit processes the working state signal of the fruit and vegetable self-service vending machine, then the working state of the fruit and vegetable self-service vending machine is compared with the voice text of the fruit and vegetable self-service vending machine in the working state, the central processing unit automatically judges and selects the voice text of the fruit and vegetable self-service vending machine in the working state, then, the signal is transmitted to a voice conversion unit according to the selected voice text, the voice conversion unit converts the voice text into voice data, then voice data are played through the playing unit, the fruit and vegetable self-service vending machine plays user operation in a voice mode, and a client feels that the fruit and vegetable self-service vending machine is intelligent and worthy of trust to a certain extent; meanwhile, the guiding and prompting functions are achieved, and the trust and the safety of the user on the fruit and vegetable self-service vending machine are improved; voice broadcast makes things convenient for the user to operate the machine of selling by oneself of fruit vegetables, improves the income of the machine of selling by oneself of fruit vegetables.
2. When the camera monitors that the user leaves the fruit and vegetable self-service vending machine without paying, a signal is transmitted to the central processing unit, the central processing unit immediately controls the alarm device to give an alarm, the phenomenon that the user forgets to pay or flees for an order is avoided, normal income of the fruit and vegetable self-service vending machine is ensured, and normal use of the fruit and vegetable self-service vending machine is guaranteed;
3. the camera can automatically sense the distance of the user, so that the conditions of intelligent recognition and voice information conversion processing are more complete, and the automation of information processing is further improved; by adopting the algorithm, the shot local blurred image can be clarified, and the definition of action recognition is further optimized; the intelligent recognition accuracy of the user action is enhanced, the voice conversion is more reasonable, and the front-end, back-end and process intellectualization of image shooting, action recognition and voice information processing is further improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a voice message processing method of the present invention;
FIG. 2 is an electrical schematic of the present invention;
FIG. 3 is a schematic view of the working state of the fruit and vegetable self-service vending machine of the present invention and the corresponding voice text;
fig. 4 is a schematic view of the fruit and vegetable self-service vending machine of the present invention.
Detailed Description
Embodiments of the present application will be described in detail with reference to the drawings and examples, so that how to implement technical means to solve technical problems and achieve technical effects of the present application can be fully understood and implemented.
As shown in fig. 1 to fig. 4, the method for processing advertisement marketing voice information provided in this embodiment includes the following steps:
s1: editing voice texts of the fruit and vegetable self-service vending machine in different working states through a terminal APP, and storing the edited voice texts into a storage unit;
in S1, the working states of the fruit and vegetable self-service vending machine include an open-door state, a closed-door state, a code-scanning payment state, a commodity-taking out state, and a commodity-returning state, and the voice texts corresponding to the working states of the fruit and vegetable self-service vending machine are "door opened, wish you to buy pleasure", "door closed, and expect you to be next time! "," in the payment code scanning, thank you for you "," the goods are taken out, thank you for you ", and" please put the goods back in place to avoid withholding money ";
when a user opens the door of the fruit and vegetable self-service vending machine, the playing unit plays 'the door is opened, and you are celebrated to buy pleasure';
when the user finishes purchasing and closes the door of the fruit and vegetable self-service vending machine, the playing unit plays that the door is closed, and the next time you are expected to be near! ";
when the user scans the code for payment, the playing unit plays 'in payment scanning the code, thank you for being on';
when the user takes out the commodity, the playing unit plays 'the commodity is taken out and thank you for sight';
when the user misplaces the commodities in the cabinet to other layers, the playing unit plays 'please replace the commodities to avoid withholding money';
the fruit and vegetable self-service vending machine is a combined name of a vegetable intelligent vending machine and a fruit intelligent vending machine, the intelligent vending machine is an intelligent vending machine, the fruit and vegetable self-service vending machine is common in one-line and two-line cities, advertising marketing benefits are mostly obtained through an external screen when the fruit and vegetable self-service vending machine sells, advertising marketing is a marketing scheme which is realized by marketing planning personnel, thinking, summarizing and executing a complete borrowing force, the advertising marketing is not limited in network marketing, but is more applied to the traditional marketing, the network advertising marketing can be maximally spread to people of interest by means of the network marketing, the network advertising marketing is more accurate, an advertiser is required to put in advertisements to a target client by means of a network platform, creativity is the most important advantage of the eyeball benefit of a consumer, the creative advertisements can be distinguished in mass commodity information by fully utilizing the eyeball benefit of the consumer, catch the eye of the audience.
However, the fruit and vegetable self-service vending machine does not have the voice broadcasting function, so that safety sense and trust of the vending machine can be lost, and some people cannot completely know the using steps of the fruit and vegetable self-service vending machine when using the fruit and vegetable self-service vending machine for the first time, so that purchase failure is caused, the advertising marketing benefit of the fruit and vegetable self-service vending machine is greatly reduced, and the benefit of the fruit and vegetable self-service vending machine is reduced;
the invention identifies the working state of the fruit and vegetable self-service vending machine through the camera, and sends the working state signal of the fruit and vegetable self-service vending machine acquired by the camera to the central processing unit, the central processing unit processes the working state signal of the fruit and vegetable self-service vending machine, then the working state of the fruit and vegetable self-service vending machine is compared with the voice text of the fruit and vegetable self-service vending machine in the working state, the central processing unit automatically judges and selects the voice text of the fruit and vegetable self-service vending machine in the working state, then, the signal is transmitted to a voice conversion unit according to the selected voice text, the voice conversion unit converts the voice text into voice data, then voice data are played through the playing unit, the fruit and vegetable self-service vending machine plays user operation in a voice mode, and a client feels that the fruit and vegetable self-service vending machine is intelligent and worthy of trust to a certain extent; simultaneously, play the effect of guidance nature and suggestive nature, improve the user and sell the trust and the sense of security of machine by oneself to the fruit vegetables, the machine is sold by oneself to voice broadcast convenience of customers operation fruit vegetables, improves the income of machine is sold by oneself to the fruit vegetables.
S2: identifying the working state of the fruit and vegetable self-service vending machine through the camera, converting the identified working state into a signal and sending the signal to the central processing unit;
in S2, the camera monitors the working state of the fruit and vegetable self-service vending machine in real time, identifies and judges the working state of the fruit and vegetable self-service vending machine, and transmits the working state of the fruit and vegetable self-service vending machine identified and judged by the camera to the central processing unit;
in the working process of the camera, the camera can automatically sense the distance of a user, and when the user approaches the fruit and vegetable self-service vending machine, the camera can identify and judge the action of the user;
when the camera monitors that the user touches the door of the fruit and vegetable self-service vending machine, the camera sends the signal to the central processing unit, and when the camera monitors that the user opens the door of the fruit and vegetable self-service vending machine, the central processing unit immediately controls the playing unit to play 'the door is opened, and you are happy to shop';
when the camera monitors that the user walks by the fruit and vegetable self-service vending machine, the camera cannot transmit signals to the central processing unit;
s3: the central processing unit processes the working state signals of the fruit and vegetable self-service vending machine, and automatically selects the voice text of the fruit and vegetable self-service vending machine in the working state according to the processing result;
in S3, the central processing unit also automatically determines the working state of the fruit and vegetable self-service vending machine transmitted by the camera, selects the corresponding voice text in the storage unit according to the working state of the fruit and vegetable self-service vending machine, and sends the voice text corresponding to the working state of the fruit and vegetable self-service vending machine to the voice conversion unit;
in the process that a user purchases commodities in the fruit and vegetable self-service vending machine, the camera can monitor the action of the user in real time;
when a user takes a commodity and unpaid money is not paid to close a door of the fruit and vegetable self-service vending machine, the camera automatically monitors the unpaid behavior, then a signal is transmitted to the central processing unit, the central processing unit immediately controls the playing unit to play that the commodity is taken out and payment is requested, and the camera judges whether to send out an alarm prompt according to the next action of the user;
when the camera monitors that the user leaves the fruit and vegetable self-service vending machine without paying, a signal is transmitted to the central processing unit, and the central processing unit immediately controls the alarm device to give an alarm;
when the camera monitors that the user leaves the fruit and vegetable self-service vending machine without paying, a signal is transmitted to the central processing unit, the central processing unit immediately controls the alarm device to give an alarm, the phenomenon that the user forgets to pay or flees for an order is avoided, normal income of the fruit and vegetable self-service vending machine is ensured, and normal use of the fruit and vegetable self-service vending machine is guaranteed;
when the camera monitors that the user finishes paying and leaves the fruit and vegetable self-service vending machine, the camera transmits a signal to the central processing unit, the central processing unit immediately controls the playing unit to play that the door is closed and the next time you are expected to be near! ";
s4: the central processing unit transmits the selected voice text to the voice conversion unit, the voice conversion unit converts the voice text into voice data, and then the voice data is played through the playing unit;
the camera is an infrared camera;
the central processing unit is embedded with a CPU, and the central processing unit and the infrared camera are both arranged in the fruit and vegetable self-service vending machine;
the playing unit is a loudspeaker.
The camera can auto-induction user's distance, the camera can discern the judgement to user's action, include:
the detection and identification module is arranged in the camera and is used for detecting the optical path time of the infrared rays emitted by the camera reaching a target object and reflecting the infrared rays back to the detection and identification module;
when a target object approaches, the optical path time is reduced, and the set time threshold is reached, the camera identifies the action of the user, records continuous action pictures, and calibrates the characteristic points which accord with the action in the pictures to obtain action key point calibration information;
pre-identifying each picture, and when the hand characteristic points are too fast to act and partial pictures are not clear during shooting and recording, performing high-definition HR (high-resolution) recovery on a low-definition LR picture by adopting a pre-identified picture recovery algorithm: firstly, estimating residual quantity by a multi-iteration method, and setting pictures to passAfter the kth iteration, the kth model residual amount is Δ Zk
Figure BDA0002907887530000101
Wherein: delta ZkIs the kth model residual amount; hkRepresenting a component matrix representing the high-definition HR characteristic after the kth iteration;
Figure BDA0002907887530000102
representing a transpose matrix of a component matrix characterizing the low-definition LR features after the kth iteration; pkRepresenting a kth kernel function matrix; qkRepresenting the kth residual matrix; the matrixes are n multiplied by n matrixes;
then, calculating the kth model prediction quantity of the model according to the model residual quantity;
after the kth iteration, the kth model prediction quantity is ZkAnd then:
Figure BDA0002907887530000111
Zkrepresenting the kth model prediction quantity; zk-1Represents the k-1 model prediction quantity;
Figure BDA0002907887530000112
representing the kth model prediction ZkThe weight coefficient of (a);
summarizing the pre-recognition results of the plurality of pictures into pre-recognition information;
performing cross validation on the calibration information and the pre-identification information: if the verification is consistent, identifying the action result as the action result with consistent verification; if the verification is inconsistent, performing composite verification on the point calibration information and the pre-identification information, and outputting a composite verification identification result as a final identification result; after the recognition is completed, the judgment can be carried out according to the recognition result.
The camera can automatically sense the distance of the user, so that the conditions of intelligent recognition and voice information conversion processing are more complete, and the automation of information processing is further improved; by adopting the algorithm, the shot local blurred image can be clarified, and the definition of action recognition is further optimized; the intelligent recognition accuracy of the user action is enhanced, the voice conversion is more reasonable, and the front-end, back-end and process intellectualization of image shooting, action recognition and voice information processing is further improved.
The camera identifies the working state of the fruit and vegetable self-service vending machine, and sends the working state signal of the fruit and vegetable self-service vending machine acquired by the camera to the central processing unit, the central processing unit processes the working state signal of the fruit and vegetable self-service vending machine, then the working state of the fruit and vegetable self-service vending machine is compared with the voice text of the fruit and vegetable self-service vending machine in the working state, the central processing unit automatically judges and selects the voice text of the fruit and vegetable self-service vending machine in the working state, then, the signal is transmitted to a voice conversion unit according to the selected voice text, the voice conversion unit converts the voice text into voice data, then voice data are played through the playing unit, the fruit and vegetable self-service vending machine plays user operation in a voice mode, and a client feels that the fruit and vegetable self-service vending machine is intelligent and worthy of trust to a certain extent; simultaneously, play the effect of guidance nature and suggestive nature, improve the user and sell the trust and the sense of security of machine by oneself to the fruit vegetables, the machine is sold by oneself to voice broadcast convenience of customers operation fruit vegetables, improves the income of machine is sold by oneself to the fruit vegetables.
As used in the specification and in the claims, certain terms are used to refer to particular components. As one skilled in the art will appreciate, manufacturers may refer to a component by different names. This specification and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. "substantially" means within an acceptable error range, and a person skilled in the art can solve the technical problem within a certain error range to achieve the technical effect basically.
It is noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of additional like elements in the article or system in which the element is included.
The foregoing description shows and describes several preferred embodiments of the invention, but as aforementioned, it is to be understood that the invention is not limited to the forms disclosed herein, but is not to be construed as excluding other embodiments and is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the inventive concept as expressed herein, commensurate with the above teachings, or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A processing method of advertising marketing voice information is characterized by comprising the following steps:
s1: editing voice texts of the fruit and vegetable self-service vending machine in different working states through a terminal APP, and storing the edited voice texts into a storage unit;
s2: identifying the working state of the fruit and vegetable self-service vending machine through the camera, converting the identified working state into a signal and sending the signal to the central processing unit;
s3: the central processing unit processes the working state signals of the fruit and vegetable self-service vending machine, and automatically selects the voice text of the fruit and vegetable self-service vending machine in the working state according to the processing result;
s4: the central processing unit transmits the selected voice text to the voice conversion unit, the voice conversion unit converts the voice text into voice data, and then the voice data is played through the playing unit.
2. The method for processing advertising marketing voice messages as claimed in claim 1, wherein: in S1, the working states of the fruit and vegetable self-service vending machine include a door opening state, a door closing state, a code scanning payment state, a commodity taking-out state and a commodity putting-back state; the voice text information corresponding to the working state of the fruit and vegetable self-service vending machine comprises door opening voice information, door closing voice information, code scanning payment voice information, commodity taking-out voice information and commodity returning voice information.
3. The method of claim 2, wherein the method comprises: when a user opens a door of the fruit and vegetable self-service vending machine, the playing unit plays the corresponding voice text as door opening voice information;
when the user finishes purchasing and closes the door of the fruit and vegetable self-service vending machine, the playing unit plays the corresponding voice text as door closing voice information;
when a user pays by scanning the code, the playing unit plays the corresponding voice text as the voice information of paying by scanning the code;
when the user takes out the commodity, the playing unit plays the corresponding voice text as the commodity taking-out voice information;
when the user misplaces the commodities in the cabinet to other layers, the playing unit plays the corresponding voice text as the commodity and puts back the voice information.
4. The method for processing advertising marketing voice messages as claimed in claim 1, wherein: in S2, the camera monitors the working state of the fruit and vegetable self-service vending machine in real time, identifies and judges the working state of the fruit and vegetable self-service vending machine, and transmits the working state of the fruit and vegetable self-service vending machine identified and judged by the camera to the central processing unit;
in the camera working process, the camera can auto-induction user's distance, and when the user was close to the machine of selling by oneself of fruit vegetables, the camera can discern the judgement to user's action.
5. The method of claim 4, wherein the method comprises: when the camera monitors that a user touches the door of the fruit and vegetable self-service vending machine, the camera sends the signal to the central processing unit, and when the camera monitors that the user opens the door of the fruit and vegetable self-service vending machine, the central processing unit immediately controls the playing unit to play the corresponding voice text as door opening voice information;
when the camera monitors that the user walks away from the fruit and vegetable self-service vending machine, the camera cannot transmit signals to the central processing unit.
6. The method for processing advertising marketing voice messages as claimed in claim 1, wherein: in S3, the central processing unit automatically judges the working state of the fruit and vegetable self-service vending machine transmitted by the camera, then the central processing unit selects the corresponding voice text in the storage unit according to the working state of the fruit and vegetable self-service vending machine, and then the central processing unit sends the voice text corresponding to the working state of the fruit and vegetable self-service vending machine to the voice conversion unit;
the user purchases the in-process of commodity in the self-service vending machine of fruit vegetables, and the camera can real-time supervision user's action.
7. The method of claim 6, wherein the method comprises: when a user takes commodities and unpaid fruits and vegetables self-service vending machine doors are closed, the camera can automatically monitor unpaid behaviors, then signals are transmitted to the central processing unit, the central processing unit immediately controls the playing unit to play corresponding voice texts for scanning code payment voice information, and the camera can judge whether to send alarm reminding according to the next actions of the user.
8. The method of claim 7, wherein the method comprises: when the camera monitors that the user leaves the fruit and vegetable self-service vending machine without paying, a signal is transmitted to the central processing unit, and the central processing unit immediately controls the alarm device to give an alarm;
when the camera monitors that the user finishes paying the money and leaves the fruit and vegetable self-service vending machine, the signal is transmitted to the central processing unit, and the central processing unit immediately controls the playing unit to play the corresponding voice text as the door closing voice information.
9. The method for processing advertising marketing voice messages as claimed in claim 1, wherein: the camera is an infrared camera;
the central processing unit is embedded with a CPU, and the central processing unit and the infrared camera are both arranged in the fruit and vegetable self-service vending machine;
the playing unit is a loudspeaker.
10. The method of claim 4, wherein the method comprises: the camera can auto-induction user's distance, the camera can discern the judgement to user's action, include:
the detection and identification module is arranged in the camera and is used for detecting the optical path time of the infrared rays emitted by the camera reaching a target object and reflecting the infrared rays back to the detection and identification module;
when a target object approaches, the optical path time is reduced, and the set time threshold is reached, the camera identifies the action of the user, records continuous action pictures, and calibrates the characteristic points which accord with the action in the pictures to obtain action key point calibration information;
pre-identifying each picture, and when the hand characteristic points are too fast to act and partial pictures are not clear during shooting and recording, performing high-definition HR (high-resolution) recovery on a low-definition LR picture by adopting a pre-identified picture recovery algorithm: estimating residual quantity by a multi-iteration method, and setting the k model residual quantity as delta Z after the k iteration of the picturek
Figure FDA0002907887520000031
Wherein: deltaZkIs the kth model residual amount; hkRepresenting a component matrix representing the high-definition HR characteristic after the kth iteration;
Figure FDA0002907887520000032
representing a transpose matrix of a component matrix characterizing the low-definition LR features after the kth iteration; pkRepresenting a kth kernel function matrix; qkRepresenting the kth residual matrix; the matrixes are n multiplied by n matrixes;
then, calculating the kth model prediction quantity of the model according to the model residual quantity;
after the kth iteration, the kth model prediction quantity is ZkAnd then:
Figure FDA0002907887520000041
Zkrepresenting the kth model prediction quantity; zk-1Represents the k-1 model prediction quantity;
Figure FDA0002907887520000042
representing the kth model prediction ZkThe weight coefficient of (a);
summarizing the pre-recognition results of the plurality of pictures into pre-recognition information;
performing cross validation on the calibration information and the pre-identification information: if the verification is consistent, identifying the action result as the action result with consistent verification; if the verification is inconsistent, performing composite verification on the point calibration information and the pre-identification information, and outputting a composite verification identification result as a final identification result; after the recognition is completed, the judgment can be carried out according to the recognition result.
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