CN113434099A - Intelligent control system of digital printing machine - Google Patents
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- 238000007639 printing Methods 0.000 title claims abstract description 132
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- 238000007645 offset printing Methods 0.000 description 1
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- G06F3/1237—Print job management
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- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
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Abstract
The application provides a digital printing machine intelligence control system, the system includes: the camera is used for acquiring a face picture of a target object; the processing unit is used for verifying the target object according to the face picture and controlling the display screen to display a digital printing interface after the verification is successful; a communication interface for receiving a printing object input by a target object; the microphone is used for acquiring original audio data input by a target object and inputting the original audio data to the processing unit; the processing unit is used for executing voice recognition on the original audio data to obtain text information, determining the printing requirement of the printing object according to the text information, executing printing requirement operation on the printing object to obtain an image to be printed, controlling the display screen to display the image to be printed, and controlling the printing component to print the image to be printed after receiving the confirmation information of the target object. The technical scheme of the application has the advantage of low cost.
Description
Technical Field
The application relates to the technical field of printing and intelligence, concretely relates to digital printing machine intelligence control system.
Background
The digital printing machine is also called as a digital printing machine, breaks through the bottleneck of printing technology, and realizes printing one by one in real sense without plate making and full-color image completion at one time. Compared with the traditional printing system, the printing system has the advantages of extremely low printing cost and high printing quality, is economical and convenient, has extremely less system investment, digital operation mode and limited space occupation, has larger market prospect, is the best supplement to the traditional printing, and is a replacement product of the traditional printing machine.
However, the operation of the existing digital printer is complex, and an operator needs to have certain professional knowledge, so that the use of the digital printer has certain threshold, and the use cost of the digital printer is increased.
Disclosure of Invention
The embodiment of the application provides a digital printing machine intelligence control system, and it passes through voice operation, need not that operating personnel has professional knowledge, reduces digital printing machine's use cost.
In a first aspect, an embodiment of the present application provides an intelligent control system for a digital printing machine, where the system is applied to a digital printing machine, and the system includes:
the camera is used for acquiring a face picture of a target object;
the processing unit is used for verifying the target object according to the face picture and controlling the display screen to display a digital printing interface after the verification is successful;
a communication interface for receiving a printing object input by a target object;
the microphone is used for acquiring original audio data input by a target object and inputting the original audio data to the processing unit;
the processing unit is used for executing voice recognition on the original audio data to obtain text information, determining the printing requirement of the printing object according to the text information, executing printing requirement operation on the printing object to obtain an image to be printed, controlling the display screen to display the image to be printed, and controlling the printing component to print the image to be printed after receiving the confirmation information of the target object.
Alternatively to this, the first and second parts may,
the processing unit is further configured to determine a first identity of the target object after the verification is successful, determine a first operation authority corresponding to the first identity according to a preset mapping relationship between the identity and the operation authority, and control a digital printing interface displayed on the display screen to only display a function under the first operation authority.
Alternatively to this, the first and second parts may,
and the processing unit is specifically used for controlling a digital printing interface displayed by the display screen to display the functions under the first operation authority by bright colors and display the functions under the non-first operation authority by gray colors.
Alternatively to this, the first and second parts may,
the processing unit is specifically configured to perform feature extraction on the face image to obtain N features, compare the N features with N set thresholds respectively to obtain M features larger than the set thresholds and W feature values smaller than the set thresholds, where N = M + W, input the M features as M input neurons into a face recognition algorithm based on a neural network to perform calculation to obtain a calculation result, disconnect calculation links of the W input neurons corresponding to the W feature values, obtain a face recognition result according to the calculation result, determine an identity of the target object according to the result, determine that verification is successful if the identity is not registered, and determine that verification is failed if the identity is not registered.
Alternatively to this, the first and second parts may,
the processing unit is specifically configured to perform word segmentation processing on the text information to obtain a plurality of keywords, query n printing requirements corresponding to the plurality of keywords from a preset printing requirement operation list, and determine that the n printing requirements are the printing requirements of the printing object.
Alternatively to this, the first and second parts may,
the processing unit is further configured to receive an adjustment operation of the target object on the to-be-printed image, adjust the to-be-printed object according to the adjustment operation to obtain an adjusted printed image, and display the adjusted printed image.
In a second aspect, there is provided a method for intelligently controlling a digital printing press, the method comprising:
acquiring a face picture of a target object, verifying the target object according to the face picture, and controlling a display screen to display a digital printing interface after the verification is successful;
receiving a printing object input by a target object, and acquiring original audio data input by the target object; executing voice recognition on the original audio data to obtain text information, determining the printing requirement of the printing object according to the text information, executing printing requirement operation on the printing object to obtain an image to be printed, controlling a display screen to display the image to be printed, and controlling the printing component to print the image to be printed after receiving the confirmation information of the target object
In a third aspect, a computer-readable storage medium is provided, which stores a program for electronic data exchange, wherein the program causes a terminal to execute the method provided in the first aspect.
The embodiment of the application has the following beneficial effects:
the technical scheme provided by the application can be seen that the face picture of the target object is collected; verifying the target object according to the face picture, and controlling a display screen to display a digital printing interface after the verification is successful; receiving a printing object input by a target object; acquiring original audio data input by a target object, and inputting the original audio data into a processing unit; executing voice recognition on the original audio data to obtain text information, determining the printing requirement of the printing object according to the text information, executing printing requirement operation on the printing object to obtain an image to be printed, controlling a display screen to display the image to be printed, and controlling the printing component to print the image to be printed after receiving the confirmation information of the target object. The operation of this application can directly realize the operation through the mode of pronunciation, need not the user and has professional digital printing machine's operation knowledge, has reduced operating personnel's threshold, has reduced digital printing's cost.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent control system of a digital printing machine according to an embodiment of the present application.
Fig. 2 is a schematic flowchart of an intelligent control method for a digital printing machine according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The present application provides a digital printer, which may specifically include: the processor, the memory, the camera, the microphone, the display screen, the communication interface and the printing component may be connected through a bus, or may be connected through other ways.
In practical applications, the printing component may have different structures according to different actual printing objects, for example, an offset printing component, an ink jet printing component, and the like, and the specific structure may be an existing structure, and the application is not limited to the implementation of the specific structure.
Referring to fig. 1, fig. 1 provides an intelligent control system for a digital printing machine, which may be applied to the digital printing machine, and in particular, the intelligent control system for a digital printing machine may specifically include:
the camera is used for acquiring a face picture of a target object;
for example, the target object may be an operator, and certainly in practical applications, the operator may be a registered person or a non-registered person, and different operation levels may be configured for different persons according to different persons, and the different operation levels correspond to different permissions, so that corresponding management of the operator may be implemented. Of course, the management of the operator may also be performed in other manners, for example, after the unregistered person obtains the authorization of the registered person, the operation authority exceeding the unregistered person is obtained, and of course, other manners may also be adopted, and the application does not limit the actual application of the target object and the corresponding operation authority.
The processing unit is used for verifying the target object according to the face picture and controlling the display screen to display a digital printing interface after the verification is successful;
for example, the verifying the target object according to the face picture may specifically include:
the method comprises the steps of extracting features of a face image to obtain N features, comparing the N features with N set thresholds respectively to obtain M features larger than the set thresholds and W feature values smaller than the set thresholds, wherein N = M + W, inputting the M features serving as M input neurons into a face recognition algorithm based on a neural network to perform calculation to obtain a calculation result, disconnecting the calculation links of the W input neurons corresponding to the W feature values, obtaining a face recognition result according to the calculation result, determining the identity of a target object according to the result, determining that verification is successful if the identity is not registered, and determining that verification is failed if the identity is not registered.
Specifically, there may be a plurality of ways of extracting the features, for example, N features are obtained by extracting the features of the face image through a feature face algorithm, and of course, other ways of extracting the features may also be adopted in practical applications, for example, N features are obtained by extracting the features of the face image through a local binary pattern algorithm. The value range of N may be an integer greater than or equal to 2, and specifically, the N features include but are not limited to: any combination of eye features, ear features, facial features, contour features, skin tone features, and the like. The present invention is not limited to the N representations.
The N set thresholds may be the same threshold or different thresholds, and the specific implementation manner may be set by a user or a manufacturer, and the present invention does not limit the specific expression form of the set thresholds. M, W can be integers of 1 or more.
Of course, in practical applications, other verification methods may also be adopted, for example, the verification method is implemented by using an existing face recognition algorithm, and of course, in practical applications, the digital printer may also adopt other verification methods, which include but are not limited to: fingerprint identification mode (including but not limited to: fingerprint identification module under the screen, expose fingerprint identification module), vein identification mode, pupil identification mode, and this application does not limit its concrete implementation.
A communication interface for receiving a printing object input by a target object;
for example, the communication interface may have a plurality of interfaces according to different data transmission manners, and for example, the interfaces may be: a USB interface or a mini USB interface, and certainly, the USB interface can also be a type-C interface or a lightning interface, etc. Of course, in practical applications, the device can also be a bluetooth interface, a wifi interface, an RF interface, etc. The present application is not limited to the specific representation of the communication interface described above.
The printing object can be various according to different printing requirements, such as pictures, characters, combinations of pictures and characters, and the like.
The microphone is used for acquiring original audio data input by a target object and inputting the original audio data to the processing unit;
the processing unit is used for executing voice recognition on the original audio data to obtain text information, determining the printing requirement of the printing object according to the text information, executing printing requirement operation on the printing object to obtain an image to be printed, controlling the display screen to display the image to be printed, and controlling the printing component to print the image to be printed after receiving the confirmation information of the target object.
In an example, the processing unit is further configured to determine a first identity of the target object after the verification is successful, determine a first operation right corresponding to the first identity according to a mapping relationship between a preset identity and an operation right, and control a digital printing interface displayed on the display screen to only display a function under the first operation right.
For example, the function of the digital printing interface displayed on the control display screen, which only displays the first operation right, may specifically include:
and controlling a digital printing interface displayed by the display screen to display the functions under the first operation authority by bright colors and display the functions under the non-first operation authority by gray colors.
For example, the above-mentioned manner of performing speech recognition on the original audio data to obtain the text information may be implemented by a general speech recognition manner, for example, a speech recognition algorithm of science university news, a hundredth speech recognition algorithm, a siri speech recognition algorithm, and the like. Certainly, in practical applications, the above-mentioned manner of performing speech recognition on the original audio data to obtain text information may also adopt other manners to improve the accuracy of speech recognition, for example, an LSTM (Long Short-Term Memory, Long Short-Term Memory network) speech model may be adopted to recognize the original speech data to obtain text information, and specifically may include:
calculating the original voice data according to the following formula to obtain an output result O, and obtaining text information of the original voice data according to the output result, which may specifically include:
forget to remember the door ft=σ (
*Xt+bf) ;
An input gate:
it=σ (
*Xt+bi)
C’t=tanh (
*Xt+bc);
an output gate:
Ot=σ (
*Xt+bO);
ht= Ot* tanh(Ct)。
wherein, Ct=Ct-1*ft+it* C’t；
Wherein h istT in (1) is the time value of input data, t is not less than 2, bfDenotes ftThe offset of the function, the value being constant, and, similarly, bi、bc、boRespectively representing the offsets of the corresponding formulas; ct-1The cell (cell or cell) output value representing t-1 at the previous time,
is the average of the output values at the previous moment, XtIndicating the current time tAnd inputting data. Where σ denotes a sigmod function and tanh denotes a tanh function, which are activation functions. O istIndicating the output result of the output gate.
For example, the determining the printing requirement of the printing object according to the text information may specifically include:
the text information is subjected to word segmentation processing to obtain a plurality of keywords, n printing requirements corresponding to the plurality of keywords are inquired from a preset printing requirement operation list, and the n printing requirements are determined to be the printing requirements of the printing object.
By way of example, the aforementioned printing requirements include, but are not limited to: typesetting, definition, color, font style, font size, background color, background, or any combination thereof.
For example, the processing unit is further configured to receive an adjustment operation of the target object on the image to be printed, adjust the object to be printed according to the adjustment operation to obtain an adjusted print image, and display the adjusted print image.
The present application further provides an intelligent control method for a digital printing machine, which can be applied to the intelligent control system for a digital printing machine shown in fig. 1, specifically, the method shown in fig. 2 includes the following steps:
step S201, collecting a face picture of a target object, verifying the target object according to the face picture, and controlling a display screen to display a digital printing interface after the verification is successful;
for example, the verifying the target object according to the face picture may specifically include:
the method comprises the steps of extracting features of a face image to obtain N features, comparing the N features with N set thresholds respectively to obtain M features larger than the set thresholds and W feature values smaller than the set thresholds, wherein N = M + W, inputting the M features serving as M input neurons into a face recognition algorithm based on a neural network to perform calculation to obtain a calculation result, disconnecting the calculation links of the W input neurons corresponding to the W feature values, obtaining a face recognition result according to the calculation result, determining the identity of a target object according to the result, determining that verification is successful if the identity is not registered, and determining that verification is failed if the identity is not registered.
The above feature extraction method may refer to the description of the above system embodiment, and is not described herein again.
Step S202, receiving a printing object input by a target object, and collecting original audio data input by the target object;
step S203, executing voice recognition on the original audio data to obtain text information, determining the printing requirement of the printing object according to the text information, executing printing requirement operation on the printing object to obtain an image to be printed, controlling a display screen to display the image to be printed, and controlling the printing component to print the image to be printed after receiving the confirmation information of the target object.
For example, the above-mentioned manner of performing speech recognition on the original audio data to obtain the text information may be implemented by a general speech recognition manner, for example, a speech recognition algorithm of science university news, a hundredth speech recognition algorithm, a siri speech recognition algorithm, and the like. Certainly, in practical applications, the above-mentioned manner of performing speech recognition on the original audio data to obtain text information may also adopt other manners to improve the accuracy of speech recognition, for example, an LSTM (Long Short-Term Memory, Long Short-Term Memory network) speech model may be adopted to recognize the original speech data to obtain text information, which may specifically refer to the description of the system embodiment shown in fig. 1, and is not described here again.
For example, the determining the printing requirement of the printing object according to the text information may specifically include:
the text information is subjected to word segmentation processing to obtain a plurality of keywords, n printing requirements corresponding to the plurality of keywords are inquired from a preset printing requirement operation list, and the n printing requirements are determined to be the printing requirements of the printing object.
The above-mentioned printing requirements can be referred to the description of the embodiment of the system shown in fig. 1, and are not described herein again.
For example, the method may further include:
and receiving the adjustment operation of the target object on the image to be printed, adjusting the object to be printed according to the adjustment operation to obtain an adjusted printing image, and displaying the adjusted printing image.
For example, after the verification is successful, the method may further include:
determining a first identity of a target object, determining a first operation authority corresponding to the first identity according to a preset mapping relation between the identity and the operation authority, and controlling a digital printing interface displayed on a display screen to only display functions under the first operation authority.
For example, the function of the digital printing interface displayed on the control display screen, which only displays the first operation right, may specifically include:
and controlling a digital printing interface displayed by the display screen to display the functions under the first operation authority by bright colors and display the functions under the non-first operation authority by gray colors.
The technical scheme provided by the application acquires a face picture of a target object; verifying the target object according to the face picture, and controlling a display screen to display a digital printing interface after the verification is successful; receiving a printing object input by a target object; acquiring original audio data input by a target object, and inputting the original audio data into a processing unit; executing voice recognition on the original audio data to obtain text information, determining the printing requirement of the printing object according to the text information, executing printing requirement operation on the printing object to obtain an image to be printed, controlling a display screen to display the image to be printed, and controlling the printing component to print the image to be printed after receiving the confirmation information of the target object. The operation of this application can directly realize the operation through the mode of pronunciation, need not the user and has professional digital printing machine's operation knowledge, has reduced operating personnel's threshold, has reduced digital printing's cost.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods as recited in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (6)
1. An intelligent control system for a digital printing machine, the system being applied to a digital printing machine, the system comprising:
the camera is used for acquiring a face picture of a target object;
the processing unit is used for verifying the target object according to the face picture and controlling the display screen to display a digital printing interface after the verification is successful;
a communication interface for receiving a printing object input by a target object;
the microphone is used for acquiring original audio data input by a target object and inputting the original audio data to the processing unit;
the processing unit is used for executing voice recognition on the original audio data to obtain text information, determining the printing requirement of the printing object according to the text information, executing printing requirement operation on the printing object to obtain an image to be printed, controlling the display screen to display the image to be printed, and controlling the printing component to print the image to be printed after receiving the confirmation information of the target object.
2. The system of claim 1,
the processing unit is further configured to determine a first identity of the target object after the verification is successful, determine a first operation authority corresponding to the first identity according to a preset mapping relationship between the identity and the operation authority, and control a digital printing interface displayed on the display screen to only display a function under the first operation authority.
3. The system of claim 2,
and the processing unit is specifically used for controlling a digital printing interface displayed by the display screen to display the functions under the first operation authority by bright colors and display the functions under the non-first operation authority by gray colors.
4. The system of claim 2,
the processing unit is specifically configured to perform feature extraction on the face image to obtain N features, compare the N features with N set thresholds respectively to obtain M features larger than the set thresholds and W feature values smaller than the set thresholds, where N = M + W, input the M features as M input neurons into a face recognition algorithm based on a neural network to perform calculation to obtain a calculation result, disconnect calculation links of the W input neurons corresponding to the W feature values, obtain a face recognition result according to the calculation result, determine an identity of the target object according to the result, determine that verification is successful if the identity is not registered, and determine that verification is failed if the identity is not registered.
5. The system of claim 1,
the processing unit is specifically configured to perform word segmentation processing on the text information to obtain a plurality of keywords, query n printing requirements corresponding to the plurality of keywords from a preset printing requirement operation list, and determine that the n printing requirements are the printing requirements of the printing object.
6. The system of claim 5,
the processing unit is further configured to receive an adjustment operation of the target object on the to-be-printed image, adjust the to-be-printed object according to the adjustment operation to obtain an adjusted printed image, and display the adjusted printed image.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105094717A (en) * | 2015-07-15 | 2015-11-25 | 百度在线网络技术（北京）有限公司 | Printing method, printing device and printer based on voice input |
| CN105869635A (en) * | 2016-03-14 | 2016-08-17 | 江苏时间环三维科技有限公司 | Speech recognition method and system |
| CN110347351A (en) * | 2019-06-10 | 2019-10-18 | 平安科技（深圳）有限公司 | File printing method, system, equipment and storage medium |
| CN110633060A (en) * | 2018-06-22 | 2019-12-31 | 北京蜂盒科技有限公司 | Printer and printing method |
| CN112055126A (en) * | 2019-06-07 | 2020-12-08 | 佳能株式会社 | Information processing system, information processing apparatus, and information processing method |
| CN112530431A (en) * | 2020-11-30 | 2021-03-19 | 厦门博芯科技集团有限公司 | Mobile printing device based on voice recognition and voice recognition printing method thereof |
-
2021
- 2021-07-23 CN CN202110833766.8A patent/CN113434099A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105094717A (en) * | 2015-07-15 | 2015-11-25 | 百度在线网络技术（北京）有限公司 | Printing method, printing device and printer based on voice input |
| CN105869635A (en) * | 2016-03-14 | 2016-08-17 | 江苏时间环三维科技有限公司 | Speech recognition method and system |
| CN110633060A (en) * | 2018-06-22 | 2019-12-31 | 北京蜂盒科技有限公司 | Printer and printing method |
| CN112055126A (en) * | 2019-06-07 | 2020-12-08 | 佳能株式会社 | Information processing system, information processing apparatus, and information processing method |
| CN110347351A (en) * | 2019-06-10 | 2019-10-18 | 平安科技（深圳）有限公司 | File printing method, system, equipment and storage medium |
| CN112530431A (en) * | 2020-11-30 | 2021-03-19 | 厦门博芯科技集团有限公司 | Mobile printing device based on voice recognition and voice recognition printing method thereof |
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