Scanning and printing system based on artificial intelligence

Abstract

The invention belongs to the technical field of data processing, and particularly relates to a scanning and printing system based on artificial intelligence, which comprises scanning and printing equipment used for printing files and scanning paper; and the artificial intelligence module learns and manages each process of the scanning and printing equipment, and sound monitoring is added in the scanning and printing equipment. The paper pushing module is matched with the artificial intelligence module and the vision module, each multi-page file is subjected to hierarchical processing, for example, the first group of files move leftwards by 10 mm through the paper pushing module, the second group of files move leftwards by 5 mm through the paper pushing module, a segment difference of 5 mm exists between the two groups of files, the two groups of files are separated conveniently, and the efficiency of file separation is improved. The visual module judges that the printing effect of single paper in the same file is poor, the single paper can be directly pushed away from the file stacking range through the paper pushing module, the page is reprinted through the artificial intelligence module, and the problem that multiple files need to be manually classified after being sequentially printed and stacked is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a scanning and printing system based on artificial intelligence. Background Art

[0002] The application of artificial intelligence in printing systems involves many aspects. This application is mainly used to use machine learning models to evaluate images of printed components, identify defects or design deviations, and perform early intervention to prevent defects from occurring. It also uses artificial intelligence to analyze the operating data of equipment, perform equipment maintenance in advance, reduce unplanned downtime, and ensure the efficiency of the production process. Relying on artificial intelligence to complete data processing further improves the accuracy and stability of the scanning and printing system.

[0003] Scanning and printing equipment is needed in daily office work. In order to save costs, a large scanning and printing equipment is often used by multiple departments or even multiple companies. Such scanning and printing equipment may encounter the following problems during daily use: The printed documents were not removed in time, and multiple documents were piled up and difficult to distinguish; No one is on site to check during printing, and the poor printing results cause the entire print file to be discarded, wasting resources; When printing multiple pages, the printing effect of a single sheet of paper is poor, and manual inspection is required to print the page separately, which wastes labor; When problems occur in the scanning and printing equipment that affect the printing effect, no one discovers and stops it in time, which not only wastes a lot of paper, but also aggravates the problems of the scanning and printing equipment.

[0004] Therefore, it is necessary to provide a scanning and printing system based on artificial intelligence, which is conducive to solving the situation where multiple files need to be manually sorted after being printed and stacked in sequence, and eliminates the need for manual inspection of printing effects. It is conducive to correcting a single defective printed paper for multiple pages of documents, ensuring the printing quality of multiple pages of documents, and facilitating self-regulation of printing equipment. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a scanning and printing system based on artificial intelligence to solve the above technical problems.

[0006] The present invention provides an artificial intelligence-based scanning and printing system, wherein the scanning and printing device is used for printing documents and scanning paper; Artificial Intelligence Module: Learn and manage the various processes of scanning and printing equipment, including adding sound monitoring to scanning and printing equipment and vibration monitoring of mobile printing paper; Add a visual module above the paper outlet of the scanning and printing device: Visualize the paper printed by the scanning and printing device, and monitor the visual image by the artificial intelligence module; Add a paper pusher module on the paper outlet side of the scanning and printing device: move a single printed paper in the scanning and printing device; or move the same group of papers of the same file as a whole; The artificial intelligence module detects the printed files completed by the scanning and printing equipment, among which the printing effect is , the formula variables are: sound data , the paper vibration frequency is , the ink depth is , the text is centered ; is the weight coefficient, which is used to adjust the influence of each variable on the printing effect; It is a nonlinear index, which is used to simulate the nonlinear influence of each variable on the printing effect; is a constant term that can represent basic print quality or systematic error.

[0007] Preferably, a sound detection sensor is added to the scanning and printing device to detect its working sound, and a ball-type vibration sensor is installed on the moving path of the paper during printing to detect the movement vibration of the paper.

[0008] Preferably, if the mechanical sound of the scanning and printing device exceeds a threshold during printing, the visual module starts to visualize the printed paper, and analyzes the file in the image through artificial intelligence, including the depth of the ink and the printing position, to judge the printing effect.

[0009] Preferably, if the paper vibration exceeds a threshold during the printing process of the scanning and printing device, the visual module starts to visualize the printed paper, and analyzes the file in the image through artificial intelligence, including the depth of the ink and the printing position, to judge the printing effect.

[0010] Preferably, if any printed paper is determined to be a failure by the artificial intelligence module, the paper is pushed to the other side by the paper pushing module to make it out of the predetermined retained paper range, and the content of the paper is printed again by the artificial intelligence module.

[0011] Preferably, if two groups of files are printed continuously, after the first group of files is completed, the paper pushing module is started by the artificial intelligence module to shift the first file as a whole.

[0012] Preferably, if the vibration of the ball-type vibration sensor to the paper movement exceeds a threshold value and printing has not yet started, the scanning and printing device is controlled by the artificial intelligence module to directly spit out the paper, and the paper pushing module is activated by the artificial intelligence module to push the paper to the other side so that it is out of the predetermined range of retained paper; Preferably, the scanning and printing device has a built-in ink cartridge, the ink cartridge has a built-in pigment detection module for detecting the remaining amount of printing pigment, the pigment detection module signal is uploaded to the artificial intelligence module, the scanning and printing device has a built-in paper box, a paper detection module for detecting the amount of paper is provided at the bottom of the paper box, and the signal of the paper detection module is uploaded to the artificial intelligence module.

[0013] Preferably, after the file is uploaded to the scanning and printing device, the artificial intelligence module determines whether the file can be printed based on the remaining pigment reflected by the pigment detection module and the number of papers reflected by the paper detection module; if yes, the file is printed; if not, it reminds the file upload end to load the ink cartridge or add paper.

[0014] Compared with the related art, the scanning and printing system based on artificial intelligence provided by the present invention has the following beneficial effects: The present invention processes each multi-page file in layers through the paper pushing module in conjunction with the artificial intelligence module and the vision module. For example, the first group of files is moved 10 mm to the left by the paper pushing module, and the second group of files is moved 5 mm to the left by the paper pushing module. Then, there is a step difference of 5 mm between the two groups of files, which is convenient for separating the two groups of files. If the visual module determines that the printing effect of a single paper in the same file is poor, it can be directly pushed away from the file stacking range by the paper pushing module, and the page can be reprinted by the artificial intelligence module, which is conducive to solving the situation where multiple files need to be manually sorted after being printed and stacked in sequence.

[0015] The present invention monitors scanning and printing through a visual module and an artificial intelligence module, completes the supervision of paper transmission and ink cartridge pigments in the scanning and printing device, and completes the judgment of the printing quality based on the two sets of data combined with the graphics of the visual module, which is beneficial to ensuring the printing quality of multiple pages of documents and is beneficial to self-supervision of the printing device. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of the composition flow of a scanning and printing system based on artificial intelligence provided by the present invention; Figure 2 Schematic diagrams of the flow charts of specific embodiments 2 to 5 of a scanning and printing system based on artificial intelligence provided by the present invention; Figure 3 This is a schematic diagram of a specific embodiment 6 of an artificial intelligence-based scanning and printing system provided by the present invention. DETAILED DESCRIPTION

[0017] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Since fast and efficient scanning and printing equipment is relatively expensive and requires a certain amount of floor space, multiple departments often share one device, and even multiple companies in some office buildings share the same device. This may result in the printing personnel not being in front of the equipment, which may lead to the problems mentioned in the background technology. If multiple departments print back and forth or the printed documents are not taken away in time, the documents may be mixed up and taken away.

[0019] Embodiment 1, a scanning and printing system based on artificial intelligence, a scanning and printing device: used for printing documents and scanning papers; Artificial Intelligence Module: Learn and manage the various processes of scanning and printing equipment, including adding sound monitoring to scanning and printing equipment and vibration monitoring of mobile printing paper; A sound detection sensor is added to the scanning and printing device to detect its working sound, and a ball-type vibration sensor is installed on the moving path of the paper during printing to detect the movement vibration of the paper.

[0020] Add a visual module above the paper outlet of the scanning and printing device: Visualize the paper printed by the scanning and printing device, and monitor the visual image by the artificial intelligence module; A paper pushing module is added to the paper outlet side of the scanning and printing device to move a single printed paper in the scanning and printing device; or to move the same group of papers of the same file as a whole.

[0021] The artificial intelligence module detects the printed files completed by the scanning and printing equipment, among which the printing effect is , the formula variables are: sound data , the paper vibration frequency is , the ink depth is , the text is centered ; is the weight coefficient, which is used to adjust the influence of each variable on the printing effect; It is a nonlinear index, which is used to simulate the nonlinear influence of each variable on the printing effect; is a constant term that can represent basic print quality or systematic error.

[0022] Among them, in order to directly optimize the artificial intelligence calculation formula of the printer, a more comprehensive and refined mathematical model can be adopted, taking into account the main effect, interaction effect and higher-order effect of the variables. The following formula can be proposed: : Same as the previous formula, representing the nonlinear main effects of each variable.

[0023] arrive : The quadratic term of each variable, used to simulate the higher-order effects of the variable itself.

[0024] arrive : Interaction term, used to simulate the interaction between different variables.

[0025] arrive : Three-factor interaction term, used to simulate the complex effects of three variables acting together.

[0026] c: Constant term, representing basic printing quality or other fixed influencing factors.

[0027] These weights and indexes need to be determined through data training. The operating data of multiple scans of the printing device can be used to form a learning model, or polynomial regression, support vector machine regression or neural network can be used to fit the data in experiments or actual use to find the optimal parameter values.

[0028] This optimized formula provides more flexibility and accuracy, and can better simulate the combined impact of various factors on printing results in actual situations, especially taking into account the interactions and higher-order effects between variables, as well as more complex multivariate interactions.

[0029] The combination of artificial intelligence technology and printing systems is increasingly seen as a key way to achieve digital transformation and enhance service capabilities. By integrating advanced sensors, automatic control systems and artificial intelligence technology, intelligent printing equipment can realize the automation, intelligence and digitization of the printing process, which can not only improve production efficiency, but also reduce manual intervention while ensuring printing quality, and achieve high-speed continuous printing and personalized customized printing.

[0030] Using algorithms to distinguish the depth of ink in an image can be achieved through the image of the visual module and the learning algorithm of the artificial intelligence module.

[0031] To distinguish the depth of ink in an image, you first need to convert the image into digital information that can be recognized and processed by a computer. In this process, you can use image segmentation and feature extraction technology to identify the ink area in the image. Then, the algorithm of the artificial intelligence module will classify the depth of these areas.

[0032] Image segmentation is the process of subdividing an image into multiple components or pixel sets, with the goal of simplifying the image representation and making it easier to analyze. For the problem of ink depth classification, semantic segmentation technology can be used, which is a pixel-by-pixel classification method that can classify each pixel into different categories. In the ink classification problem, different shades of ink can be set as different categories, and the ink area can be classified pixel by pixel using a trained semantic segmentation model.

[0033] An effective image segmentation algorithm is an encoder-decoder model, such as U-Net. This model consists of an encoder (convolutional layer) and a decoder (deconvolutional layer). The encoder is used to extract image features, and the decoder is used to generate segmentation maps from these features. When processing the depth of ink, the encoder can capture the different depth features of the ink area, and the decoder converts these features into corresponding depth classification results.

[0034] In order to train such a model, a large amount of labeled data is needed, that is, pictures with manually labeled ink depth. This data will be used to train a convolutional neural network (CNN), such as the U-Net mentioned above. CNN can automatically recognize and classify new ink pictures by learning the ink features in the labeled pictures.

[0035] Using algorithms to determine whether the text on paper is skewed or offset can also be achieved through the image of the visual module and the learning algorithm of the artificial intelligence module. Specific methods include the following: Skew Detection Based on Hough Transform Principle: Hough transform is used to detect straight lines in the image, thereby determining the direction of the text line. This method is suitable for document images containing obvious straight lines (such as the edges of text lines).

[0036] Advantages: The algorithm is relatively simple and does not require complex computing resources.

[0037] Disadvantages: Poor effect when text lines are not clear or straight line features are not obvious.

[0038] Skew angle detection based on minimum bounding rectangle Principle: Use the minAreaRect function in OpenCV (open source computer vision library) (which is used to find the minimum enclosing rectangle containing a given set of points in a two-dimensional image. This function is a function in the OpenCV library) to find the minimum enclosing rectangle covering all text areas and calculate the rotation angle of the rectangle to get the skew angle of the text.

[0039] Automatic correction based on deep learning Principle: Use deep learning models, such as convolutional neural networks (CNNs), to train a model that can automatically identify and correct text skew. This model can learn text features of different skew levels and types from a large amount of annotated data.

[0040] Image Rectification Based on Affine Transformation Principle: Rotate and translate the image through affine transformation to correct the skew and offset of the text.

[0041] In summary, there are many ways to use algorithms to determine whether the text on paper is skewed or offset. In practical applications, the most suitable method can be selected according to specific needs and conditions.

[0042] Embodiment 2: This embodiment mainly solves the problem of printing errors in a certain page during multi-page printing, such as overlapping printing, unclear printing and skewed overall layout, etc. This situation is often accompanied by unsmooth ink discharge from the ink cartridge and unsmooth paper feeding.

[0043] The file upload end uploads the file to the scanning and printing end through the local area network. If the mechanical sound of the scanning and printing device exceeds the threshold during the printing process, the visual module starts to visualize the printed paper, and analyzes the file in the picture through artificial intelligence, including the depth of ink and printing position, to judge the printing effect. The artificial intelligence module combines the algorithm to judge the printing effect. If any printed paper is judged as a failure by the artificial intelligence module, the paper will be pushed to the other side by the paper pushing module to make it out of the predetermined retained paper range, and the content of the paper will be printed again by the artificial intelligence module.

[0044] During the normal operation of the scanning and printing equipment, the sound waves it works in are often within a fluctuation range. The sound sensor mainly identifies the sound frequency by detecting the vibration of the sound waves. When the sound waves propagate in the air, they will cause changes in air pressure. These changes are captured by the sound sensor and converted into electrical signals, which are then processed through corresponding circuits and algorithms to extract frequency information.

[0045] The difference between the third embodiment and the second embodiment is that if the scanning and printing device does not feed the paper smoothly, it means that the paper feeding structure is abnormal, and correspondingly, the vibration of the paper will also be abnormal.

[0046] If the paper vibration exceeds the threshold during the printing process of the scanning and printing device, the vision module will start to visualize the printed paper, and analyze the file in the picture through artificial intelligence, including the depth of ink and printing position, to judge the printing effect. The artificial intelligence module will judge the printing effect in combination with the algorithm. If any printed paper is judged as failed by the artificial intelligence module, the paper will be pushed to the other side by the paper pushing module to make it out of the predetermined retained paper range, and the content of the paper will be printed again by the artificial intelligence module.

[0047] In another abnormal vibration situation, if the vibration of the paper movement by the ball-type vibration sensor exceeds the threshold and printing has not yet started, the scanning and printing device is controlled by the artificial intelligence module to directly spit out the paper, and the paper pushing module is started by the artificial intelligence module to push the paper to the other side, so that it is out of the predetermined retained paper range.

[0048] The working principle of the ball vibration sensor is mainly based on the movement of a metal ball or cylindrical metal conductor inside the sensor, thereby changing the on or off state of the circuit; when the device is vibrated or angularly deflected, the metal ball or metal conductor inside the sensor will collide with each other, which causes the external lead-out electrode to change its state of closing or opening. After the circuit detects this change in the switching value, it can control the circuit to respond accordingly.

[0049] Embodiment 4: In Embodiment 2 and Embodiment 3, how to deal with a single sheet of paper with poor printing effect: If any printed paper is judged as failed by the artificial intelligence module, the paper will be pushed to the other side by the paper pushing module to make it out of the predetermined retained paper range, and the content of the paper will be printed again by the artificial intelligence module.

[0050] Embodiment 5: Multiple departments print different documents one after another, or the documents are not taken away in time, and multiple documents are overlapped.

[0051] If two groups of files are printed continuously, after the first group of files is completed, the paper pushing module is activated through the artificial intelligence module to shift the first file as a whole and process each multi-page file in layers; For example, the first group of files is moved 10 mm to the left by the paper pushing module, while the second group of files is moved 5 mm to the left by the paper pushing module. Then, there is a 5 mm step difference between the two groups of files, which facilitates separation of the two groups of files. In this way, the boundary position of the two groups of files can be quickly distinguished.

[0052] Embodiment 6: Currently, all scanning and printing devices on the market are equipped with ink cartridges, and the ink cartridges are equipped with a pigment detection module for detecting the remaining amount of printing pigments. The pigment detection module signal is uploaded to the artificial intelligence module; A paper box is built into the scanning and printing device. A paper detection module for detecting the amount of paper is provided at the bottom of the paper box. The signal of the paper detection module is uploaded to the artificial intelligence module.

[0053] After the file is uploaded to the scanning and printing device, the artificial intelligence module determines whether the file can be printed based on the remaining amount of pigment reflected by the pigment detection module and the number of papers reflected by the paper detection module; If yes, the file will be printed; if no, the file upload end will be reminded to load the ink cartridge or add paper.

[0054] The artificial intelligence module can transmit the information of insufficient paper or insufficient pigment back to the file upload end via the local area network, or activate the alarm of the scanning and printing device to issue a warning.

[0055] Since the scanning and printing equipment has its own scanning function, the construction of the visual module does not add additional costs. Its essence requires artificial intelligence to be trained through multiple sets of data to achieve separate printing effects.

[0056] A line scan camera, encoder, light source and lens combination can be used; Scanning cameras build the final two-dimensional image by scanning line by line, which is suitable for scanning fast-moving objects or large objects.

[0057] Use encoders to control the relative motion between the camera and the object to ensure the stability and continuity of image acquisition.

[0058] Selecting the right light source and lens is critical to improving the quality of scanned images, especially in high-speed acquisition and high-resolution imaging.

[0059] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An artificial intelligence-based scanning and printing system, characterized by: Scanning and printing equipment: used for printing documents and scanning papers; Artificial Intelligence Module: This module learns and manages the various processes of scanning and printing equipment, including adding sound monitoring to scanning and printing equipment and vibration monitoring of mobile printing paper; Add a visual module above the paper outlet of the scanning and printing device: the paper printed by the scanning and printing device is visualized, and the artificial intelligence module monitors the visual image; Add a paper pusher module on the paper outlet side of the scanning and printing device: to move a single printed paper in the scanning and printing device; or to move the same set of papers of the same file as a whole; The artificial intelligence module detects the printed files completed by the scanning and printing equipment, among which the printing effect is , the formula variables are: sound data , the paper vibration frequency is , the ink depth is , the text is centered ; is the weight coefficient, which is used to adjust the influence of each variable on the printing effect; It is a nonlinear index, which is used to simulate the nonlinear influence of each variable on the printing effect; is a constant term that can represent basic print quality or systematic error.

2. The artificial intelligence-based scanning and printing system according to claim 1, characterized in that: A sound detection sensor is added to the scanning and printing device to detect its working sound, and a ball-type vibration sensor is installed on the moving path of the paper during printing to detect the vibration of the paper movement.

3. The artificial intelligence-based scanning and printing system according to claim 1, characterized in that: If the mechanical sound of the scanning and printing device exceeds the threshold during the printing process, the visual module will start to visually image the printed paper, and use artificial intelligence to analyze the file in the image, including the depth of the ink and the printing position, to judge the printing effect.

4. The artificial intelligence-based scanning and printing system according to claim 1, characterized in that: If the paper vibration exceeds the threshold during the printing process of the scanning and printing device, the vision module will start to visually image the printed paper, and use artificial intelligence to analyze the file in the image, including the depth of the ink and the printing position, to judge the printing effect.

5. The artificial intelligence-based scanning and printing system according to claim 3 or 4, characterized in that: If any printed paper is judged as a failure by the artificial intelligence module, the paper will be pushed to the other side by the paper pushing module to make it out of the predetermined retained paper range, and the artificial intelligence module will print the content of the paper again.

6. The artificial intelligence-based scanning and printing system according to claim 1, characterized in that: If two groups of files are printed continuously, after the first group of files is completed, the paper pushing module is activated by the artificial intelligence module to shift the first file as a whole.

7. The artificial intelligence-based scanning and printing system according to claim 2, characterized in that: If the vibration of the paper movement by the ball-type vibration sensor exceeds the threshold and printing has not yet started, the scanning and printing device is controlled by the artificial intelligence module to directly spit out the paper, and the paper pushing module is activated by the artificial intelligence module to push the paper to the other side, so that it is out of the predetermined retained paper range.

8. The artificial intelligence-based scanning and printing system according to claim 1, characterized in that: The scanning and printing device has a built-in ink cartridge, which has a built-in pigment detection module for detecting the remaining amount of printing pigment. The pigment detection module signal is uploaded to the artificial intelligence module. The scanning and printing device has a built-in paper box, and a paper detection module for detecting the amount of paper is provided at the bottom of the paper box. The signal of the paper detection module is uploaded to the artificial intelligence module.

9. The artificial intelligence-based scanning and printing system according to claim 8, characterized in that: After the file is uploaded to the scanning and printing device, the artificial intelligence module determines whether the file can be printed based on the remaining pigment reflected by the pigment detection module and the number of papers reflected by the paper detection module; if yes, the file will be printed; if not, it will remind the file upload end to load the ink cartridge or add paper.

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