CN113326849A - Visual data acquisition method and system - Google Patents
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- CN113326849A CN113326849A CN202110821615.0A CN202110821615A CN113326849A CN 113326849 A CN113326849 A CN 113326849A CN 202110821615 A CN202110821615 A CN 202110821615A CN 113326849 A CN113326849 A CN 113326849A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
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Abstract
The invention discloses a visual data acquisition method and a system, wherein the system comprises an image acquisition and analysis module, an acquisition instruction graphical generation module and a data storage and service module, and the image acquisition and analysis module comprises an image acquisition module, an AI identification module, a KVM (keyboard video mouse) module, an instruction module and a communication storage module. In the environments of big data visualization, digital signage, intelligent manufacturing integration and the like, the invention can acquire, identify and statistically analyze the information of each platform in real time without docking with the target platform running on each computer, thereby reducing the docking difficulty and workload and improving the docking speed.
Description
Technical Field
The invention relates to the technical field of electronic information, in particular to a visual data acquisition method and system.
Background
At present, information acquisition and identification aiming at a computer are mainly realized through manual acquisition and identification analysis, and when a large amount of information data are faced, the manual acquisition and identification analysis efficiency is low, the butt joint difficulty is high, and the workload is large.
Therefore, the inventor provides a visual data acquisition method and system by virtue of experience and practice of related industries for many years, so as to overcome the defects in the prior art.
Disclosure of Invention
The invention provides a visual data acquisition method and a visual data acquisition system, which aim to solve the problems.
The embodiment of the invention achieves the aim through the following technical scheme.
One embodiment of the invention provides a visual data acquisition method, which can acquire, identify and statistically analyze information of each platform in real time without docking with a target platform running on each computer, thereby reducing docking difficulty and workload and improving docking speed.
The method of the present invention comprises the following steps.
And S1, connecting a plurality of computers to one or more image acquisition and analysis modules.
S2, the acquisition instruction imaging generation module sets one or more target areas of the video picture of each computer, then a setting instruction is formed, the setting instruction is formed into an instruction sequence, and then the instruction sequence is downloaded to the corresponding KVM module through the instruction module.
And S3, distributing the instruction sequence to the KVM module, sending the instruction sequence to a target computer through the KVM module so as to control the target computer by keyboard and mouse, and sending an image interception instruction to an image acquisition module.
And S4, the image acquisition module acquires the image of the target area of the set area according to the requirement of the image interception instruction and then transmits the acquired image to the AI identification module.
And S5, after the AI identification module identifies the information in the target area, sending the information to a communication storage module.
And S6, the communication storage module uploads the identified information to a data storage and service module for providing data service to the outside.
In a preferred embodiment of the present invention, the identified information may be any one or more of characters, numbers and pictures.
In a preferred embodiment of the present invention, the picture may include data representing length and area, such as a pie chart and a sector chart.
In a preferred embodiment of the present invention, the information collection frequency of the image collection and analysis module is variable.
Another embodiment of the present invention provides a visual data acquisition system, which can acquire, identify, and statistically analyze information of each platform in real time without docking with a target platform running on each computer, thereby reducing docking difficulty and workload and increasing docking speed.
The system comprises an image acquisition and analysis module, an acquisition instruction graphical generation module and a data storage and service module, wherein the image acquisition and analysis module comprises an image acquisition module, an AI identification module, a KVM (keyboard video mouse) module, an instruction module and a communication storage module.
In a preferred embodiment of the present invention, the collection instruction graphics generation module sets one or more target areas of a video screen of each computer, then forms a setting instruction, forms the setting instruction into an instruction sequence, and then downloads the instruction sequence to the corresponding KVM module through the instruction module.
And distributing the instruction sequence to the KVM module, sending the instruction sequence to a target computer through the KVM module so as to control the keyboard and mouse of the target computer, and sending an image interception instruction to the image acquisition module.
And the image acquisition module acquires the image of the target area of the set area according to the requirement of the image interception instruction and then transmits the acquired image to the AI identification module.
And after identifying the information in the target area, the AI identification module sends the information to the communication storage module.
And the communication storage module uploads the identified information to the data storage and service module for providing data service to the outside.
In the invention, in the environments of big data visualization, digital signage, intelligent manufacturing integration and the like, the information of each platform can be acquired, identified, statistically analyzed and collected in real time without being docked with the target platform running on each computer, so that the docking difficulty and workload are reduced and the docking speed is increased.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, 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 flowchart of a visualized data acquisition method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a visualized data acquisition system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention.
The first embodiment.
Fig. 1 is a flow chart of a visualized data acquisition method according to an embodiment of the present invention, which includes the following steps.
And S1, connecting a plurality of computers to one or more image acquisition and analysis modules.
Each computer can be connected with the image acquisition and analysis module by inputting respective IP addresses.
S2, the acquisition instruction imaging generation module sets one or more target areas of the video picture of each computer, then a setting instruction is formed, the setting instruction is formed into an instruction sequence, and then the instruction sequence is downloaded to the corresponding KVM module through the instruction module.
In this embodiment, if there are multiple areas on the video screen that need to collect information, multiple command sequences and multiple target area settings are required to form a KVM module command sequence.
In this embodiment, the collection instruction graphical generation module first sends a cursor movement instruction to the KVM module to deal with the situation that the information can be collected and identified only by stopping the mouse.
In this embodiment, since a plurality of data are displayed on the video screen of one computer, one or a plurality of target areas are sequentially set.
In this embodiment, the instruction sequence includes a mouse action, a keyboard input action, an image capturing area, a mouse dwell time, and the like.
And S3, distributing the instruction sequence to the KVM module, sending the instruction sequence to a target computer through the KVM module so as to control the target computer by keyboard and mouse, and sending an image interception instruction to an image acquisition module.
In this embodiment, the instruction sequence is downloaded to the instruction module through the communication storage module, and the instruction module splits the instruction sequence and sends the split instruction sequence to devices such as a mouse, a keyboard and the like when the instruction module is in operation.
And S4, the image acquisition module acquires the image of the target area of the set area according to the requirement of the image interception instruction and then transmits the acquired image to the AI identification module.
In this embodiment, the image acquisition module intercepts the image according to the set time and sends the image to the AI identification module.
And S5, after the AI identification module identifies the information in the target area, sending the information to a communication storage module.
And S6, the communication storage module uploads the identified information to a data storage and service module for providing data service to the outside.
In this embodiment, the identified information may be any one or more of characters, numbers and pictures.
In this embodiment, the pictures may include data representing length and area, such as a pie chart and a sector chart.
In this embodiment, the information acquisition frequency of the image acquisition and analysis module is variable.
Example two.
Fig. 2 is a schematic structural diagram of a visual data acquisition system according to an embodiment of the present invention, where the system includes an image acquisition and analysis module, an acquisition instruction graphical generation module, and a data storage and service module, and the image acquisition and analysis module includes an image acquisition module, an AI identification module, a KVM module, an instruction module, and a communication storage module.
In this embodiment, the collection instruction graphics generation module sets one or more target areas of a video screen of each computer, then forms a setting instruction, forms the setting instruction into an instruction sequence, and then downloads the instruction sequence to the corresponding KVM module through the pointed instruction module.
And distributing the instruction sequence to the KVM module, sending the instruction sequence to a target computer through the KVM module so as to control the keyboard and mouse of the target computer, and sending an image interception instruction to the image acquisition module.
And the image acquisition module acquires the image of the target area of the set area according to the requirement of the image interception instruction and then transmits the acquired image to the AI identification module.
And after identifying the information in the target area, the AI identification module sends the information to the communication storage module.
And the communication storage module uploads the identified information to the data storage and service module for providing data service to the outside.
According to the visual data acquisition method and system, the KVM module can simulate human operation, move a mouse to acquire parameters or click the mouse to acquire the parameters, the pause time after moving or clicking can be edited, and then information is acquired for identification and analysis.
In the environments of big data visualization, digital signage, intelligent manufacturing integration and the like, the invention can acquire, identify and statistically analyze the information of each platform in real time without docking with the target platform running on each computer, thereby reducing the docking difficulty and workload and improving the docking speed.
Furthermore, the term "plurality" means two or more. While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (6)
1. A method of visual data acquisition, the method comprising the steps of:
s1, connecting a plurality of computers to one or a plurality of image acquisition and analysis modules;
s2, setting one or more target areas of the video picture of each computer by the acquisition instruction graphical generation module, then forming a setting instruction, forming the setting instruction into an instruction sequence, and then downloading the instruction sequence to the corresponding KVM module through the instruction module;
s3, distributing the instruction sequence to the KVM module, sending the instruction sequence to a target computer through the KVM module to control the target computer through keyboard and mouse, and sending an image intercepting instruction to an image acquisition module;
s4, the image acquisition module acquires the image of the target area of the set area according to the requirement of the image interception instruction and then transmits the acquired image to the AI identification module;
s5, after the AI identification module identifies the information in the target area, the information is sent to a communication storage module;
and S6, the communication storage module uploads the identified information to a data storage and service module for providing data service to the outside.
2. A visual data acquisition method according to claim 1, characterized in that: the identified information may be any one or more of characters, numbers and pictures.
3. A visual data acquisition method according to claim 2, characterized in that: the pictures can contain data representing length and area, such as pie charts and sector charts.
4. A visual data acquisition method according to claim 1, characterized in that: the information acquisition frequency of the image acquisition and analysis module is variable.
5. A visual data acquisition system, characterized by: the system comprises an image acquisition and analysis module, an acquisition instruction imaging generation module and a data storage and service module, wherein the image acquisition and analysis module comprises an image acquisition module, an AI identification module, a KVM (keyboard video mouse) module, an instruction module and a communication storage module.
6. A visual data acquisition system according to claim 5, wherein:
the acquisition instruction imaging generation module sets one or more target areas of a video picture of each computer, then forms a set instruction, forms the set instruction into an instruction sequence, and then downloads the instruction sequence to the corresponding KVM module through the instruction module;
the instruction sequence is distributed to the KVM module and is sent to a target computer through the KVM module so as to control the target computer through keyboard and mouse, and meanwhile, an image interception instruction is sent to the image acquisition module;
the image acquisition module acquires an image of a target area of a set area according to the requirement of the image interception instruction and then transmits the image to the AI identification module;
the AI identification module identifies information in a target area and then sends the information to the communication storage module;
and the communication storage module uploads the identified information to the data storage and service module for providing data service to the outside.
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