CN108460344A - Dynamic area intelligent identifying system in screen and intelligent identification Method - Google Patents
Dynamic area intelligent identifying system in screen and intelligent identification Method Download PDFInfo
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Abstract
The present invention provides the dynamic area intelligent identifying system and intelligent identification Method in a kind of screen, which includes：Video acquisition device, the video image for acquiring board display；Picture acquiring device for obtaining batch picture, and is sent to dynamic area position detecting module；Dynamic area position detecting module goes out dynamic area for identification, and detects position of the dynamic area in picture, and position data of the dynamic area in picture is sent to type identification module；Dynamic area type identification module goes out the data type of dynamic area, and the data type of the position of dynamic area and dynamic area is sent to database as template for identification；Database is convenient for subsequent inquiry and calling for storing Template Information.The present invention has the advantages that cost-effective, working efficiency is higher, recognition accuracy is higher.
Description
Technical field
The present invention relates to dynamic area identification field more particularly to a kind of screen in dynamic area intelligent identifying system and
Intelligent identification Method.
Background technology
Board status information is the basis of process parameter optimizing, product quality optimizing stability, in workshop intellectualized reconstruction
(including MES is implemented, big data analysis or AI are transformed) in the process, has the important state data of many boards due to data-interface
Reason cannot directly obtain, and need to carry out again by extracting mass data information in the image or video to board status display
Analysis.
In the prior art, general screen progress picture or video intercepting using to showing board state, and then to machine
Mass data information is extracted in the image or video of platform status display, then carries out the type of analysis dynamic area, but to machine
The process that mass data information is extracted in the image or video of platform status display is typically all according to artificial observation and artificial
It identifies to complete, the manual operations of this mode is more uninteresting, inefficient, time-consuming, and cost is higher, has inaccurate, error
The disadvantage that rate is high, working efficiency is slow.
Therefore, be badly in need of a kind of intelligent, it is being capable of automatic identification dynamic area type, in intelligent recognition screen
The system and method for dynamic area.
Invention content
In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly
State dynamic area intelligent identifying system and the intelligent identification Method in the screen of problem.
One aspect of the present invention provides the dynamic area intelligent identifying system in a kind of screen, including：
Video acquisition device, the video image for acquiring board display；
Picture acquiring device is used to obtain batch picture from the video image that video acquisition device acquires, and is sent to
Dynamic area position detecting module；
Dynamic area position detecting module extracts the pixel value in each region for dividing region in advance to every pictures,
According to the pixel value in the same area in different pictures, dynamic area, and profile and aberration according to different zones are identified
From detecting position of the dynamic area in picture in picture, and position data of the dynamic area in picture is sent to dynamic
Area type identification module；
Dynamic area type identification module, the data class for identifying dynamic area according to optical character recognition method
Type, and the data type of the position data of dynamic area and dynamic area is sent to database as template；
Database is convenient for subsequent inquiry and calling for storing Template Information.
Further, picture acquiring device is specifically used in preset time, according to the default sampling period to video acquisition
The video image of device acquisition carries out continuous screenshotss operation, and the plurality of pictures of acquisition is sent to dynamic area position detection mould
Block.
Further, video acquisition device is any in camera, screenshotss software and video frequency collection card.
Further, dynamic area position detecting module is calculated using Binarization methods, edge enhancement algorithm and contour detecting
Any in method identifies dynamic area, and detects position of the dynamic area in picture.
Further, the data type of dynamic area is value type, text type, icon type, curve and table class
Any in type.
Further, picture acquiring device is electrically connected with video acquisition device, dynamic area position detecting module respectively, class
Type identification module is electrically connected with dynamic area position detecting module, database respectively.
The second aspect of the invention provides the dynamic area intelligent identification Method in a kind of screen, including following step
Suddenly：
The video image of board display is acquired using video acquisition device；
Batch picture is obtained from the video image that video acquisition device acquires using picture acquiring device, and is sent to dynamic
State regional location detection module；
Region is divided in advance to every pictures using dynamic area position detecting module, extracts the pixel value in each region,
According to the pixel value in the same area in different pictures, dynamic area, and profile and aberration according to different zones are identified
From detecting position of the dynamic area in picture in picture, and position data of the dynamic area in picture is sent to dynamic
Area type identification module；
The data type of dynamic area is identified according to optical character recognition method using dynamic area type identification module,
And the data type of the position data of dynamic area and dynamic area is sent to database as template；
Using database purchase Template Information, it is convenient for subsequent inquiry and calling.
Further, video acquisition device is any in camera, screenshotss software and video frequency collection card.
Further, dynamic area position detecting module is calculated using Binarization methods, edge enhancement algorithm and contour detecting
Any in method identifies dynamic area, and detects position of the dynamic area in picture.
Further, the data type of dynamic area is value type, text type, icon type, curve and table class
Any in type.
Dynamic area intelligent identifying system in screen provided by the invention and intelligent identification Method, compared with prior art
With following progress：Using video acquisition device acquire board display video image, and using picture acquiring device from regarding
Batch picture is obtained in the video image of frequency harvester acquisition, recycles dynamic area position detecting module according to image procossing
Algorithm recycles dynamic area type identification module to identify from the position for detecting dynamic area in picture and its in picture
The data type of dynamic area carries out in the database using the data type of the position of dynamic area and dynamic area as template
Storage, in order to subsequently automatically identify the data type of dynamic area.Instead of manual using artificial progress in the prior art
The process of operation, saves cost of labor, improves the accuracy of the efficiency of dynamic area type identification and identification in screen.
Above description is only the general introduction of technical solution of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, below the special specific implementation mode for lifting the present invention.
Description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit are common for this field
Technical staff will become clear.Attached drawing only for the purpose of illustrating preferred embodiments, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings：
Fig. 1 is that the device of the dynamic area intelligent identifying system in one screen of the embodiment of the present invention connects block diagram；
The step of Fig. 2 is the dynamic area intelligent identification Method in two screen of the embodiment of the present invention is schemed.
Specific implementation mode
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific terminology), there is meaning identical with the general understanding of the those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless by specific definitions, otherwise will not be explained with the meaning of idealization or too formal.
An embodiment of the present invention provides the dynamic area intelligent identifying systems and intelligent identification Method in screen.
Embodiment one
Fig. 1 diagrammatically illustrates the device connection of the dynamic area intelligent identifying system in the screen of the embodiment of the present invention one
Block diagram.Referring to Fig.1, the dynamic area intelligent identifying system in the screen of the embodiment of the present invention one, including：
Video acquisition device, the video image for acquiring board display；
Picture acquiring device for obtaining batch picture from the video image that video acquisition device acquires, and is sent to
Dynamic area position detecting module；
Dynamic area position detecting module extracts the pixel value in each region for dividing region in advance to every pictures,
According to the pixel value in the same area in different pictures, dynamic area, and profile and aberration according to different zones are identified
From detecting position of the dynamic area in picture in picture, and position data of the dynamic area in picture is sent to dynamic
Area type identification module；
Dynamic area type identification module, the data class for identifying dynamic area according to optical character recognition method
Type, and the data type of the position data of dynamic area and dynamic area is sent to database as template；
Database is convenient for subsequent inquiry and calling for storing Template Information.
Wherein, picture acquiring device is electrically connected with video acquisition device, dynamic area position detecting module respectively, and type is known
Other module is electrically connected with dynamic area position detecting module, database respectively.
In the present embodiment, picture acquiring device is specifically used in preset time, is adopted to video according to the default sampling period
The video image of acquisition means acquisition carries out continuous screenshotss operation, and the plurality of pictures of acquisition is sent to dynamic area position detection
Module.In one embodiment, picture acquiring device carries out continuous interception picture using screenshotss software to image.Due to demand and
Regional change frequency is different in video or image, and the sample frequency of the area data can be provided according to some regional change frequency,
Further provide storage scheme.In one specific embodiment, such as preheating remaining time, it is assumed that the frame amount of video is 20 frames/second,
The regional change is 1200 frames, then the sample frequency of the data is 1 time/min.It is obtained according to the predetermined frequency picture of regional change
Device obtains time of picture, sampling period and the quantity for obtaining picture, relatively more flexible and convenient, the recognition result that finally carries out and
Template definition is more accurate.
In the present embodiment, video acquisition device is any in camera, screenshotss software and video frequency collection card.With camera shooting
The video image of head, screenshotss software or video frequency collection card acquisition board display, cost is relatively low, and subsequent use and repair are tieed up
It protects more convenient.
In the present embodiment, dynamic area position detecting module utilizes Binarization methods, edge enhancement algorithm and contour detecting
Any in algorithm identifies dynamic area, and detects position of the dynamic area in picture.In one embodiment, picture
The pixel for the batch picture that acquisition device is obtained from the video image that video acquisition device acquires is 1920*1080, picture
Four vertex are (0,0) (50,0) (0,50) (50,50), and dynamic area position detecting module is first according to Binarization methods to figure
Piece divides region, is compared to every pictures according to the pixel value of different zones, determines dynamic area, increases further according to edge
Strong algorithms and contour detecting algorithm detect position of the dynamic area in picture.If the position of a dynamic area is (0,0)
(25,0) (0,25) (25,25)；Dynamic area type identification module is identified according to any algorithm in optical character recognition method
Go out the data type of dynamic area, such as date, Chinese character etc..Optical character identification (OCR,
OpticalCharacterRecognition the algorithm comparison) in system is simple, operates and easy to use, can save artificial
Workload and cost, improve recognition efficiency.
In the present embodiment, a pictures can there are one or multiple regions, the dynamic area after identification and its data class
Type information is the template of board video image, and database is for preserving Template Information, in order to subsequent calling or inquiry.
In one specific embodiment, the picture of batch can also be carried out to binary conversion treatment, edge enhancing processing and contour detecting successively
Processing, keeps dynamic area identification of position in picture more accurate.Algorithm in the present embodiment as an example, but dynamic
The algorithm of regional location detection module detection dynamic area is not limited to these, will not enumerate herein.
In the present embodiment, the data type of dynamic area is value type, text type, icon type, curve and table
Any in type.The present embodiment only enumerates these types of data type, but is not limited to these, will not enumerate herein.
Embodiment two
Fig. 2, which diagrammatically illustrates the step of dynamic area intelligent identification Method in the screen of the embodiment of the present invention two, to scheme.
With reference to Fig. 2, the dynamic area intelligent identification Method in the screen of the embodiment of the present invention two includes the following steps：In a kind of screen
Dynamic area intelligent identification Method, include the following steps：
The video image of board display is acquired using video acquisition device；
Batch picture is obtained from the video image that video acquisition device acquires using picture acquiring device, and is sent to dynamic
State regional location detection module；
Region is divided in advance to every pictures using dynamic area position detecting module, extracts the pixel value in each region,
According to the pixel value in the same area in different pictures, dynamic area, and profile and aberration according to different zones are identified
From detecting position of the dynamic area in picture in picture, and position data of the dynamic area in picture is sent to dynamic
Area type identification module；
The data type of dynamic area is identified according to optical character recognition method using dynamic area type identification module,
And the data type of the position data of dynamic area and dynamic area is sent to database as template；
Using database purchase Template Information, it is convenient for subsequent inquiry and calling.
Dynamic area intelligent identification Method in the screen of the embodiment of the present invention, passes through the video image to board display
Acquisition plurality of pictures is carried out, and plurality of pictures is handled using algorithm, can fast and automatically identify dynamic area in picture
The type in domain, the information for follow-up automatic, quickly identification board display video image provide Template Information.The present invention is real
The method for applying example is fairly simple, has the advantages that cost-effective and recognition efficiency is high.
In the present embodiment, video acquisition device is any in camera, screenshotss software and video frequency collection card.Use camera
Or the video image of video frequency collection card acquisition board display, cost is relatively low, subsequent use and repair, maintenance side
Just.
In the present embodiment, dynamic area position detecting module utilizes Binarization methods, edge enhancement algorithm and contour detecting
Any algorithm or polyalgorithm in algorithm identify dynamic area, and detect position of the dynamic area in picture.
In one embodiment, the pixel for the batch picture that picture acquiring device is obtained from the video image that video acquisition device acquires is
Four vertex of 1920*1080, picture are (0,0) (50,0) (0,50) (50,50), dynamic area position detecting module root first
Region is divided to picture according to Binarization methods, every pictures are compared according to the pixel value of different zones, determine dynamic
Region detects position of the dynamic area in picture further according to edge enhancement algorithm and contour detecting algorithm, such as a dynamic
The position in region is (0,0) (25,0) (0,25) (25,25)；Dynamic area type identification module is according to optical character recognition method
In any algorithm identify the data type of dynamic area, such as date, Chinese character etc..Optical character identification (OCR,
OpticalCharacterRecognition), algorithm comparison is simple, operates and easy to use, can save artificial workload
And cost, improve recognition efficiency.
In the present embodiment, a pictures can there are one or multiple regions, the dynamic area after identification and its data class
Type information, is the template of board video image, and database is convenient for subsequent inquiry or calling for preserving Template Information.One
In a specific embodiment, the picture of batch can also be carried out successively at binary conversion treatment, edge enhancing processing and contour detecting
Reason, keeps dynamic area identification of position in picture more accurate.Algorithm in the present embodiment as an example, but dynamic area
The algorithm of domain position detecting module detection dynamic area is not limited to these, will not enumerate herein.
In the present embodiment, the data type of dynamic area is value type, text type, icon type, curve and table
Any in type.The present embodiment is to enumerate relatively common, the general data type of these types, but be not limited to these, herein
It will not enumerate.
Dynamic area intelligent identification Method in the screen of the embodiment of the present invention is operated and using simply, can greatly be saved
The about artificial amount of labour, improve screen in dynamic area identification intelligence, automation, have it is cost-effective and improve efficiency
The advantages of.
Embodiment three
The course of work of dynamic area intelligent identifying system in the embodiment of the present invention three in screen is：Use video acquisition
Card is acquired the video image of board display, and carries out batch interception picture to video image using screenshotss software, should
The frame amount of video is 20 frames/second, which is 1200 frames, is 1 time/min to the sample frequencys of the data, and the sampling period is
To end since video.The picture of batch interception is sent to dynamic area position detecting module；It examines dynamic area position
It surveys module and picture is showed into apparent black and white effect with Binarization methods first, calculate the histogram of each intensity level and general
W is arranged in ratei(0) and μi(0) initial value traverses all possible threshold value t, updates wiAnd μi, calculateRequired threshold value
Corresponding to maximumSpecific calculating process is as follows：
Exhaustive search can make the threshold value t of variance within clusters minimum, be defined as the weighted sum of the variance of two classes：
Wherein, weight wiBe by the probability of threshold value t two classes separated, andIt is the variance of the two classes, minimizes class
Internal variance and maximization inter-class variance are identical：
Wherein, wiIt is class probability, μiIt is class mean value,
After picture is showed apparent black and white effect with Binarization methods, the data volume in picture is greatly reduced, from
And the profile of target can be highlighted, reuse brightness value (or tone) of the edge enhancement algorithm by picture adjacent picture elements (or region)
It differs and is highlighted at larger edge (i.e. the boundary line of image tone mutation or type of ground objects), it is enhanced through edge
Picture can more clearly show the boundary of different species types or phenomenon or the trace of linear image, in order to different objects
The identification of type and its delineation of distribution.Then again by contour detecting in the digital picture comprising target and background,
Ignore the texture of background and target internal and the influence of noise jamming, the profile of target area is extracted, wherein profile
Detection includes being calculated based on image subset, Contour extraction and based on distance of swimming algorithm.If multiple intercepted to video
Picture is then carried out Euclidean distance and calculates the continuous two pictures (company of video using the method for variation detection by the way that threshold value is arranged
Continuous two frames) diversity judgement video in variation, specific algorithm is：
Threshold value t is set, video two continuous frames, f are takeniAnd fi+1, calculate fiAnd fi+1Between Euclidean distance d, calculation formula
For：If d ＞ t, then it is assumed that image has in the presence of variation.
After dynamic area position detecting module detects the position of dynamic area by algorithm above, dynamic area type is known
It is the types such as date or Chinese character that other module calculates dynamic area according to any algorithm in OCR system, and is sent out as template
Database is given to be preserved.In order to the dynamic area subsequently in the processing to board video image in automatic identification screen
Type.
The video image of video acquisition device acquisition board display includes picture and video in the embodiment of the present invention.
Dynamic area intelligent identifying system in the screen of the embodiment of the present invention and intelligent identification Method, simple in structure, behaviour
Make easy to use, a large amount of hand labor can be saved, have it is cost-effective, improve the excellent of working efficiency and recognition accuracy
Point.
For embodiment of the method, for simple description, therefore it is all expressed as a series of combination of actions, but this field
Technical staff should know that the embodiment of the present invention is not limited by the described action sequence, because implementing according to the present invention
Example, certain steps can be performed in other orders or simultaneously.Next, those skilled in the art should also know that, specification
Described in embodiment belong to preferred embodiment, necessary to the involved action not necessarily embodiment of the present invention.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
With technical scheme described in the above embodiments is modified or equivalent replacement of some of the technical features；
And these modifications or replacements, various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. the dynamic area intelligent identifying system in a kind of screen, which is characterized in that including：
Video acquisition device, the video image for acquiring board display；
Picture acquiring device for obtaining batch picture from the video image that video acquisition device acquires, and is sent to dynamic
Regional location detection module；
Dynamic area position detecting module extracts the pixel value in each region for dividing region in advance to every pictures, according to
Pixel value in different pictures in the same area, identifies dynamic area, and according to the profiles of different zones and aberration from figure
Position of the dynamic area in picture is detected in piece, and position data of the dynamic area in picture is sent to dynamic area
Type identification module；
Dynamic area type identification module, the data type for identifying dynamic area according to optical character recognition method, and
The data type of the position data of dynamic area and dynamic area is sent to database as template；
Database is convenient for subsequent inquiry and calling for storing Template Information.
2. the dynamic area intelligent identifying system in screen according to claim 1, which is characterized in that picture acquiring device
Specifically in preset time, continuous screenshotss are carried out to the video image that video acquisition device acquires according to the default sampling period
Operation, and the plurality of pictures of acquisition is sent to dynamic area position detecting module.
3. the dynamic area intelligent identifying system in screen according to claim 2, which is characterized in that video acquisition device
For any in camera, screenshotss software and video frequency collection card.
4. the dynamic area intelligent identifying system in screen according to claim 3, which is characterized in that dynamic area position
Detection module is identified using any in Binarization methods, edge detection algorithm, edge enhancement algorithm and contour detecting algorithm
Dynamic area, and detect position of the dynamic area in picture.
5. the dynamic area intelligent identifying system in screen according to claim 4, which is characterized in that the number of dynamic area
It is any in value type, text type, icon type, curve and form types according to type.
6. the dynamic area intelligent identifying system in screen according to claim 5, which is characterized in that picture acquiring device
It is connect respectively with video acquisition device, dynamic area position detecting module, type identification module is examined with dynamic area position respectively
Survey module, database connection.
7. the dynamic area intelligent identification Method in a kind of screen, which is characterized in that include the following steps：
The video image of board display is acquired using video acquisition device；
Batch picture is obtained from the video image that video acquisition device acquires using picture acquiring device, and is sent to dynamic area
Domain position detecting module；
Region is divided in advance to every pictures using dynamic area position detecting module, extracts the pixel value in each region, according to
Pixel value in different pictures in the same area, identifies dynamic area, and according to the profiles of different zones and aberration from figure
Position of the dynamic area in picture is detected in piece, and position data of the dynamic area in picture is sent to dynamic area
Type identification module；
The data type of dynamic area is identified according to optical character recognition method using dynamic area type identification module, and will
The position data of dynamic area and the data type of dynamic area are sent to database as template；
Using database purchase Template Information, it is convenient for subsequent inquiry and calling.
8. the dynamic area intelligent identification Method in screen according to claim 7, which is characterized in that video acquisition device
For any in camera, screenshotss software and video frequency collection card.
9. the dynamic area intelligent identification Method in screen according to claim 8, which is characterized in that dynamic area position
Detection module identifies dynamic area using any in Binarization methods, edge enhancement algorithm and contour detecting algorithm, and
Detect position of the dynamic area in picture.
10. the dynamic area intelligent identification Method in screen according to claim 9, which is characterized in that dynamic area
Data type is any in value type, text type, icon type, curve and form types.
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| CN110298352A (en) * | 2019-06-28 | 2019-10-01 | 浙江中烟工业有限责任公司 | A kind of extraction element and method of the screen data of cigarette pack machine detecting device |
| CN112052820A (en) * | 2020-09-15 | 2020-12-08 | 展讯通信（上海）有限公司 | Test method and device for identifying AI scene identification rate, storage medium and terminal |
| CN113486892A (en) * | 2021-07-02 | 2021-10-08 | 东北大学 | Production information acquisition method and system based on smartphone image recognition |
| CN114140382A (en) * | 2021-10-22 | 2022-03-04 | 珠海视熙科技有限公司 | Screen area detection method and device and storage medium |
| CN116032963A (en) * | 2022-12-27 | 2023-04-28 | 昆岳互联环境技术(江苏)有限公司 | Method for acquiring industrial production equipment data by industrial cloud platform |
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