WO2024060470A1 - Data analysis system and method - Google Patents

Abstract

The present invention relates to a data analysis system. The system comprises: a database memory, which is used for executing database storage of standard pictures by using a picture database, wherein the picture database stores each brightness value of each pixel point of each standard picture, and an out-of-focus identifier representing whether the standard picture is in an out-of-focus state; and an out-of-focus determination device, which is used for determining, on the basis of each brightness value of each pixel point of the current scene image, the resolution of the current scene image, and a signal-to-noise ratio, whether the current scene image is out of focus. The present invention further relates to a data analysis method. By means of the present invention, associated image data can be provided for each photographic capture mechanism by using a database storage mode; moreover, an out-of-focus model, which has been subjected to multiple instances of learning, is introduced to execute on-site determination regarding whether the current captured image is in an out-of-focus state, such that valuable reference information is provided for the unlocking of a focusing execution device of the photographic capture mechanism.

Description

Data analysis system and method Technical field

The present invention relates to the field of database applications, and more specifically, to a data analysis system and method.

Background technique

A database is a warehouse that stores data. It has a large storage space and can store millions, tens of millions, or hundreds of millions of pieces of data. However, the database does not store data arbitrarily, there are certain rules, otherwise the query efficiency will be very low. Today's world is an Internet world full of data, filled with a lot of data. That is, this Internet world is the data world. There are many sources of data, such as travel records, consumption records, web pages browsed, messages sent, etc. In addition to text type data, images, music, and sounds are all data.

In the history of database development, databases have experienced various stages of development, such as hierarchical databases, network databases, and relational databases, and database technology has developed rapidly in all aspects. In particular, relational databases have become the most important member of current database products. Since the 1980s, almost all new database products released by database vendors support relational databases, and even some non-relational database products almost all have interfaces that support relational databases. This is mainly because traditional relational databases can better solve the problem of managing and storing relational data. With the development of cloud computing and the advent of the big data era, relational databases are increasingly unable to meet the needs. This is mainly because more and more semi-relational and non-relational data need to be stored and managed by databases. At the same time, the emergence of new technologies such as distributed technology has also put forward new requirements for database technology, so more and more non-relational databases have begun to appear. This type of database is very different from traditional relational databases in design and data structure. They emphasize high concurrent reading and writing of database data and storage of big data. This type of database is generally called NoSQL (Not only SQL) database. However, traditional relational databases still maintain strong vitality in some traditional fields.

At present, the application of databases is relatively common, providing data solutions for each application scenario. However, there are too many subdivisions, which leads to the lack of mature processing mechanisms in some subdivisions of the database, such as the focus application of the camera capture mechanism. Specifically, for each camera capture mechanism, it has the following two defects: the focus execution device of the camera capture mechanism has always been enabled, which is prone to false operation; it is difficult to accurately judge the accurate state of the image currently captured by the camera capture mechanism at the edge of out of focus and focus, so it is impossible to determine whether subsequent focus processing needs to be performed.

Contents of the invention

In order to solve technical problems in related fields, the present invention provides a data analysis system and method, which can use a database storage mode to provide associated image data for each camera capture mechanism, and provide learning and analysis of the defocus model of each camera capture mechanism. The establishment provides a data foundation. What is particularly critical is that the out-of-focus model after multiple learning is introduced to perform on-site judgment on whether the currently captured image is in an out-of-focus state, thereby providing valuable reference information for unlocking the focus execution device of the camera capture mechanism. This avoids malfunction of the focus execution device.

According to one aspect of the present invention, a data analysis system is provided, which system includes:

A database memory, used for performing database storage of standard images using an image database, wherein the image database stores each brightness value of each pixel point of each standard image and an out-of-focus mark indicating whether the standard image is in an out-of-focus state, and each standard image in the image database has the same resolution and comes from the same camera capture mechanism;

A camera capture mechanism, associated with a certain image database in the database memory, used to perform the capture action of the current scene under user instructions to obtain the current scene image;

A modeling operating mechanism is respectively connected to the database memory and the camera capture mechanism, and is used to use the picture database associated with the camera capture mechanism in the database memory as a target database, and use a certain image in the target database to Each brightness value of each pixel of the standard picture, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the out-of-focus mark corresponding to the standard picture is used as the artificial intelligence model. A single output content, completes a single learning operation of the artificial intelligence model, and outputs the artificial intelligence model that has undergone a predetermined learning total as an intelligent judgment body;

An out-of-focus judgment device, connected to the modeling operating mechanism, is used to use each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image as an intelligent judgment entity. Multiple input contents and execute the intelligent judgment body to obtain the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body;

an enabling control device connected to the focus execution device of the camera capture mechanism, and used to enable the focus execution device when it is determined that the current scene image is in an out-of-focus state based on the out-of-focus mark corresponding to the current scene image output by the intelligent judgment body;

Among them, each brightness value of each pixel point of a certain standard picture in the target database, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the out-of-focus mark corresponding to the standard picture is used as a single output content of the artificial intelligence model to complete a single learning operation of the artificial intelligence model, and the artificial intelligence model after a predetermined total number of learning is output as an intelligent judgment body, including: the value of the predetermined total number of learning is proportional to the resolution of the standard picture;

Wherein, the database memory maintains multiple image databases, each image database corresponding to a different camera capture mechanism.

According to another aspect of the present invention, a data analysis method is also provided, which method includes:

Use a database memory to perform database storage of standard pictures using a picture database. The picture database stores each brightness value of each pixel point of each standard picture and an out-of-focus mark indicating whether the standard picture is in an out-of-focus state, Each standard picture in the picture database has the same resolution and comes from the same camera capture mechanism;

Use a camera capture mechanism, associated with a certain image database in the database memory, to perform the capture action of the current scene under user instructions to obtain the current scene image;

A modeling operating mechanism is used to connect to the database memory and the camera capture mechanism respectively, and is used to use the picture database associated with the camera capture mechanism in the database memory as a target database, and use a certain image in the target database to Each brightness value of each pixel of a standard picture, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the out-of-focus mark corresponding to the standard picture is used as the artificial intelligence model. The single output content of the model completes a single learning operation of the artificial intelligence model, and outputs the artificial intelligence model that has undergone a predetermined learning total as an intelligent judgment body;

Use an out-of-focus judgment device, connected to the modeling operating mechanism, to use the brightness values of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image as intelligent judgments multiple input contents of the entity and execute the intelligent judgment entity to obtain the out-of-focus identification corresponding to the current scene image output by the intelligent judgment entity;

Use an enabling control device, connected to the focus execution device of the camera capture mechanism, for judging that the current scene image is in an out-of-focus state based on the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body. , enable the focus execution device;

Among them, each brightness value of each pixel point of a certain standard picture in the target database, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the out-of-focus mark corresponding to the standard picture is used as a single output content of the artificial intelligence model to complete a single learning operation of the artificial intelligence model, and the artificial intelligence model after a predetermined total number of learning is output as an intelligent judgment body, including: the value of the predetermined total number of learning is proportional to the resolution of the standard picture;

Wherein, the database memory maintains multiple image databases, each image database corresponding to a different camera capture mechanism.

The data analysis system and method of the present invention have compact logic and stable operation. Since the database storage mode can be used to provide associated image data for each camera capture mechanism, and at the same time, the out-of-focus model after multiple learnings can be introduced to perform on-site judgment on whether the currently captured image is in an out-of-focus state, thereby providing a focus execution device for the camera capture mechanism The unlocking provides valuable reference information.

Brief description of the drawings

Those skilled in the art can better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which:

Figure 1 is an internal structure diagram of a data analysis system according to the present invention.

FIG. 2 is a flow chart showing the steps of the data analysis method according to the present invention.

Detailed ways

Now, the present invention will be specifically described with reference to the accompanying drawings with respect to the disclosed subject matter.

Example 1

Figure 1 is a structural block diagram of a data analysis system according to an embodiment of the present invention. The system includes:

A database memory is used to perform database storage of standard pictures using a picture database. The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus mark indicating whether the standard picture is in an out-of-focus state. Each standard image in the above image database has the same resolution and comes from the same camera capture agency;

A camera capture mechanism, associated with a certain picture database in the database memory, used to perform the capture action of the current scene under user instructions to obtain the current scene image;

A modeling operating mechanism is respectively connected to the database memory and the camera capture mechanism, and is used to use the picture database associated with the camera capture mechanism in the database memory as a target database, and use a certain image in the target database to Each brightness value of each pixel of the standard picture, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the out-of-focus mark corresponding to the standard picture is used as the artificial intelligence model. A single output content, completes a single learning operation of the artificial intelligence model, and outputs the artificial intelligence model that has undergone a predetermined learning total as an intelligent judgment body;

A defocus judgment device, connected to the modeling operation mechanism, is used to take the brightness values of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image as multiple input contents of the intelligent judgment body and execute the intelligent judgment body to obtain a defocus mark corresponding to the current scene image output by the intelligent judgment body;

An enabling control device connected to the focus execution device of the camera capture mechanism for determining that the current scene image is in an out-of-focus state based on the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body, Enable the focus execution device;

Among them, each brightness value of each pixel of a certain standard picture in the target database, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the The out-of-focus mark corresponding to the standard picture is used as a single output content of the artificial intelligence model to complete a single learning operation of the artificial intelligence model, and the artificial intelligence model that has undergone a predetermined learning total is used as an intelligent judgment body and the output includes: the predetermined learning total The value of is proportional to the resolution of the standard picture;

Wherein, the database memory maintains multiple image databases, each image database corresponding to a different camera capture mechanism;

Among them, the picture database used in the database memory is based on a relational database and is used to perform database storage of standard pictures. The picture database stores the brightness values of each pixel of each standard picture and indicates whether the standard picture is in failure state. An out-of-focus indicator of the out-of-focus state, each standard image in the image database has the same resolution and comes from the same camera capture mechanism;

And among them, the specific types of the relational database are MySQL, SQL Server, Oracle, etc.

Example 2

Next, the specific structure of the data analysis system of the present invention will be further described.

The data analysis system may also include:

An information storage device, connected to the modeling operating mechanism, used to store various model parameters of the artificial intelligence model that have undergone a predetermined learning total;

Wherein, the enabling control device is further configured to disable the focus execution device when it is determined that the current scene image is in a focus state based on the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body.

In the data analysis system:

Each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image are used as multiple input contents of the intelligent judgment body and the intelligent judgment body is executed to obtain the The out-of-focus flag corresponding to the current scene image output by the intelligent judgment body includes: the resolution of the current scene image is the same as the resolution of any standard picture in the picture database associated with the camera capture mechanism.

In the data analysis system:

The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus flag indicating whether the standard picture is in an out-of-focus state, including: the brightness value of each pixel is between 0-255.

And in the data analysis system:

The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus mark indicating whether the standard picture is in an out-of-focus state, including: 0X00 is used as the out-of-focus mark when the standard picture is not in an out-of-focus state. The logo uses 0XFF as the out-of-focus logo when the standard picture is in an out-of-focus state;

Among them, each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image are used as multiple input contents of the intelligent judgment body and the intelligent judgment body is executed to obtain The out-of-focus flag corresponding to the current scene image output by the intelligent judgment body also includes: when the out-of-focus flag corresponding to the current scene image output by the intelligent judgment body is equal to 0xFF, judging that the current scene image is out of focus. focus state.

Example 3

Figure 2 is a step flow chart of a data analysis method according to an embodiment of the present invention. The method specifically includes the following steps:

Step S201: Use a database memory to perform database storage of standard pictures using a picture database. The picture database stores each brightness value of each pixel of each standard picture and a defocus value indicating whether the standard picture is in an out-of-focus state. Focus identification, each standard picture in the picture database has the same resolution and comes from the same camera capture mechanism;

Step S202: Use a camera capture mechanism, associated with a certain image database in the database memory, to perform the capture action of the current scene under user instructions to obtain the current scene image;

Step S203: Use a modeling operating mechanism to connect to the database memory and the camera capture mechanism respectively to use the image database associated with the camera capture mechanism in the database memory as a target database, and use the target database to Each brightness value of each pixel of a certain standard picture, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the out-of-focus mark corresponding to the standard picture is As a single output content of the artificial intelligence model, complete a single learning operation on the artificial intelligence model, and output the artificial intelligence model that has undergone a predetermined learning total as an intelligent judgment body;

Step S204: Use an out-of-focus judgment device, connected to the modeling operating mechanism, to determine the brightness values of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image. As multiple input contents of the intelligent judgment body and execute the intelligent judgment body to obtain the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body;

Step S205: using an enabling control device to be connected to a focus execution device of the camera capture mechanism, and used to enable the focus execution device when it is determined that the current scene image is in an out-of-focus state based on the out-of-focus mark corresponding to the current scene image output by the intelligent judgment body;

Among them, each brightness value of each pixel of a certain standard picture in the target database, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the The out-of-focus mark corresponding to the standard picture is used as a single output content of the artificial intelligence model to complete a single learning operation of the artificial intelligence model, and the artificial intelligence model that has undergone a predetermined learning total is used as an intelligent judgment body and the output includes: the predetermined learning total The value of is proportional to the resolution of the standard picture;

Wherein, the database memory maintains multiple image databases, each image database corresponding to a different camera capture mechanism.

Next, the specific steps of the data analysis method of the present invention will be further described.

The data analysis method may also include:

Use an information storage device, connected to the modeling operating mechanism, to store various model parameters of the artificial intelligence model that have undergone a predetermined learning total;

Wherein, the enabling control device is further configured to disable the focus execution device when it is determined that the current scene image is in a focus state based on the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body.

Among the data analysis methods:

Each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image are used as multiple input contents of the intelligent judgment body and the intelligent judgment body is executed to obtain the The out-of-focus identification corresponding to the current scene image output by the intelligent judgment body includes: the resolution of the current scene image is the same as the resolution of any standard picture in the picture database associated with the camera capture mechanism.

Among the data analysis methods:

The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus flag indicating whether the standard picture is in an out-of-focus state, including: the brightness value of each pixel is between 0-255.

And among the data analysis methods described:

The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus mark indicating whether the standard picture is in an out-of-focus state, including: 0X00 is used as the out-of-focus mark when the standard picture is not in an out-of-focus state. The logo uses 0XFF as the out-of-focus logo when the standard picture is in an out-of-focus state;

Among them, taking the brightness values of each pixel point of the current scene image, the resolution of the current scene image and the signal-to-noise ratio of the current scene image as multiple input contents of the intelligent judgment body and executing the intelligent judgment body to obtain the defocus mark corresponding to the current scene image output by the intelligent judgment body also includes: when the defocus mark corresponding to the current scene image output by the intelligent judgment body is equal to 0XFF, judging that the current scene image is in an out-of-focus state.

In addition, in the data analysis system and method, each brightness value of each pixel point of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image are used as multiple inputs of the intelligent judgment body Contents and executing the intelligent judgment body to obtain the out-of-focus flag corresponding to the current scene image output by the intelligent judgment body also includes: when the out-of-focus flag corresponding to the current scene image output by the intelligent judgment body is equal to 0X00 When, it is determined that the current scene image is in focus.

Those skilled in the art will understand that various modifications and changes can be made without departing from the scope and spirit of the invention. Therefore, it should be understood that the above embodiments are only illustrative and not limiting. Because the scope of the present invention is defined by the claims rather than the foregoing description, any changes and modifications that fall within the scope and boundaries of the claims or equivalents of these ranges and boundaries are subject to the claims.

Claims (10)

A data analysis system, characterized in that the system includes: A database memory is used to perform database storage of standard pictures using a picture database. The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus mark indicating whether the standard picture is in an out-of-focus state. Each standard image in the above image database has the same resolution and comes from the same camera capture agency; A camera capture mechanism, associated with a certain picture database in the database memory, used to perform the capture action of the current scene under user instructions to obtain the current scene image; A modeling operation mechanism, connected to the database memory and the camera capture mechanism, respectively, for using the image database associated with the camera capture mechanism in the database memory as a target database, using the brightness values of each pixel of a certain standard image in the target database, the resolution of the standard image, and the signal-to-noise ratio of the standard image as multiple input contents of the artificial intelligence model, using the out-of-focus mark corresponding to the standard image as a single output content of the artificial intelligence model, completing a single learning operation on the artificial intelligence model, and outputting the artificial intelligence model after a predetermined total number of learning as an intelligent judgment body; An out-of-focus judgment device, connected to the modeling operating mechanism, is used to use each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image as an intelligent judgment entity. Multiple input contents and execute the intelligent judgment body to obtain the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body; An enabling control device connected to the focus execution device of the camera capture mechanism for determining that the current scene image is in an out-of-focus state based on the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body, Enable the focus execution device; Among them, each brightness value of each pixel of a certain standard picture in the target database, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the The out-of-focus mark corresponding to the standard picture is used as a single output content of the artificial intelligence model to complete a single learning operation of the artificial intelligence model, and the artificial intelligence model that has undergone a predetermined learning total is used as an intelligent judgment body and the output includes: the predetermined learning total The value of is proportional to the resolution of the standard picture; The database memory stores a plurality of image databases, each of which corresponds to a different camera capture mechanism. The data analysis system of claim 1, wherein the system further includes: An information storage device, connected to the modeling operating mechanism, used to store various model parameters of the artificial intelligence model that have undergone a predetermined learning total; Wherein, the enabling control device is further configured to disable the focus execution device when it is determined that the current scene image is in a focus state based on the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body. The data analysis system according to any one of claims 1-2, characterized in that: Each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image are used as multiple input contents of the intelligent judgment body and the intelligent judgment body is executed to obtain the The out-of-focus flag corresponding to the current scene image output by the intelligent judgment body includes: the resolution of the current scene image is the same as the resolution of any standard picture in the picture database associated with the camera capture mechanism. The data analysis system according to any one of claims 1-2, characterized in that: The image database stores the brightness values of each pixel of each standard image and the out-of-focus mark indicating whether the standard image is in an out-of-focus state, including: the brightness value of each pixel is between 0-255. The data analysis system as claimed in claim 4, characterized in that: The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus mark indicating whether the standard picture is in an out-of-focus state, including: 0X00 is used as the out-of-focus mark when the standard picture is not in an out-of-focus state. The logo uses 0XFF as the out-of-focus logo when the standard picture is in an out-of-focus state; Among them, each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image are used as multiple input contents of the intelligent judgment body and the intelligent judgment body is executed to obtain The out-of-focus flag corresponding to the current scene image output by the intelligent judgment body also includes: when the out-of-focus flag corresponding to the current scene image output by the intelligent judgment body is equal to 0xFF, judging that the current scene image is out of focus. focus state. A data analysis method, characterized in that the method includes: Use a database memory to perform database storage of standard pictures using a picture database. The picture database stores each brightness value of each pixel point of each standard picture and an out-of-focus mark indicating whether the standard picture is in an out-of-focus state, Each standard picture in the picture database has the same resolution and comes from the same camera capture mechanism; Use a camera capture mechanism, associated with a certain image database in the database memory, to perform the capture action of the current scene under user instructions to obtain the current scene image; A modeling operating mechanism is used to connect to the database memory and the camera capture mechanism respectively, and is used to use the picture database associated with the camera capture mechanism in the database memory as a target database, and use a certain image in the target database to Each brightness value of each pixel of a standard picture, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the out-of-focus mark corresponding to the standard picture is used as the artificial intelligence model. The single output content of the model completes a single learning operation of the artificial intelligence model, and outputs the artificial intelligence model that has undergone a predetermined learning total as an intelligent judgment body; Use an out-of-focus judgment device, connected to the modeling operating mechanism, to use the brightness values of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image as intelligent judgments multiple input contents of the entity and execute the intelligent judgment entity to obtain the out-of-focus identification corresponding to the current scene image output by the intelligent judgment entity; Using an enabling control device connected to a focus execution device of the camera capture mechanism, for enabling the focus execution device when judging that the current scene image is in an out-of-focus state based on an out-of-focus mark corresponding to the current scene image output by the intelligent judgment body; Among them, each brightness value of each pixel of a certain standard picture in the target database, the resolution of the standard picture and the signal-to-noise ratio of the standard picture are used as multiple input contents of the artificial intelligence model, and the The out-of-focus mark corresponding to the standard picture is used as a single output content of the artificial intelligence model to complete a single learning operation of the artificial intelligence model, and the artificial intelligence model that has undergone a predetermined learning total is used as an intelligent judgment body and the output includes: the predetermined learning total The value of is proportional to the resolution of the standard picture; Wherein, the database memory maintains multiple image databases, each image database corresponding to a different camera capture mechanism. The data analysis method according to claim 6, characterized in that the method further includes: Use an information storage device, connected to the modeling operating mechanism, to store various model parameters of the artificial intelligence model that have undergone a predetermined learning total; Wherein, the enabling control device is further configured to disable the focus execution device when it is determined that the current scene image is in a focus state based on the out-of-focus identification corresponding to the current scene image output by the intelligent judgment body. The data analysis method according to any one of claims 6 to 7, characterized in that: Each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image are used as multiple input contents of the intelligent judgment body and the intelligent judgment body is executed to obtain the The out-of-focus identification corresponding to the current scene image output by the intelligent judgment body includes: the resolution of the current scene image is the same as the resolution of any standard picture in the picture database associated with the camera capture mechanism. The data analysis method according to any one of claims 6-7, characterized in that: The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus flag indicating whether the standard picture is in an out-of-focus state, including: the brightness value of each pixel is between 0-255. The data analysis method as claimed in claim 9, characterized in that: The picture database stores each brightness value of each pixel of each standard picture and an out-of-focus mark indicating whether the standard picture is in an out-of-focus state, including: 0X00 is used as the out-of-focus mark when the standard picture is not in an out-of-focus state. The logo uses 0XFF as the out-of-focus logo when the standard picture is in an out-of-focus state; Among them, each brightness value of each pixel of the current scene image, the resolution of the current scene image, and the signal-to-noise ratio of the current scene image are used as multiple input contents of the intelligent judgment body and the intelligent judgment body is executed to obtain The out-of-focus flag corresponding to the current scene image output by the intelligent judgment body also includes: when the out-of-focus flag corresponding to the current scene image output by the intelligent judgment body is equal to 0xFF, judging that the current scene image is out of focus. focus state.

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